Telefónica moves company-wide reporting to the cloud
Dr. Jens Johannesson
Head of Data Intelligence, Telefónica Germany
ORAYLIS has been successfully supporting us for many years in everything related to information processing for reporting and dashboarding. I value not only their deep methodological expertise — our partner is also always able to flexibly adapt to our individual needs. That’s why we are also relying on ORAYLIS for the transformation of our company-wide data warehouse into the cloud.
At a glance
Customer: Telefónica Germany
Industry: Telecommunications
Project goal: Cloud migration of the company-wide data warehouse during ongoing daily operations
Technologies: Azure Synapse Analytics, Azure Databricks, Power BI
With nearly 50 million mobile and broadband connections, Telefónica Germany is one of the country’s leading telecommunications providers. Around 7,500 employees deliver comprehensive services to both private and business customers.
To compete for customers and identify optimization potential, the company is increasingly relying on data. From top management to in-store staff, employees are supplied daily with up-to-date KPIs and tailored recommendations for action. At the same time, the principles of self-service and data democratization are being consistently advanced — meaning that more and more employees are able to analyze data and independently generate business value. To meet this growing demand, the company is now migrating its enterprise-wide data warehouse (DWH) to the cloud.
Transformation Amid Ongoing Operations
“We are undergoing a comprehensive transformation process, with the migration of our operational system landscape to the cloud being a key component,” explains Dr. Jens Johannesson, Head of Data Intelligence (DI) at Telefónica Germany. His team is responsible for the DWH as well as all standard reporting for more than 1,000 users across all business units. “Essentially, we cover the entire customer lifecycle with reliable facts — a service we must maintain even while developing the cloud data warehouse.”
This highlights the project’s biggest challenge: completely replacing the technological foundation without disrupting daily operations. The concept for a seamless transition from the old to the new data landscape was developed together with ORAYLIS.
Strategic Partner for Planning and Execution
Within the overall project, ORAYLIS assumes a wide range of responsibilities. First, the team ensures the continued smooth operation of the reporting and self-service platforms. This doesn’t just mean maintaining the status quo.
“Until the official launch of the cloud platform, we are extending the existing solution in line with new business requirements,” says Alexander Thume, COO at ORAYLIS and responsible for Telefónica Germany. He sees this reliability as a key success factor: “Daily operations must run flawlessly so everyone involved can fully focus on the new solution.”
ORAYLIS is also heavily involved as a strategic advisor in the development of the new data platform. “We guide the technology decision-makers throughout the transformation process. Based on our broad experience and best practices, we provided a recommendation for building the cloud platform. From there, we jointly defined the target architecture and approach. This was based on Microsoft’s Modern Data Warehouse concept, which we then tailored to Telefónica’s needs and made fully scalable.” ORAYLIS also oversees implementation efforts carried out by various development partners.
Another key role is bridging the gap between technology and business users. “Thanks to our long-standing collaboration, we bring deep domain expertise in the telecommunications business. We maintain constant dialogue with the business units, helping to define and prioritize topics. Ensuring that users are involved from the very beginning is critical to the project’s success.”
Enabling Greater Automation
Beyond democratizing data, the cloud-based approach enables increasing automation of data transformation and provisioning processes. “That’s why we rely as much as possible on managed cloud services in our new solution,” says Dr. Johannesson. Core backend components include Azure Synapse Analytics and Azure Databricks, while Power BI is used on the frontend as a fully cloud-native service.
With this technical foundation, the company aims to automate decision-making processes to an ever-greater extent. “Particularly at the operational level, we see enormous optimization potential. Just consider how many decisions are made daily in our shops alone — regarding networks, technologies, tariffs, and pricing. With our cloud data platform, we are ideally positioned to support these use cases as well.”
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Lena Gädke
Data Product Owner & Developer, Starpool Finanz GmbH
Microsoft Fabric is perfect for our current situation. We can quickly and efficiently build a modern data and AI platform that is fully up to date. This opens up all kinds of possibilities for us in the future.
The collaboration with ORAYLIS is going very well. We have an honest, almost friendly relationship. I can ask any question without hesitation. Even short-term changes are handled in a pragmatic and solution-oriented manner. This is how I imagine successful collaboration between equals. It’s just a lot of fun.
At a glance
Client: starpool
Industry: Financial services
Project objective: Building a modern, scalable data and AI platform
Technologies: Microsoft Fabric
Many medium-sized companies are currently faced with the challenge of setting the course for their digital future. Since the ChatGPT revolution, at the latest, the business applications of data and artificial intelligence seem almost endless. But what is the right path for your own company? Which technologies make sense and how do I proceed?
Lena Gädke from starpool knows what it means to face these questions. As both data product owner and developer, she is primarily responsible for all data-related issues at the financial services provider, which has 132 employees. Until now, a Qlik Sense system was the main tool she used in her daily work. “We developed the solution ourselves. We connected our data sources directly and developed analysis paths as needed. That was sufficient for creating reports. However, as our requirements grew, we reached our limits in many respects. Above all, we lacked a central location where we could consolidate all our data and make it available for analysis with other tools – in other words, what is essentially a modern data lakehouse.”
It was clear to everyone involved that a completely new solution was needed. The wish list included a comprehensively scalable data and AI platform that could be operated and continuously developed even with a small team.
Data-driven company as a target vision
Starpool’s digital vision corresponds to that of a typical data-driven company: “Overall, we want to make working with data easier,” says Lena Gädke. “Every employee should have access to existing data and evaluations and be able to use them for their activities in a self-service manner. In addition, our goal is to gradually automate as many business processes as possible on the basis of data.”
Against this backdrop, the search for the right technology began. Fabric, a new all-in-one data platform from Microsoft, ultimately won the race. “Our data landscape and that of the group is already based on Microsoft components. Therefore, the move in this direction was only logical. At the same time, Fabric’s enormous innovation potential convinced us. Much of it happens at the touch of a button and is easy to use. This suits our small team very well. Ultimately, the technology is perfect for our initial situation. We can quickly and efficiently build a modern data & AI platform that is fully up to date. This opens up all kinds of possibilities for us in the future.”
All that was missing was the right partner for strategic planning and implementation of the solution. Starpool found this partner through an internet search. “ORAYLIS appears high up in the search results. The company is one of the leading fabric partners in Germany and Austria. From the very first conversation, I felt very comfortable with them, both professionally and personally. In addition, the ORAYLIS consultants were the best prepared of all the candidates. That made the decision easy. Together with my team leader at the time, René Kutz, we then made a pitch to the management and got the final go-ahead for the project.”
Strategy workshop defines the approach
The collaboration began with a special strategy workshop, the Fabric Adoption Planning Series. Here, the goals, the technical solution, and the implementation plan were defined jointly. The participants also put exemplary use cases to the test, which were to be implemented as a first breakthrough during platform development. This way, the solution can generate the first business value right from the start.
The development process itself was extremely straightforward thanks to the all-in-one approach: “Working closely with the group IT department, we only had to make a few basic settings and within a few minutes we had rolled out the basic platform, from data integration and consolidation to data analysis. Fabric clearly delivers what it promises,“ explains André Nünninghof, project manager at ORAYLIS. ”We were then able to connect the desired sources directly and run initial evaluations in Power BI. The tool is an integral part of Fabric and will replace Qlik Sense as the company-wide analysis interface in the future. We are currently seeing this kind of switch from classic BI tools to Fabric and Power BI very frequently.”
The Fabric platform also includes OneLake, a highly scalable data lake. This is where data is collected and made available in an open format for cross-system analysis. The necessary governance and security measures can also be managed centrally. There have been no significant hurdles in applying the new technology: “Fabric is now running very stably,” says André Nünninghoff. “Due to its high complexity, not all functions are fully mature yet. But when the need arose, we always found good solutions without incurring any technical debt.”
