Indústria: Consumer Products (food)
Categoria: Microsoft Azure OpenAI

Realization of a data intelligence platform

Data intelligence platform enables real-time analyses and automated reports, allowing production data to be evaluated more quickly and flexibly.

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Three Gerolsteiner bottles: natural, medium and sprudel

Why NTT DATA Business Solutions?

  • Great industry expertise
  • Global full-service IT provider
  • Trustworthy collaboration

Thanks to the data intelligence platform, we have already achieved significant improvements in controlling our production processes – with a clear focus on greater transparency, flexibility, and forward planning.

Helene Maselter, Head of Productivity and Process Management, Gerolsteiner Brunnen GmbH & Co. KG

About Gerolsteiner Brunnen GmbH & Co. KG

Industry: Consumer goods
Products: Mineral water and soft drinks
Number of employees: 861
Headquarters: Gerolstein, Germany
Website: www.gerolsteiner.de

Business need

  • The production plants’ process data is not collected adequately and cannot be analyzed with company data
  • No end-to-end, long-term data storage and archiving
  • Quality problems cannot be efficiently analyzed retroactively and no sustainable improvements can be derived
  • The potential of industry 4.0 and data analytics remains untapped

Solutions

  • To set up a data intelligence platform
  • Intelligent combination of Microsoft Azure, SAP, Databricks and the IoT framework CENTERSIGHT scale from Device Insight

Outcome

  • Comprehensive implementation of SAP processes and high quality software implemented
  • Seamless transition to live operation with deliverability from day 1
  • Creation of a global template for rollout in the corporate group
3.2 Million Bottles Annually – Real-Time Data Analysis for Optimized Production

Inadequate collection and analysis of process data makes production optimization difficult

The traditional company Gerolsteiner Brunnen GmbH & Co. KG has stood for mineral water of the highest quality since 1888 and is the German market leader. Its annual output is 3.2 million bottles. In addition to product innovation, Gerolsteiner is focusing on a digitalization strategy to improve the exchange of data between systems and plants. Various plants are used in production that provide valuable data, however this has not been collected and analyzed adequately so far. There was no integrated overview of process values, which made the analysis of quality problems and sustainable improvements difficult.

Real-time transparency throughout production

Gerolsteiner has set itself the goal of advancing its digital transformation and creating real-time transparency throughout production. A newly introduced data intelligence platform enables fast and flexible data analysis to optimize production processes across all production steps and data systems. The platform combines machine, plant, and business data to support data-driven use cases such as anticipative production planning, automated empties management, and efficient cleaning processes. This allows use cases to be implemented in the connected and data-driven factory. Gerolsteiner is relying on a “best-of-breed” architecture with Microsoft Azure, SAP, Databricks, and the IoT framework CENTERSIGHT scale from Device Insight in order to optimally utilize the systems’ technological strengths and to realize the platform cost-efficiently.

Market leader becomes a data-driven factory thanks to a data intelligence platform

The data intelligence platform make real-time analysis and automated reports possible, enabling production data to be analyzed more quickly and flexibly. This saves time and costs and allows for quick responses to market changes or production problems. With transparent data and well-founded analyses, Gerolsteiner can flexibly control and optimize production processes. Technical and procedural challenges are identified early, which enables the forward planning of production, storage and logistics. The platform can also be expanded to include further use cases and forms the basis for comprehensive data analytics, machine learning, and AI, making it a key element in Gerolsteiner’s digital transformation.

The first use cases were already realized as part of the proof of concept and could be implemented in no time at all. At the same time, the platform is flexible and expandable and thus forms the basis for us evolving into a data-driven factory.

Helene Maselter, Head of Productivity and Process Management, Gerolsteiner Brunnen GmbH & Co. KG

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