Data and Analytics

Huge amounts of data accumulate in nearly all areas. More and more companies want to do more than just collect this data and prepare it for reporting; they want to extract added value from it through advanced analytics. This includes the acquisition of helpful knowledge about market conditions, the promotion of cross/up-selling, or forecasting and decision-making based on this data. Our aim is to generate a competitive advantage for you from your collected data.

This is why we stand behind our mission statement ‘Data is our DnA’, the driver of all our projects each and every day. The topic of data and analytics is of particular relevance to many companies. However, many of them lack the right strategy and required expertise to make the collected data usable.

We assist our customers in both of these areas using our own methods and highly developed expertise in a wide range of technologies. We design efficient data and analytics processes and support you as independent consultants with our own methods and highly developed technological expertise.

In modern data and analytics projects, the requirements for communication with the respective departments are precisely determined, the data platform is integrated and provided, and the data volumes are analysed and evaluated. In this way, we guarantee you detailed insights into the data and enable future forecasts.

The use of AI methods is an important foundation for these kinds of forecasts. And our wide range of data and analytics services covers a combination of business engineering and the provision of data platforms – structured as a data warehouse or semi-structured as a data lake – and the related area of ‘data science’.

We are familiar with the technologies on the market and provide our customers with end-to-end support in data and analytics. We develop your DnA strategy together with our business engineers, who are specialised in specific industries. In doing so, CPM supports corporate planning and simulation. Our consultants have the required expertise, from sales planning and balance sheet management to commodity allocation.

In terms of data management and big data engineering, we construct large, modern data platforms, such as data warehouse, data lake or hybrid scenarios, and operationalise them with or for our customers. If the data is available, we use specific methods from the field of data science and advanced analytics to perform an AI-based evaluation. Our experts identify suitable use cases, develop them in the DataLab and operationalise them on the appropriate data platform.