Use cases with business value
The first of the selected use cases is a standard application. “We transferred our proven reports from Qlik Sense to Power BI, putting them on a solid foundation,” explains Lena Gädke. “As a result, we can offer our users not only better evaluation functions, but also optimal performance and data quality at all times, as our various sources are now systematically merged and processed.” With the introduction of Power BI, the company-wide database is available to every employee. At the same time, data products such as reports can be integrated into Dynamics and made available to the entire company. This saves the company license costs, as all the necessary resources can be scaled in small increments. From an F64 capacity onwards, the costs for report consumers are completely eliminated.
The second use case, on the other hand, shows where starpool is headed in the future. For the first time, a business process that was originally manual has been successfully automated. “Our customers are primarily financial advisors, whom we support with tools such as our Europace comparison platform and direct consulting services. Newcomers receive special assistance. For example, our key account managers contact them directly after their first sale to offer further support.
Previously, they had to actively check the BI tool and manually record the status. This process is now fully automated in Dynamics. The key account manager receives a notification from the system and can then contact the customer immediately.
Digitalization is being driven forward
With the Fabric platform behind it, starpool’s digitalization initiative is now being driven forward in various areas. “The first step is to connect more and more data sources in order to end the parallel operation of Qlik Sense and Fabric as quickly as possible,” says Lena Gädke. “We are also already working on a follow-up project with ORAYLIS, in which we are integrating additional data products relating to our partners’ activities and transactions into Dynamics. In the future, we also plan to support our partners with data-driven services.”
Otherwise, the players are currently focusing primarily on organizational issues. After all, 132 potential internal users need to be empowered to work with data on a daily basis. A training concept for Power BI is currently being developed. New reports are now being developed hand in hand with users. The goal is to increase data literacy throughout starpool and to install a data ambassador in each team. This person will then be the first point of contact for data issues and will clarify concerns in direct exchange with the data team.
One thing is certain: starpool will continue on its path to becoming a data-driven company together with ORAYLIS. “The collaboration is going very well. We have an honest, almost friendly relationship. I can ask any question without hesitation. Even short-term changes are handled in a very pragmatic and solution-oriented manner. This is how I imagine a successful collaboration between equals. It’s just a lot of fun.”
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Putzmeister: On the way to the digital construction site
Rüdiger Felleisen
Global Business Strategist Digitalisierung & IIoT, Putzmeister GmbH
ORAYLIS is a real stroke of luck for the realignment of our data world. We hit it off right away, and I immediately felt that they understood what we needed. The ORAYLIS consultants are not afraid to touch on sensitive issues and voice necessary criticism. That hurts at first, but in the end it helped us tremendously. The team went the extra mile as a matter of course. They always gave 120 percent. I really appreciated that.
In addition, ORAYLIS is one of the few Microsoft Managed Partners in Germany, which meant we were able to benefit from extensive funding throughout the entire project.
At a glance
Client: Putzmeister GmbH
Industry: Construction industry
Project objective: Development of a cloud platform for processing real-time data and developing digital services
Technologies: Databricks, Azure Event Hub, Azure Data Lake
In the concrete and mortar industry, the Putzmeister brand is the benchmark. It goes without saying that the pumps and conveyor systems from the global market leader based in Aichtal, Baden-Württemberg, are used on every major construction site – including prestigious projects such as the Fehmarn Belt Tunnel, the Lisbon Metro, and the gigantic Burj Khalifa in Dubai.
Putzmeister machines impress with their sophisticated technology, ongoing developments, and high durability. But quality alone is no longer enough to keep customers happy these days. After all, digitalization has not stopped at the construction industry: “Everywhere, there is a growing demand for data that can be used to bring more efficiency to complex construction processes,” explains Rüdiger Felleisen, Global Business Strategist Digitalization & IIoT. “AI services and automation based on real-time data are particularly in high demand due to the shortage of skilled workers.”
In order to meet demand, those responsible for data strategy need to make significant changes. The starting point is a modern cloud platform that centrally consolidates the machine data generated in many locations and makes it available for the respective area of application.
Earning money with machine data
“Basically, the growing demand for data-based insights and services suits us very well,” says Rüdiger Felleisen. “Because let’s be honest – high-quality products always have the disadvantage for manufacturers that they are replaced less often. Our machines sometimes last for decades. At some point, there are natural limits to growth.”
Against this backdrop, digital services serve to raise the company’s profile in relation to its competitors. On the other hand, they can also develop into a tangible revenue factor and enable completely new business models. The key to this is always high-quality data that flows reliably and at high performance to its destination – an issue that Putzmeister had to address first and foremost. “Until now, we have collected our data in many isolated silos and processed it using a very heterogeneous system landscape. So the conditions were not ideal. There was also a lack of a structured approach to the development of specific data products. We had a lot of work ahead of us that we couldn’t do on our own.”
As a result, those responsible sought support from the data experts at Microsoft. Together, the players held the first rounds of consultations. One of Microsoft’s most important partners in Germany, ORAYLIS GmbH from Düsseldorf-Meerbusch, was ultimately recommended for the rest of the project.
Strategic advice on getting started
“ORAYLIS is a real stroke of luck for us,” says Rüdiger Felleisen. “Even during the pitch, I felt that they understood my needs best. We spoke the same language and got along great right away. What’s more, the company is one of the few Microsoft Managed Partners in Germany, which meant we were able to benefit from extensive funding throughout the entire project.”
The official start of the collaboration was marked by a Data Strategy Assessment (DSA). With the overarching vision of a digitally controlled construction site in mind, a suitable technical solution was defined and the next steps were planned. In addition, the participants prioritized initial use cases based on costs and benefits in order to gradually approach the overall objective. From Rüdiger Felleisen’s point of view, the effort was worth it: “I found the DSA perfect in every respect. What we have achieved for this amount of money and in such a short time is remarkable.”
Data platform for real-time processing
The most important change in Putzmeister’s data strategy is that data silos are being broken down and made accessible centrally on a single platform. For future plans, it is particularly important that real-time data from the machines can be processed efficiently. The technological foundation has been built accordingly: “At Putzmeister, we rely on a special combination of Databricks and proven Azure services,” explains Benjamin Laerbusch, technical project manager at ORAYLIS. “Experience shows that this is the most economical and powerful approach in such complex projects.”
Another important aspect for getting started with digital construction site management is the scalability of the data platform: “We started with an initial, still fairly manageable use case. After that, the platform will be expanded step by step with additional areas of application until we can finally map complete construction site processes and support them with data. That’s why our solution has a modular structure that can be expanded according to the building block principle. New requirements, machine types, and data sources can be seamlessly integrated at any time.”
Controlling construction sites with data
The first specific use case involves an ISO-certified interface that allows processing companies to import the enriched data from their pump systems directly into an industry-standard scheduling tool. “Customers receive detailed information, for example, on the position, operating hours, and delivery rates of the machines, enabling them to better plan and coordinate processes on the construction site,” explains Benjamin Laerbusch.
This enables significantly more efficient and sustainable fleet management. Operating times, utilization, and maintenance intervals can be comprehensively optimized. In addition, predictive scenarios help to avoid malfunctions and downtime. Last but not least, companies can use the data provided to develop their own applications, analyses, or dashboards. Intelligent Dispatching is currently undergoing intensive practical testing and refinement in collaboration with selected customers.
From manufacturer to digital service provider
Those responsible have now created the ideal starting point for the further development and expansion of digital construction site management. Putzmeister has a future-proof data architecture and can gradually expand its offering for customers, partners, and third-party providers on the basis of the first open interface.
Data-supported additional services in particular offer new business prospects: “Against the backdrop of market developments, we are increasingly striving for a business model in the direction of ‘Concrete as a Service’,” says Rüdiger Felleisen. “This means that we are not selling the value of the machine, but rather the digital services that surround it, such as real-time monitoring, predictive maintenance, or particularly in-depth data and insights. Billing is then based on operating hours.”
Rüdiger Felleisen also attributes the successes achieved so far to the collaboration with the ORAYLIS team: “The ORAYLIS consultants never shied away from touching on sensitive issues and voicing necessary criticism. That hurt at first, but ultimately helped us enormously. The team went the extra mile as a matter of course. They always gave 120 percent. I really appreciated that.”
