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Central data strategy as a business enabler

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The company
RheinEnergie
Technologies
Miro
The challenge
Development of a central data strategy with the involvement of decentralized stakeholders from the various divisions
Result
Development of a compact strategy paper that contains the logical structure of the data strategy including concrete action plans
On the one hand, we need to improve operational processes in our day-to-day business and, on the other, we need to start looking at use cases further into the future today.
Dr. Heiner Lütjen
Corporate and Strategy Developer / RheinEnergie

Initial situation

In order to maintain its own competitiveness in a volatile market environment, especially with regard to emerging technological innovations in connection with artificial intelligence, RheinEnergie strives for a very high speed in data-related work. RheinEnergie relies on external support to achieve rapid results and thus significantly increase its own speed of action. In order to jointly develop a structure or roadmap with corresponding fields of action, RheinEnergie is looking for a sparring partner in the development of a data strategy.

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How can data be used efficiently as a strategic resource?

How can decentralized data landscapes be developed into an integrated structure?

What framework conditions must the data strategy fulfill?

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Our detailed approach at RheinEnergie

Analysis phase to determine the status quo

In this phase, the current status of data practices at RheinEnergie is analyzed. This includes data maturity interviews to assess the level of maturity and a strategy assessment to align with the corporate strategy. Data-driven ideas and specific use cases are developed in the Data Thinking Workshop. The architecture assessment examines the existing IT and data architecture for its future viability.

Consolidation of identified and relevant findings

After analyzing the status quo, taod's strategy consultants pool all the findings and derive key, overarching conclusions. The results form the basis for clear objectives and prioritized fields of action. These include, for example, strengthening innovation management or establishing structured enablement structures. A common understanding of roles also improves cross-divisional collaboration within the company.

Agile development and iterative adjustments

We develop a roadmap with clearly defined areas of action and responsibilities. An open implementation approach is chosen in order to keep the degree of centralization flexible. Individual topics are initially piloted with selected market areas in a small group. This creates a blueprint that enables rapid progress without having to involve all 15 areas at the same time.

Result

From decentralized data landscapes to a centralized data strategy

As a result, RheinEnergie receives a compact strategy paper that reflects the logical structure of the data strategy, including concrete action plans from vision to implementation. The next steps planned together with RheinEnergie are illustrated with a concrete timeline. The new data strategy centralizes RheinEnergie's strategic plans, underpins existing data initiatives and opens up individualized opportunities for the departmental value creation of data.

13
In four structured data maturity interviews with managers, 13 central data challenges were analysed, including topics such as data quality, organizational structure and use of technology. The assessment followed the CMMI logic in order to identify data-related weaknesses and enable targeted maturity improvements.
4
The analysis and conception phase comprised four specific workshop formats (Data Maturity, Strategy Assessment, Data Thinking, Architecture Assessment) with a total of 26 participants from the areas of networks, B2B, B2C and energy services. This enabled a comprehensive view of data practices across all relevant business units.
1
The project team drew up a concrete roadmap with responsibilities that provides for both centralized initiatives and decentralized pilots in individual market areas. This agile implementation ensures high speed and scalability without having to involve all 15 divisions immediately.
3
Concrete project goals were achieved: establishing the status quo and maturity level, developing a strategy concept including a target image and a list of measures with a clear execution focus.

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