Our consultants look at issues and challenges from a holistic data management perspective. Modern businesses often just take the IT perspective into account to resolve data issues, as this is what has worked in the past. However, if you approach issues in this short-sighted manner, they can grow so large, that your IT cannot resolve them on their own. Even though extra hardware can be introduced, this will just help in the short-term, while the underlying issues still remain. This is situation is what we have frequently experienced in modern companies.
Our focus lies on Data
Our focus lies on data and is open-ended by using our IT expertise in both software and hardware area. All effort can be pointless and ineffective, if the business requirements aren't taken into account. That is why we always pursue a holistic data management approach that takes Business into the equation right from the first day.
Our consultants offer end-to-end technology solutions with a profound understanding of Data, IT and Business.
We provide different model elements to help you fuel your business engine. These model element packages are based on the experience we have and are derived from different clients and challenges that we have faced in the past.
Analysis of the existing data processes, identification of valuable data information and assessment of the performance requirements in accordance to the existing data infrastructure from the inherent business model. Identification of the particular time-to-market requirements relevant for the customer.
Analysis of business models, transformation into data modelling and information acquisition with existing, newly planned and unknown or unfamiliar systems through integration planning
Acquisition of the existing data mapping
Reverse engineering of the mapping of company information in existing data storage/databases and various data acquisition processes by means of various calculation cores.
Data Modelling and Mapping
Mathematical / technical data modelling and mapping from existing business models.
This analysis is done to improve and accelerate the business decision-making processes with regard to the target and specified business process.
Data-driven information acquisition
Design, development and implementation of significant analyses for data-driven information acquisition to strengthen and accelerate individual business processes.
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