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Blum Group: Effective organizational structures for successful digitalization
Alicia Manglano
Lead Business Analytics Strategy, Blum Group
It was a great advantage for us to receive technical and organizational consulting from a single source during our digital realignment. The collaboration with ORAYLIS worked really well. With the standards and structures we developed together, we were able to massively accelerate company-wide data analysis. Our users are very satisfied with the results. Today, they get what they really need much faster.
At a glance
Client: Julius Blum Group
Industry: Manufacturing industry
Project objective: Establishment of a cloud platform and development of organizational structures
Technologies: Databricks, Azure Data Lake, Azure Data Factory, Azure Storage Account, Power BI
Anyone who owns IKEA furniture is also familiar with the products of the Blum Group. Now in its third generation, the family-owned company from Vorarlberg, Austria, produces high-quality hinge, flap, and box systems. Today, the Swedish furniture giant is one of its largest customers.
Blum is one of the world’s leading manufacturers of furniture fittings. To manage its global business, the company increasingly relies on data-driven decisions. But until recently, neither the technologies nor the organizational structures kept pace with its rapid growth.
“We were struggling with a growing backlog of requests from the specialist departments in our central IT department,” explains Alicia Manglano, Lead Business Analytics Strategy. “At the same time, management wanted key performance indicators for corporate management. So we had to act urgently.”
Realignment with decentralized structures
The large-scale digitalization initiative focused not only on technology but also on the organization of data analysis.
“Our challenges were not only technical in nature,” says Alicia Manglano. “Many were related to processes and the distribution of responsibilities. It makes no sense for business users to go through IT every time they need something new.”
One of the core objectives was therefore decentralization: specialist departments should be able to design reports and dashboards independently and take more responsibility for their data.
To achieve this, Blum brought in external support. ORAYLIS GmbH, already selected to build the new data platform, was also tasked with helping set up the necessary organizational structures.
“This was a recommendation from our neighbors at ALPLA,” recalls Alicia Manglano. “ORAYLIS had been very successful in helping them revamp their company-wide data analysis. It was a great advantage for us to receive all consulting services for our transformation from a single source.”
Data mesh as an organizational concept
The collaboration began with a Data Strategy Assessment (DSA), covering both technological and organizational aspects.
On the technology side, the result was a cloud platform in Microsoft Azure, designed as a hybrid data mesh. This supports controlled decentralization: individual analysis teams – primarily specialist departments – access the same consolidated data set. Created reports, tables, and models are published as data products on a shared platform.
Meanwhile, the organizational stream addressed processes, roles, and responsibilities.
“These principles are essential in a data mesh,” stresses Simon Esser, project manager and strategy expert at ORAYLIS. “Without clear standards, there’s a risk of everyone doing their own thing – at the expense of data quality. That would jeopardize the entire project.”
The starting point for the further work of the organizational project was two exemplary use cases that were intended to reflect the two typical characteristics of the desired mesh construct: a more user-oriented “standard analytics product” in the form of order-to-cash reporting, and a complex case for visualizing quality data, which served as an example of “advanced analytics products.”
Processes and roles for different data products
“Blum’s standard and advanced products differ greatly,” explains Simon Esser. “That’s why we defined separate lifecycles for each. From initial data research to the finished product, we mapped out all tasks, assigned them to roles, and defined the required skills and responsibilities.”
With this foundation, the organization team set up specific work packages and began step-by-step implementation. The close cooperation between organizational and technical teams, supported by ORAYLIS, created a stable foundation for becoming a data-driven company.
Departments are very satisfied
“The collaboration with ORAYLIS worked really well. Our processes have accelerated massively,” says Alicia Manglano. “Thanks to the roles we defined together, each department now has its own data product team that independently creates dashboards and is the first point of contact for user concerns. If IT support is needed, our new template ensures fast, efficient processing. Our users are very satisfied – today, they get what they need much faster.”
Employees now also have direct access to the company’s central database. Relevant data can be used in daily work without relying on IT. As a result, the data mesh construct is growing dynamically, with more and more departments acting as independent analysis teams.
Blum is already planning further development:
“We are currently working on a certification to ensure the quality of our data products,” says Alicia Manglano. “We also plan to introduce monitoring to track their costs. Once these steps are complete, we will be ready to roll out the concept globally across our subsidiaries.”
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Andreas Weilguny
Senior Business Analyst, ALPLA Group
For me, good platform service is like electricity from a power outlet—it’s always available, and you don’t even notice it. Applied to our daily business, this means that errors are fixed before users or I even notice them. The ORAYLIS team gives me a great deal of peace of mind and security in this regard. We have noticeably fewer service tickets. This gives me more time to focus on my core tasks and drive improvements together with the specialist departments – always with the certainty that everything is running reliably in the background.
At a glance
Client: ALPLA Group, Austria
Industry: Manufacturing industry
Project objective: Ongoing operational services for the global data platform and support for further development
Technologies: Databricks, Azure Data Lake, Azure Data Factory, Azure DevOps
Some companies launch new data solutions and only then realize that operating them involves a multitude of ongoing tasks. Not so for the ALPLA Group from Hard, Austria. The leading packaging manufacturer planned its global data platform—known as AlplaMART—based on the latest findings in a Data Strategy Assessment (DSA) and implemented it using modern technologies from the Azure Cloud. The future operating services were also outlined in detail in advance.
The reasons are obvious to Andreas Weilguny, Senior Business Analyst and Operations Manager at ALPLA: “We have to ensure the best possible operational reliability, otherwise there is no point in even starting such a comprehensive platform project. Nobody wants to work with a solution that is unreliable and provides incomplete figures.
First the service plan, then the development work
AlplaMART brings with it many new challenges. That is why those responsible for the ongoing platform services rely on external support. The data experts at ORAYLIS GmbH have been involved in shaping this large-scale digitization project from the very beginning: “Our partner not only implemented the technical solution, but also provided important strategic and organizational impetus. The ORAYLIS operations team was already on board in the initial DSA and drew our attention to many relevant issues. It quickly became clear that we would tackle the further operation of the solution together.”
As a result, a detailed service plan containing all important processes, measures, and roles was already in place before the platform development began. At the same time, the effort and costs involved became transparent. Andreas Weilguny sums up what he considers to be good platform services: “For me, it’s like electricity from a power outlet—it’s always available, and you don’t even notice it. Applied to our daily business, this means that errors are fixed before users or I even notice them. The ORAYLIS team gives me a great deal of peace of mind and security in this regard.”
Measures for optimum operational safety
How are the services related to the platform organized? What components are needed to ensure optimal operational reliability? “A core element of our services is ongoing monitoring, which covers all processes related to data extraction, loading, and transformation,” explains Recep Gümüs, operations expert at ORAYLIS. “For company-wide production reporting alone, we process data from more than 190 plants worldwide.”
Monitoring is visualized via customer-specific reports and dashboards. In the event of irregularities—such as when loading processes are interrupted or delayed—the operations team has set up automatic alerts. This allows many problems to be resolved before they reach the operational level. If this is not possible, there are clear procedures in place: “We inform the BI team, who then communicate with the relevant departments. At the same time, we start troubleshooting. Everything is geared toward finding a solution as quickly as possible and maintaining transparency for all involved.”
Service Desk for user inquiries
Another component of the operating concept is a service desk that specialist departments can contact with technical questions and problems. The initial point of contact and interface here are the business analysts from ALPLA’s BI team. More complex development issues in particular are immediately forwarded to the ORAYLIS operations team.
“We then take care of the users’ concerns and stay on the ball until the case is resolved,” explains Recep Gümüs. “With a multi-level ticket system, we maintain an overview and enable fast processing. At the same time, we can also guarantee full transparency about the current status.”
Ongoing improvement through regular exchange
Every quarter, the team of ALPLA and ORAYLIS employees reviews the ongoing processes and measures in a service management meeting. During these meetings, open issues are addressed, potential areas for optimization are explored, and new and further developments are discussed. “I always look forward to these meetings,” says Andreas Weilguny. “We talk openly about everything and always find good solutions. Afterwards, I always feel that we have made progress. Our regular exchange contributes to the continuous improvement of AlplaMART.”
