Business Intelligence (BI) applications are an integral part of corporate management. Rarely, however, are the requirements for a holistic BI strategy met. Analytics solutions are often based on requirements from different departments. These are taken up by your IT and built up along tactical decisions. Since this development is usually not coordinated, this leads to a confusing, heterogeneous and thus highly inefficient system and application landscape. As a result, the potential of analytics for decision support cannot be exploited in its entirety.
The variety of “isolated applications” also leads to losses in data quality, which in turn results in erroneous reports, inconsistent results and ultimately massive problems for BI acceptance. At the same time, however, the complexity of information and processes is increasing in many industries. Large international companies, as well as medium-sized enterprises, therefore need a functioning BI in order to remain controllable and competitive.
A BI strategy answers questions such as:
Which data should be used in the company for the various operational, tactical and strategic decisions as information for decision support?
Which reports and evaluations (standard reports, OLAP analyses, dashboards) are required and to what extent?
How often and at what times should this information be provided?
What does a suitable organizational set-up, tailored to your company, look like in order to optimally conceptualize, implement and operate BI?
How important is data quality for information recipients and how can trust in the data be ensured and maintained?
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