InetSoft BI Information: Self-service Business Intelligence Tips
Like some other business intelligence software providers, we preach the benefits of self-service BI and point to unique capabilities of our software such as end-user defined data mashup for its self-service benefits. However, unleashing self-service BI does need to be done carefully. Here are five tips to a successful self-service BI deployment.
In many cases, enterprises end up with a handful of power users or BI analysts who use advanced BI tools to generate hundreds, if not thousands of new reports and dashboards, many of which can conflict with each other or at least confuse new viewers of them. Quickly a repository of unorganized information can be overwhelming for casual users. Either they spend too much time trying to find the right report or are not sure if they can trust or understand the ones they find.
Then as irony for self-service BI, some may give up and ask IT for help to generate a new custom report. Of course this just adds to the report backlog that self-service BI was supposed to reduce. Other pitfalls include when power users use the self-service tools to perform heavy queries on data warehouses or operational databases, which they then export to Excel for analysis. Potentially runaway queries can erode query performance significantly, turning off casual business users from using the BI platform.
So despite the promise, if left unplanned, self-service BI can sabotage a successful BI deployment by cutting mass user adoption, failing to reduce report backlogs, impairing query performance, and increasing confusion over the "single truth.". To prevent this from happening, here are five tips to implement self-service BI wisely: