Considering data as an equal asset of a company and treating it accordingly is a competitive factor in the digitalised world. Data forms the basis for cost efficiency and growth through new or optimised business functions such as fraud detection, customer self-service, predictive maintenance, risk modelling, churn prediction and many other use cases. Data-driven companies have the necessary capabilities to use such functions economically. They fulfil the cultural, methodological, organisational and technological prerequisites to use data more diversely, intelligently and efficiently. In the past, companies from different industries have begun to build these capabilities. In the following, one aspect of this is presented, namely the systematic development of a corporate data platform.

Analytics Platform Framework
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Platform Strategy
The development of a company-wide data platform is not a purely technological project, but must also be considered from the perspectives of strategy, organisation and processes. This results in a high complexity of the overall project, which can be planned from two directions: Strategic and long-term development of a data platform (risk: ivory tower) or added value-focused development of autonomous use cases (risk: reinventing the wheel).

Data Engineering
From the technical description to valid source code - with data engineering, your data-driven services can be brought to life. Our certified architects and engineers implement multi- and hybrid cloud platforms of the most popular hyperscalers and know exactly for which functionalities the managed services should be used and when an in-house implementation brings advantages.

Big data architecture
The functional architecture is an important element for the implementation of the iterative strategy approach. The functional architecture contains functional components, it describes "what" a data platform should do. In contrast to the frequently encountered technology-oriented visualisations of data platforms, the stringent view offers the essential advantage that the evaluation and consideration of the data platform is made possible through different dimensions of observation. In this way, the functional architecture is used to analyse organisational, technological and process-related effects on a company and thus to provide targeted control and goal-oriented development in accordance with the company's capabilities.

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No one knows your current business model, the challenges, processes and also the potential better than you. In a joint interaction room:analytics with the business department, IT and management, we focus this knowledge and jointly model the functional view of your analytics platform.