Self-service in connection with the choice of Business Intelligence technologies has been one of the primary business requirements that companies have focused on in recent years.
It makes good sense to ensure that there are opportunities for both standard reporting and independent analysis completion, but experience shows that the concept of “self-service” means very different things for different companies and users.
If a company is accustomed to basing its reporting on distributed PDF reports, then the ability to see the same data in a dynamic report with the option to apply filters, such as periods, countries, product categories, etc. will be perceived as “self-service” for some users. However, business analysts or Data Scientists, who are used to compiling data analyses in multiple configurations, will have far more advanced expectations of a self-service tool.
What is important, therefore, is delivering self-service at the right level for the different user profiles. Regardless of how advanced an organization requires self-service to be in their Business Intelligence solution, if the results of the self-service analyses are to be reliable, it is essential to have an understanding of the data and the logic necessary to conduct meaningful analyses. In this context, a sound Governance process ensures that everyone understands what the basis for an analysis has been.
You can learn more about Data Governance processes here under the “Governance” tab.