The success of the collaboration is reflected in concrete results: “I am receiving noticeably fewer tickets – a clear sign that our joint service system is working and that we are proactively solving more and more problems. This gives me more time to focus on my core tasks and drive improvements together with the specialist departments. Ultimately, the ORAYLIS team gives me the reassuring certainty that everything is running reliably in the background.”
turn your data into value.
At a glance
Client: ALPLA Group, Austria
Industry: Manufacturing industry
Project objective: Ongoing operational services for the global data platform and support for further development
Technologies: Databricks, Azure Data Lake, Azure Data Factory, Azure DevOps
turn your data into value
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Heiko Bornemann
Head of IT Infrastructure, Basalt AG
We are truly impressed with how quickly we were able to achieve the desired results within our joint Fabric PoC. In the end, the results in fact exceeded our expectations. Thanks to our new data platform, we are now perfectly prepared to gradually guide our company towards Industry 4.0. With their extensive data expertise, our consultants from ORAYLIS were the missing piece of the puzzle for us to successfully implement a project of this kind.
At a glance
Client: Basalt AG
Industry: Building Industry
Project objective: Implementing a cloud platform with Microsoft Fabric for the business use of IoT data
Technologies: Microsoft Fabric
Basalt AG’s products are quite literally fundamental to our society’s mobility. A significant share of the asphalt on German roads originates from the company’s quarries and production sites. The same applies to the track ballast that provides the basis for our railroads. Basalt covers the entire supply chain from raw material extraction to provision at the point of use, as well as recycling and disposal.
A considerable share of the asphalt laid in Germany originates from Basalt plants. (Basalt AG)
As a result, sustainability-related topics play a major role at Basalt. At the same time, they are also posing the greatest challenge: It is not only about meeting the continually growing demands of the government and the public. Sustainability is in fact a key factor in production within the natural stone sector and is therefore one of the most important business objectives. Improvements in this area always can potentially create a competitive edge for the company in economic terms as well. However, how do we manage to further promote sustainable actions in this day and age?
Those in charge at Basalt already have the answer to that question: “We simply have to make use of the wide range of data resources available to us across the entire supply chain,” says Heiko Bornemann, Head of IT infrastructure. “Currently, this treasure trove of data is scattered across almost 300 locations in Germany, buried within various systems and data silos.” This is why the company has decided to launch a large-scale digitalization initiative aiming at centralized data that can be made available for various types of application scenarios across the company.
Digitalization = Industry 4.0
At Basalt AG, digitalization means a commitment to the implementation of Industry 4.0 and its very foundation, the Internet of Things (IoT). This is because, until now, the extensive data streams from large stone crushers, for example data on capacity utilization and productivity, have not yet generated any business value. Heiko Bornemann explains: “In the future, we want to combine the sensor data from all plants in an Operational Data Management System and then link it to the rest of our company data. Of course, the data should then be made available for business applications in real time if possible.”
The extensive data streams at the Basalt quarries have not yet generated any business value until now. (Basalt AG)
Basalt is not only hoping for better decision-making and a number of new insights. The company also intends to use the Operational Data Management System to further interconnect people and machines as well as to digitalize and automate processes. Heiko Bornemann underscores that Basalt is not only focused on sustainability targets: “We are also facing site-specific challenges such as the generational change and a shortage of skilled labor. We consider automated processes to be a lever, helping us to break down knowledge silos and to deploy our valuable staff in a more efficient manner.”
With these requirements in mind, Basalt started its search for a suitable data technology and the right partner to implement it. One thing was unnegotiable from the beginning: It has to be a Microsoft solution because the existing systems are already running in the Azure Cloud.
Microsoft Fabric is the base technology
During their research, the team repeatedly came across Fabric – Microsoft’s brand-new technology approach that allows a complete data platform to be rolled out and ready to use at the touch of a button. “We had already attended a presentation in Munich,“ says Heiko Bornemann. “To us, it sounded like the ideal concept, since we are hoping for a high degree of autonomy and would like to do as many things ourselves as possible.” After an individual presentation by Microsoft, Basalt opted to trial Microsoft Fabric within a sponsored Proof of Concept (POC), as, although the technology is currently celebrating its first notable practical successes in many areas, it has so far only had limited opportunities to prove itself in Industry 4.0 scenarios.
When it came to choosing the ideal partner, ORAYLIS GmbH was able to impress Basalt by focusing on the essentials: “We had conversations with several service providers. Ultimately, to me, the decisive factor was the fact that the ORAYLIS consultants quickly grasped our use case and shared tangible ideas, instead of jumping straight to huge digital twin concepts. Additionally, ORAYLIS boasts proven Fabric expertise. Thanks to its early involvement in introducing and promoting the technology, Microsoft recently selected ORAYLIS as one of its few “Fabric Featured Partners” in Germany.
Real-time sources can be integrated smoothly
The basic objective of the PoC was to link plant data with standard business data for the first time and to visualize the results on a dashboard in near real time. This meant bringing together all key interest groups involved in company-wide digitalization. In addition to representatives from IT infrastructure, these included the “Central Technology” department, which is responsible for machine systems, and the “Industry Solutions” department, which is in charge of operational systems.
Fabric expert Dirk Ohligschläger was part of the project as solution architect. (ORAYLIS GmbH)
Dirk Ohligschläger, Senior Solution Architect at ORAYLIS, describes the next steps as follows: “We first set up our central platform using Fabric, which was very easy. It actually only takes a few steps to set up the entire architecture, including data integration, processing and the respective analysis tools.” Afterwards, the platform was linked to the four pilot plants. “The bridge between stone crusher and platform serves as an edge device. It receives the data streams from the plant sensors and feeds them directly into our cloud database. And just like that, we were able to see the first real numbers in Power BI after just a short time. The integration process was completely trouble-free.”
Our Fabric expert has only reported a few minor hitches along the way to the first real-time results at Basalt: “At one point, we exceeded our capacity limits, which led to Reporting being down for a few hours. However, that was simply a matter of configuration. Moving forward, we’ll know better. In my opinion, Fabric has clearly passed our IoT test.”
Expectations were in fact exceeded
Heiko Bornemann, too, is highly pleased with the PoC’s progress: “We are truly impressed with how quickly we were able to achieve the desired results. In the end, our expectations were in fact exceeded. It doesn’t stop with feeding data from the stone crusher to the dashboard via the cloud; ORAYLIS has already integrated filters for specific sites and set up a dashboard for individual figures.” At the same time, another business case was implemented; an energy monitoring system which critically analyzes the plants’ energy consumption. This system will also be a fixed part of the Operational Data Management System.
According to Heiko Bornemann, the teamwork between Basalt and ORAYLIS was one of the project’s main success factors: “It was a perfect match, especially since we lack the necessary expertise in data processing and the linking of new sources. The consultants at ORAYLIS don’t keep their expertise to themselves. The whole team has benefited from them sharing their knowledge. This is why it is safe to say that ORAYLIS was the missing piece of the puzzle for us to successfully implement a project of this kind.”
Driving digitalization with purpose
At the same time, the work of the dream team has already generated appetite for more among the company: “Our colleagues, especially those working on the Operational Data Management System, were already showing great enthusiasm before the PoC had even ended. They were keen to immediately get started on validating even more data and introducing further requirements. This was of course highly motivating for us. However, we have to make sure to not get carried away too quickly, because we are not working with a live system yet.”
To Heiko Bornemann, that means to pause for a moment and take stock: “I believe that by introducing the Fabric platform, we laid the ideal foundation for gradually digitalizing our company. We see huge potential, especially in terms of Predictive Maintenance and Alerting. We will analyze the PoC’s results precisely and then structurally integrate further data and approach new use cases. The course of action is now clearly defined.”
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igus enhances customer experience through automation
Vladimir Komarov
Leader Delivery Excellence, igus GmbH
When I saw the results of our auto-scheduling, I was very pleased. It’s exactly what we needed. We now have a fully automated process chain based on high-quality data and validated logic and rules. The time savings are clearly noticeable. At the same time, we can now provide our customers with the planning reliability they need faster and more accurately than ever before. Our collaboration with ORAYLIS is opening up entirely new perspectives for us.
