It is becoming increasingly difficult for organizations to set themselves apart from the competition. To do so, they need to introduce more efficient and effective management systems in addition to keeping their fingers firmly on the pulse of the market.
The availability and evaluability of large data sets – externally and internally ¬– allow companies to obtain valuable insight, to identify trends, to discover new patterns and quickly to infer definite calls for action based on the information they obtain. This will require a completely different, non-central approach than IT managed business intelligence. The self-service BI and data discovery tools quickly and easily allow each area of the company to produce their own reports without having to consult the IT department.
Self-service BI and data discovery tools represent high-performance visual analytics solutions that enable their users to review, analyze and visualize their own data. And because these users are more familiar with the data than anyone else, the solutions described above will help them achieve the maximum benefits.
Although self-service BI and data discovery tools are extremely flexible, user friendly, intuitive to operate and interactive, it is nevertheless important to ensure that they are not used in an excessively independent setting. There may be contradictory or incorrect conclusions and decisions if a disproportionately large number of people work on data analysis within one organization. Collaborating with IT in respect to data governance and management remains an essential element within BI.