Self-service BI is understood to mean the users’ ability to perform data analyses independently and to create their own reports. Based on the principle of “helping people to help themselves”, our self-service BI solutions are designed to allow users to perform data analyses independently.
The objective of self-service BI is to build and expand the competence of users in the area of data analysis and to provide the appropriate tools. As a result, users can independently gain essential insights from company data and make objective, data-based decisions based on these findings.
Self-service BI thus also has the effect of shifting the creation of reports and dashboards away from IT and towards the respective business departments. This leads to a reduction in the workload for IT developers since it is no longer necessary to prepare all analysis options statically. The focus can instead be placed on defining and maintaining a consistent data set including pre-calculated key figures and variable combinations of different data sources.
Users can then conveniently navigate this data set via various access options. Easy access to practical data promotes the data orientation of employees in the long term. Compared to slow analysis options in Excel or ERP systems, Microsoft Power BI & Co allow a substantially improved user experience through their technical possibilities. The powerful systems use in-memory technology which enables real interaction with the data sets through very short reaction times. With just a few clicks, users can select the desired data by using filters and analyze it individually.
According to the requirements of the target group, data access to key financial figures, sales performances and market shares can also be mobile. Depending on access authorization, the data is then made available at any time with the push of a button on smartphone, tablet and laptop for management, sales and marketing. With end device-optimized visualizations, mobile interactive analyses are also possible for more intelligent, data-based decisions.