At a glance
Customer: igus GmbH
Industry: Manufacturing
Project goal: Development of a process mining solution for the systematic optimization and integration of the company-wide process landscape
Keeping customers fully informed at all times is a key success factor for Cologne-based igus GmbH as well. The manufacturer of complex injection-molded components operates its own Delivery Excellence unit, which checks the status of all orders every day and proactively keeps customers updated on delivery dates and other key information. With more than 1,100 ongoing orders in the pipeline at any given time, this is a considerable effort — which is why the continuous improvement of the underlying processes is also one of the core tasks of the Delivery Excellence team.
Automated workflows inside the igus factory — getting products to customers as quickly as possible. (igus)
“We’re like process truffle pigs — always sniffing around for optimization potential,” jokes Vladimir Komarov. For him, automation is top priority:
“It’s the manual steps that have been slowing our workflows down. A lot of valuable work time is wasted there. That’s why we’ve long been using process mining to identify and close — or automate — our process gaps. But we were never really satisfied with the visualizations alone.”
Relief came in the form of a Celonis platform developed in collaboration with ORAYLIS. It not only enables effective visualization and optimization of every process step that relates to customer communication — it also lays the foundation for systematically evaluating and improving igus’ entire process landscape.
Eliminating Knowledge Monopolies and Wasted Labor
It’s no surprise that customer communication became the first lighthouse project. Determining the current status of all active orders required extensive manual work:
“First, we had to painstakingly extract huge volumes of data into Excel,” explains Komarov.
“A colleague with the required expertise would then validate the results and upload them to the ERP system across multiple steps and files. Finally, each customer was individually informed via email.”
The manufacturing processes of igus products are complex and offer a wide range of optimization potential.
This process not only wasted valuable time — it also carried the risk of human error, which is always difficult to justify to customers. Additionally, the team was dependent on knowledge monopolies:
“Order scheduling relied on just a few people with highly specialized knowledge. Whenever someone went on vacation or fell sick, things were never completely smooth.”
Optimization and Automation — Directly at the Core
The weaknesses in the customer communication process were obvious. These “low-hanging fruits” could be tackled quickly with the new Celonis platform.
“Instead of first visualizing processes and then optimizing them, we directly automated the critical process steps,” explains Sarina Sommer, Process Mining Expert at ORAYLIS.
“Celonis uses dedicated business logic to automatically generate fixed delivery dates for all orders. This has already significantly reduced manual effort and increased value. Manual scheduling is increasingly being replaced by what igus calls auto-scheduling.”
The Delivery Excellence team can now — alongside their daily work — continuously monitor and refine these automated flows using the platform. The overarching goal: a fully optimized process that requires no manual intervention at all.
The Celonis solution relies on consolidated process and status data provided by igus’ enterprise Data Lakehouse. Auto-scheduling is not a standalone tool — it is fully integrated into igus’ cloud-based data infrastructure.
“All required data is extracted from the relevant source systems, centrally stored, and prepared. From there, the platform can generate a real-world process view — with all variants — at the push of a button. Weaknesses can be identified based on facts and resolved effectively. Changes are then written back into the system. This creates a continuous loop of data-driven process optimization.”
Results That Impress
“When I saw the results of our auto-scheduling, I was very satisfied,” confirms Vladimir Komarov. “It’s exactly what we needed. We now have a fully automated process chain based on high-quality data and validated logic and rules. The time savings are clear. And we can now give our customers faster and more accurate planning certainty than ever before. Our collaboration with ORAYLIS has opened up completely new perspectives.”
But this is only the beginning. Auto-scheduling is just one part of a company-wide initiative to systematically optimize all processes — from order entry to shipping. The goal is for every igus employee to be trained and empowered to continuously improve or automate their own process environment. With the Celonis platform, igus now has the perfect technological foundation to achieve this.
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Reliable and fast delivery is our most important success factor. That’s why we are striving for company-wide connectivity between machines and people via the Internet of Things. Together with ORAYLIS, we have created the perfect foundation for this ambitious goal. The first concrete use cases built on our new data platform are very promising — and now we’re ready to truly accelerate. We look forward to continuing to rely on ORAYLIS’ professional and technical expertise.
At a glance
Customer: igus GmbH
Industry: Manufacturing
Project goal: Development of a cloud platform for full connectivity between people and machines as part of an Industry 4.0 scenario
Technologies: Azure IoT Hub, Databricks, Azure Data Lake, Azure Storage Account, Power BI
As an established manufacturer in the injection molding industry, Cologne-based igus GmbH faces the typical challenges of our time: both energy and labor costs are high compared to international standards. At the same time, stricter sustainability requirements are being imposed by policymakers and customers alike. As a result, optimization is needed across all areas in order to maintain a leading position in global competition.
The goal is a fully networked production environment leveraging IoT technologies. (igus)
“We’re under immense pressure to be productive in every respect,” says Stefan Fertmann, Head of Inhouse Automation. “There are countless starting points for improvement, as our manufacturing processes are complex and energy-intensive. We see tremendous untapped potential particularly in process monitoring.”
From Data Foundation to IoT-Driven Automation
To unlock this potential, igus is fully committing to the Industry 4.0 vision:
“We developed a staged roadmap — from building a stable data foundation to complete interconnection of machines and people via the Internet of Things.”
Together with ORAYLIS, igus began executing this ‘Industry 4.0 Masterplan’, and even the first concrete use cases have already delivered remarkable improvements.
Cloud Platform as the Foundation
Stefan Fertmann, Head of Inhouse Automation at igus. (igus)
“We’ve had great experiences with ORAYLIS on several Power BI projects,” explains Stefan Fertmann. “They’ve also successfully delivered similar large-scale initiatives in the past — that convinced us.”
The first stage of the roadmap involved designing and implementing a modern data platform on Microsoft Azure, bringing together all company data centrally — with a special focus on real-time processing.
“Ultimately, IoT simply means connecting live data from a wide range of sources and making it available for various business use cases,” says Christoph Epping, IoT Expert at ORAYLIS.
“At igus, this currently includes production metrics and status messages transmitted directly from machine control systems in real time. Additionally, new sensors are now measuring things like temperature, humidity, and energy consumption. These will be integrated into productive processes next.”
Even with the existing data, the team was quickly able to digitize processes and introduce meaningful improvements.
Real-Time Data Instead of Paper Notes
Until now, shift managers had to walk through 20 to 30 machines daily to check performance and status. Values were recorded manually and later entered into the system — a process that took around 45 minutes per shift in three-shift operation.
The new reporting system now delivers all relevant metrics within seconds.
Christoph Epping, Senior Consultant and IoT expert at ORAYLIS GmbH. (ORAYLIS)
“It’s all about machine output — in units or meters,” explains Epping.
“We take the real-time control data and enrich it with master data from the platform — like location, machine number, and type. This enables deeper analysis by shift, hourly production rates, or weekly distribution. Shift managers can now instantly see throughput, downtimes and disruptions — and we’re already working on implementing automated alerts.”
In addition, a live shop-floor dashboard displays the status of all machines via a traffic-light system, visible to everyone on site.
Looking ahead, the system will be expanded with profitability metrics, and the team is planning predictive maintenance to reduce resource usage, energy consumption and labor effort.
Building an Intelligent, Company-Wide Process Landscape
With the new data platform in place, igus is now systematically reviewing and digitalizing more and more business processes — always keeping the ultimate Industry 4.0 goal in mind:
“The idea is to interlink and digitally control sequential process steps that are technically and functionally related,” says Fertmann.
“What currently works as isolated solutions will gradually become part of a company-wide Internet of Things. This will help us eliminate human error wherever possible.”Future IoT technologies will also support sustainable resource management. (igus)
A clear example comes from production:
“Plastic components for our energy chains are manufactured in a complex process using injection molding machines, then transferred to assembly systems. Networking these steps — with full transparency — allows for precise coordination, optimal utilization and minimal scrap.”
Next on the agenda are use cases beyond production:
“In facility management, we want better insight into energy, air pressure and temperature. Compressed air in particular is a major cost factor — with great savings potential.”
