A reliable and clean database forms the basis for your strategic planning, control and sound business decisions. Relevant data for this can be found in different, sometimes very heterogeneous sources.  We analyse your data sources and source systems and ensure that all relevant data is efficiently and uniformly fed into your data warehouse in an always up-to-date form. We take into account process-leading and -supporting systems, databases, flat files and external data sources - both on premise and in the cloud. Hard work which we are happy to do because it is worth it for you. Because only if the database is complete and up-to-date you can build on it with confidence.

Independent of manufacturers and with lots of expertise and experience with various platforms and technologies, we select the optimal platforms and target architecture together. Tailored to the realisation of your goals and in tune with your IT strategy. Focusing on planned user application scenarios and your individual starting point, taking into account existing licensing agreements and the costs of various solutions, we design your data warehouse architecture and decide whether on premise or cloud solutions are the right ones for you. The design of your scalable platform and optimal target architecture is centred around maximum benefit and cost efficiency.

Business Analytics must be based on high data quality to analyse and be able to utilise this digital gold. This is why we optimise your master data and data quality, elevating data to a comparable level through harmonisation. This includes transactional business data, master data but also machine data if necessary. In addition to a formal check of the correctness of the data, a plausibility check is also carried out by means of rules, outlier detection, recognition and cleaning of duplicates - all as automated as possible. To ensure that you benefit from a consistently high data quality, we support you in preventing errors from occurring in the first place, e.g. by checking business rules, predefined selection values, etc. Because high data quality pays off for your business.