A Flexible Path into the Digital Future
The data platform built with ORAYLIS remains the central launchpad for all further initiatives.
“Thanks to the cloud approach, we’re virtually unlimited,” summarizes Fertmann.
“We can take our digitalization journey one step at a time — always staying agile and ready to pursue new ideas. I’m genuinely excited for the continued collaboration with ORAYLIS and everything that lies ahead.”
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ALPLA – How a global corporation renewed its reporting with a data strategy
Matthäus Greber-Schaffgotsch
Head of IT BI & AI CoE, ALPLA GmbH
We are completely overhauling our global reporting, both technologically and organizationally. In a major project like this, you simply need a long-term partner who thinks strategically and whose judgment you can trust. We have now been working with ORAYLIS for three years and are more than satisfied with the results. We are looking forward to continuing this path of success together.
At a glance
Customer: ALPLA Group, Austria
Industry: Manufacturing
Project goal: Technological and organizational redevelopment of global reporting
Technologies: Databricks, Azure Data Lake, Azure Data Factory, Azure Storage Account, Azure Purview, Power BI
The Austrian ALPLA Group has an impressive company history: Over three generations, the family business has grown from an ambitious two-person operation into a global player in the packaging industry, generating nearly five billion euros annually with more than 23,000 employees. While ALPLA is still managed from the quaint town of Hard on Lake Constance, production is spread across almost 200 locations in 47 countries, offering a range of packaging systems, bottles, closures, and injection-molded parts.
As a result, the company also faces the challenges of operating worldwide. To remain competitive, consumption must be reduced and resources conserved. All production and logistics processes must be interconnected and continuously reviewed. The executives need to maintain an overview of all foreign plants using solid data from the headquarters in Hard.
Watch the full success story in the video:
Demand for Data Analysis Rises Sharply
A high-performance and high-quality reporting system is therefore essential for ALPLA’s success, as Matthäus Greber-Schaffgotsch, Head of IT, BI & AI CoE, confirms: “Our reporting is the virtual lubricant in our business processes. Wherever data is generated, we can enable faster and better decisions. More and more colleagues are discovering this. In recent years, requests from departments have increased massively. And, of course, data and insights should flow in real time wherever possible.”
In fact, demand eventually became so high that both the company’s own data center and the requirement processes reached their capacity limits. “It became increasingly difficult for us to implement new topics for the departments with our old SQL-based data warehouse. At the same time, more and more changes and queries were piling up. And everything was only rudimentarily documented. Further investments simply wouldn’t have made sense.” Consequently, ALPLA decided on a complete fresh start with a modern data platform in the Azure Cloud.
Target Vision: Self-Service, Centrally Managed
Matthäus Greber-Schaffgotsch and his team already had clear objectives for the future solution: “We wanted to unify our reports and key figures across all source systems to provide a much higher level of quality and speed in gaining insights. It was particularly important for us to make working with data much simpler, enabling employees to conduct independent analyses.”
The goal was a “managed self-service” approach, where data ownership remains centralized within the BI team. “The creation of reports should largely be handed over to the departments. Meanwhile, we provide the consolidated datasets and act primarily as advisors.”
For ALPLA, this restructuring meant not only building an appropriate technological foundation in the cloud but also rethinking organizational structures around data usage. With these specifications in mind, the company began searching for a suitable partner to plan and implement the ambitious project.
Data Strategy Assessment Provides Technological Foundation
Finding the right partner was more complex than initially expected: “Especially the high-performance consolidation and provision of our globally distributed data was a major challenge for the candidates,” explains Matthäus Greber-Schaffgotsch. “We also made a team size of 100+ consultants a basic requirement because it was clear we would need to scale repeatedly during the project.”
The decisive recommendation came from Microsoft. ORAYLIS GmbH, an experienced German service provider that had already successfully guided various large companies into the digital future, was brought on board. The project started with a so-called Data Strategy Assessment, which brought the different stakeholders together: “The BI team led the process, but representatives from the business were also involved, each bringing a specific case,” explains Tobias Jasinski, Senior Project Manager at ORAYLIS.
Senior Project Manager Tobias Jasinski, ORAYLIS
“Together, we defined ALPLA’s strategic goals and the specific requirements for a solution. Based on these insights, a modern cloud data architecture was designed, tailored to the company’s needs. The focus was on flexibility, scalability, and easy integration of new data sources. The results were compiled into a strategy document for management, which also transparently outlined costs.”
“Better Together” – Data Platform with Special Features
The new ALPLA platform consolidates all globally distributed data sources in a central location. Essentially, it is a modern data lakehouse built on a proven combination of Azure services, including Data Factory and Storage Account. A key element is Databricks for data processing: “As practice shows, the combination of Microsoft and Databricks is the most economical and powerful way to unlock business data,” says Tobias Jasinski. “We now refer to this as the ‘better-together principle.’”
A strong team: ALPLA and ORAYLIS employees during a plant visit in Fussach. (ORAYLIS)
Additionally, a special automation framework programmed by ORAYLIS is used. It simplifies development and enables central processing of all global data flows with only a 30-minute latency. It also ensures reliable description and provision of multilingual key figures. Power BI is integrated into every employee’s workspace, and its Excel-like interface makes it easy for users to start working with data. Extensive training is only needed in individual cases.
Financial Reporting as a Lighthouse Project
During the Data Strategy Assessment, a business case from the finance department—a cash flow reporting system covering all subsidiaries and the headquarters—was implemented. The technical breakthrough impressed everyone: “In addition to internal data, external sources such as oil prices and exchange rates are also included,” says Andreas Weilguny, Business Analyst in Matthäus Greber-Schaffgotsch’s team. “Users can drill down to individual bookings and reliably forecast future scenarios. For example, it’s possible to simulate almost in real time how changes in oil prices would affect the company.”
Andreas Weilguny is also impressed by the system’s user-friendliness: “What previously had to be compiled manually from various Excel sheets is now available in seconds with Power BI. We save a huge amount of time and simultaneously provide more solid decision-making foundations.”
Developing the Organizational Target Picture
After initial successes, the team focused on building the organizational structure around the new cloud platform. In a series of workshops, a data governance framework was developed with ORAYLIS experts to enable efficient company-wide work with data and guide future platform expansions. The managed self-service approach set the direction.
Sebastian Leyens (l.) and Simon Esser have now taken over leadership of the ALPLA project on behalf of ORAYLIS.
“It’s essentially a framework to implement the company’s data strategy and evolve it into a managed self-service approach,” explains ORAYLIS Project Manager Tobias Jasinski. “In the workshops, responsibilities for governance and individual data sets were defined. Roles were clarified, and all data-driven processes—including their management, monitoring, and execution—were established. The necessary technologies were also selected.”
Data governance ensures that comprehensively available data can only be accessed and modified by authorized personnel. Guidelines were formulated in accordance with legal data protection regulations and internal compliance and are binding for both roles and processes.
Expanding the Data Offering
With company governance and a future-proof technological foundation, ALPLA can now drive its “digital growth” purposefully. Tobias Jasinski emphasizes that these successes result from careful planning and leadership: “ALPLA basically did everything right, including having a decision-making Product Owner fully responsible for the topic and empowered by management. This made the project a success.”
ALPLA employees inspecting a freshly produced bottle
Production is now fully connected to the new data platform. (ALPLA)
In addition to finance, the sales department now has fully modernized reporting, providing employees with detailed insights into customer behavior. All ALPLA plants worldwide are connected to the data platform. With the Operational Plant Manager Cockpit, plant managers can immediately gain an overview of production status. Incidents and quality issues are immediately visible and can be quickly addressed.
Executives in Hard also receive all relevant KPIs in a clear format, allowing one person to manage multiple sites factually and securely—even for short-term decisions. A real-time cockpit for production staff is planned to further optimize resources and workforce management.
More Opportunities for More Employees
Matthäus Greber-Schaffgotsch is very satisfied with the current state of the digitalization initiative. He is particularly pleased that the backlog of reporting requests is a thing of the past: “With clear responsibilities, roles, and processes, we have created a transparent, future-proof structure. We have reduced incidents and improved responsiveness. Thanks to proper documentation, we can also provide departments with transparency at any time.”
Another key benefit is that far more employees now develop and modify reports independently. Matthäus Greber-Schaffgotsch aims to expand this benefit through the cloud platform: “We envision a centrally aligned data mesh, turning our platform into a global data hub. For example, our U.S. locations can access all datasets while complying with data protection. Users can also create, manage, and share their own data products.”
This next project phase is again planned and implemented in cooperation with ORAYLIS: “We are completely overhauling our global reporting, both technologically and organizationally. In a major project like this, you simply need a long-term partner who thinks strategically and whose judgment you can trust. We have now been working with ORAYLIS for three years and are more than satisfied with the results. We are looking forward to continuing this path of success together.”
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MALZERS leads its bakery business into the digital future
Marc Sinner
Head of Financial Accounting, Controlling & Expansion, Malzers Backstube
MALZERS has been successfully working with ORAYLIS for many years. The migration of our proven BI system to the cloud and the implementation of production controlling have once again met our complete satisfaction. Our requirements were fully realized, which is no small feat in the complex bakery business. Whenever something didn’t go smoothly, we were able to discuss it constructively and always found a good solution. That’s why we look forward to continuing our journey into the digital future with ORAYLIS.
At a glance
Customer: MALZERS Backstube
Industry: Retail & Consumer Goods
Project goal: Development of a cloud platform including migration of existing reporting, creation of new production and support reports
Technologies: Databricks, Azure Data Lake, Power BI
For more than 120 years, customer proximity and high product quality have been the key to success for MALZERS Backstube. Today, the family-owned company from Gelsenkirchen offers freshly baked goods in nearly 150 branches. Customers can choose from a wide range of high-quality breads, rolls, cakes, pastries, and other products from morning until evening.
A key part of this exemplary service lies in the targeted use of data: “For several years, we have been managing our branch operations based on detailed receipt data analyses,” explains Marc Sinner. “Our forecasts for the following day have become increasingly accurate. We can also detect unexpected shortages or surpluses in real time and redistribute or replenish goods accordingly.”
Growing Data Volumes and New Challenges
The volume of data to be processed is steadily increasing, putting the existing server infrastructure under pressure. In addition, the company faces new challenges, including data-driven optimizations in response to rising energy and raw material costs, as well as expanding reporting from sales to include production.
A rethink of the data strategy was required, with the core question initially being: should we invest in new servers or take the step into the cloud?
Own Servers vs. Migration to the Cloud
“We debated long and hard whether to invest in our own data center or move to the cloud,” says Marc Sinner. “Our business runs over the counter and is fairly predictable, so the benefits of cloud scalability are not as immediate as they would be for a pure online shop.” In fact, a cloud platform alone would not have added real value for existing reporting. On the contrary, tried-and-tested KPIs and reports from the past seven years would first need to be rebuilt in the cloud.
The decision to move to the cloud was also influenced by personnel changes: “Our production manager retired after 30 years with the company, taking with him a wealth of process know-how. We decided to distribute responsibilities across different shoulders. A new reporting system providing department heads with the necessary transparency for production management and personnel oversight became the basis, making the move to the cloud worthwhile.”
New Solution with a Trusted Partner
For planning and implementation, MALZERS brought in trusted experts. The data specialists from ORAYLIS had already built the existing BI system based on Microsoft SQL Server and continuously developed it with the bakery. They were therefore familiar with the starting point and could provide targeted advice. “We began with a strategy workshop to design the technological framework for a centralized cloud platform tailored to our needs,” says Raphael Bruns, Project Manager at ORAYLIS. “We defined which KPIs, reports, and data sources would be consolidated and developed a roadmap to gradually migrate the existing system to the cloud.”
Raphael Bruns, Senior Project Manager at ORAYLIS
The new data solution was consequently implemented in the Azure Cloud. “Remaining fully within the Microsoft ecosystem made things much easier. Combined with the ORAYLIS Automation Framework, we ensured efficient, cost-effective development and flawless results.” Agile methods supported the process, allowing for quick adjustments when needed.
One example is the mid-project switch from Azure Synapse Analytics as the core processing component: “We found that Synapse costs were getting out of hand. Databricks provided an immediate alternative that met MALZERS’ requirements within budget.” Otherwise, the solution follows Microsoft platform best practices, with an Azure Data Lake storing mass data and Power BI providing company-wide access to familiar data analysis interfaces.
Reporting Compensates for Knowledge Loss
The centralized cloud platform also enabled production controlling, developed in cooperation with ORAYLIS, covering all four production areas. “All department heads now automatically receive the relevant KPIs based on the previous day’s data,” explains Marc Sinner. “These include fulfillment rates, quality and breakage rates, remaining dough, and personnel KPIs—data we used to painstakingly gather from multiple systems.”
Department heads can quickly and comprehensively assess their areas, empowering them to act independently and efficiently manage both production and staff. Detailed data allows for deeper analyses and actionable insights.
For example, the fulfillment rate compares the demand from sales with the produced quantity. This KPI can be broken down to individual items, pinpointing causes for underperformance, such as excessive waste, which can then be addressed with targeted measures.
Not only department heads benefit: management also uses the KPIs for fact-based decisions previously in the domain of the former plant manager. Marc Sinner explains: “Production figures are now part of our daily quality meetings, guiding next steps. Every day, we can eliminate previous errors and continuously improve.”
Entering the Digital Future with the Cloud
Further optimizations are achieved through reporting for support departments, including logistics, fleet management, cleaning, and the company workshop. Product availability has also improved: “Especially before holidays, this is critical,” says Marc Sinner. “District managers can now quickly access additional cloud resources via a ‘Fast Lane’ to check stock availability across their stores instantly—a huge time saver compared to calling each store individually.”
The new platform also opens up numerous future possibilities. “Next, we will focus on sustainability, bringing transparency to raw material usage. Until now, we only had total figures. In the future, we want to assign them to individual departments to identify optimization potential. Reporting will also be expanded to include procurement this year.”
Marc Sinner is clear that MALZERS will continue its digital journey with ORAYLIS: “We have been working successfully together for many years. I am fully satisfied with this project as well. Our requirements were fully implemented, which is not easy in the complex bakery business. Whenever something didn’t go smoothly, we discussed it constructively and always found a good solution. We look forward to continuing our digital future together with ORAYLIS.”
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Marbach Group: Secure corporate management in fast-moving markets
Dennis Benz
Head of Finance & Controlling, Marbach Group
We place great value on a partner who guides us rather than merely implementing our requests without question. This works extremely well with ORAYLIS. The collaboration on the development of our new sales reporting has always been constructive and goal-oriented.
We had full transparency at all times and quickly and efficiently achieved the desired results. That’s why we will continue our journey toward becoming a data-driven company together with our partner.
At a glance
Customer: Marbach Group
Industry: Manufacturing
Project goal: Centralization of all data on a cloud platform, modernization of reporting, future real-time analysis of production data
Technologies: Azure Synapse Analytics, Azure Data Lake, Power BI
For the Marbach Group from Heilbronn, 2023 is a special year: the family-owned company celebrates its 100th anniversary. What started as a three-person operation founded by Karl Marbach Senior has grown into a market and innovation leader in the construction of tools and stamping dies for packaging. Today, approximately 1,600 employees work at more than 20 locations worldwide. Marbach tools shape a wide variety of product packaging in industries such as pharmaceuticals, cosmetics, and food. A new data platform and reporting solution have now laid the foundation for the company’s transformation into a data-driven organization.
Future-Proofing in a Fast-Moving Business
To continue Marbach’s impeccable success story, executives must navigate the company safely through an increasingly dynamic market environment. “Most of our customers rely on rapid assortment changes,” explains Dennis Benz. “Delivery times of three to four days are sometimes expected for a tool, and nearly every tool is custom-made. And the pace is accelerating further.” Consequently, Dennis Benz must respond to business questions as quickly as possible: “When I receive a call from sales colleagues or management, I need immediate, reliable figures. No one wants to wait for a callback.”
A Cognos data warehouse served the company well for more than ten years. “Our old BI system was already extensive for the company’s size and was well used by our employees. But we also had to think about the future. We wanted to leverage new possibilities in data visualization and mobile reporting, as well as cross-functional data models with new KPIs.” The switch to an IFS ERP system was the perfect opportunity to modernize reporting with Microsoft Power BI and advance the company’s digitalization.
Initial Setback
The first attempt with the new analysis and visualization tool failed. “It wasn’t Power BI itself—it was a technical setup issue,” says Dennis Benz. “We moved too quickly into in-house development and over-engineered the report layouts. The solution was slow, confusing, and unusable for end users.”
Microsoft recommended bringing ORAYLIS on board. The new partner impressed with methods that were new to Marbach: “As part of a Data Strategy Assessment, we created an initial dataset for sales and built a prototype in Power BI with prioritized dimensions and facts. I had never seen anything like this in previous data projects. At first I was skeptical, but the results quickly convinced me. Consistently linked dimensions and facts provided new insights immediately.”
Data Platform and Reporting Revamped
The first step was rebuilding the data foundation. Aligning with the ERP modernization, a cloud approach was chosen—a Data Lakehouse in Microsoft Azure. “We migrated all relevant data from Cognos to this platform and made it available,” explains Raphael Bruns, Project Manager at ORAYLIS. “This includes various sales data, revenue reports, contribution margins, sales volumes, and individual P&L entries—particularly valuable for month-end closing. The right solution architecture combined with highly scalable Azure services enables high-performance delivery for diverse reporting scenarios in Power BI.”
Raphael Bruns, Senior Project Manager bei ORAYLIS. (ORAYLIS GmbH)
Raphael Bruns, Senior Project Manager at ORAYLIS
Simultaneously, the team redesigned Marbach Group’s extensive reporting landscape, this time focusing on balance: “Based on past experiences, we had to find the optimal balance between familiar and new elements,” says Raphael Bruns. “We couldn’t overwhelm users, or we’d lose them. Together, we developed a modern reporting concept aligned with current information design standards.”
Reporting with Multiple Benefits
The new reporting quickly regained user trust, offering clarity and ease of use: “Visualizations provide high value to our users,” emphasizes Dennis Benz. “Many employees can now perform independent analyses for the first time. We can delve deeper into the data and derive meaningful business insights. Previously, KPIs could only be analyzed individually; now, we have a fully linked data model connecting multiple dimensions.”
For Dennis Benz and his department, user independence is key. “I have only three controllers for the entire company. So, alongside high system performance, it’s crucial that users can work with the data independently within defined standards, without coming to us for every question. This allows a small team to manage all tasks effectively.”
The informational content of reports has also increased, integrating new KPIs. For example, end-of-month order backlogs are now immediately visible, enabling proper revenue allocation. Previously, special analyses and IT intervention were needed. Sales can now also see order statuses directly, instantly identifying late deliveries, eliminating the need for previous labor-intensive reports.
Well-Prepared for the Digital Future
The new sales reporting is just the beginning. The cloud platform allows diverse data to be leveraged for business purposes. “We have a full agenda,” confirms Dennis Benz. “Finance reporting has been successfully implemented. Next is HR reporting, followed by production. This will be particularly exciting, with huge data volumes containing extensive optimization potential. Customers will benefit directly through improved transparency of order status and faster delivery times.”
That these plans will be realized with ORAYLIS is unquestioned: “We value a partner who guides us rather than just executing our requests blindly. ORAYLIS does this extremely well. From conception to implementation, the collaboration is always constructive and goal-oriented. We have full transparency at all times and achieve the desired results quickly and efficiently. That’s why we will continue our journey to becoming a data-driven company together with our partner.”
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DEHN strengthens customer relationships through data
Tim Koesler
Data Engineer, DEHN SE
We were aware that many business potentials still lay dormant in our data. Together with ORAYLIS, we moved to the cloud and gradually migrated our existing data solution into a Modern Data Warehouse.
Even today, we see improvements in process and data quality and are already faster and more efficient in implementing data-driven requirements. In the medium term, we aim to implement real-time monitoring of our machine data to continuously optimize production processes and capacity planning.
At a glance
Customer: DEHN SE
Industry: Manufacturing
Project goal: Centralization of all data on a cloud platform, company-wide reporting, real-time analysis of machine data
Technologies: Azure Synapse Analytics, Azure Data Lake, Power BI, Theobald XTract Universal
DEHN SE is a textbook example of a hidden champion—family-owned since 1910, operating in a niche market, highly specialized, and solution-oriented. The company’s products are used worldwide in sectors such as plant and telecommunications engineering, process industries, and photovoltaic and wind power systems. With solutions for lightning, surge, and occupational safety, more than 2,300 DEHN employees globally ensure the protection of people, buildings, equipment, and systems of all kinds.
The DEHN headquarters in Neumarkt in der Oberpfalz. (DEHN)
Customer and Market Orientation as a Foundation for Success
The company’s lasting success is built on a strong customer and market focus, which is now being further enhanced through targeted data use. “We knew there were still many business potentials in our data,” says Tim Koesler. “However, there was no central point in the company to correlate the various sources. We used multiple solutions to analyze our data, but unified, cross-departmental KPIs with future-ready analytics are crucial for corporate management—and ultimately for customer satisfaction.”
Consequently, management decided to build an entirely new data platform. Moving to the cloud was a logical step: “High scalability and easy connection of new data sources were important. We wanted not only a foundation for unified, high-performance reporting across all subsidiaries but also the potential to implement AI and real-time analytics use cases in the future.”
Data Strategy Assessment as Project Kickoff
The first task was to find a partner with sufficient expertise to define a functioning cloud architecture from scratch. “There was an almost endless task list that needed to be converted into a goal-oriented approach,” explains Tim Koesler. After evaluating various providers, ORAYLIS was selected, with a Data Strategy Assessment providing the foundation for the right data strategy.
The first step was a kick-off meeting, followed by strategy development. Based on DEHN’s requirements, the target architecture was defined, technical challenges and potential use cases were clarified, and a concrete cost and resource estimate for the technical infrastructure and reporting was prepared. “I can only recommend this approach to any company with similar projects,” says Tim Koesler.
Modern Data Warehouse as Technological Foundation
The target architecture is a Modern Data Warehouse (MDWH) in the Microsoft Azure Cloud, aligning with DEHN’s existing Microsoft-based systems. “The existing components can be easily migrated into our proven cloud architecture,” explains Martin van Husen, Senior Consultant and Technical Project Manager at ORAYLIS. “The core element is Azure Synapse Analytics, which handles data integration, data warehousing, and big data analytics. On this foundation, we can tailor the new solution to DEHN’s needs and scale it flexibly.”
Martin van Husen guided the project from a technical perspective. (ORAYLIS)
Future scalability is a major advantage. The MDWH can be easily extended with additional Azure Cloud services as new business requirements arise. New data sources can also be integrated seamlessly. Standard connectors are available for third-party technologies such as SAP databases. “Consequently, the effort for deployment is minimal. Only the migration of data load processes requires significant work; everything else runs mostly automatically.”
The MDWH concept also introduces significant changes for the frontend. The old QlikView landscape is largely replaced by Power BI as the modern standard tool for data analysis. The goal is to expand user access, allowing as many employees as possible to work with data. Power BI integrates directly with the familiar Office 365 interface, enabling employees to quickly gain a comprehensive view of data and analyses worldwide. Every department at DEHN benefits from this, as do customers.
Data-Driven Decisions Across the Organization
The company-wide analytics platform has had a positive impact on business operations. It provides a reliable, integrated data foundation that enables DEHN to make data-driven decisions at all levels and in all areas, strengthening customer relationships. “Even now, we are faster and more efficient in implementing data-driven requirements. In the medium term, DEHN aims to implement real-time monitoring of machine data to continuously optimize production processes and capacity planning,” concludes Tim Koesler.
We would like to give you the best possible advice and respond to your enquiry, so we would appreciate some initial information. We look forward to getting in touch with you!
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