Self-service business intelligence needed

Today's companies are evolving in their use of business intelligence. Procedures that would have been sufficient even a few years ago are now antiquated as BI has become faster, increased its scope and begun to incorporate insights from every imaginable department. Staying with an analytics approach that hasn't seen recent updates may be a mild problem. Much more serious is the idea of not having any plans to use the technology at all. It's not too late for companies in either of these categories, but it may soon be. Now's the time to transition to new models and embrace best practices if leaders want to remain relevant.

New use cases demand self-service
The actual process of using BI software is one of the elements that has changed over the past few years. BeyeNetwork contributor Rathin Das recently suggested that companies need to move their analytics operations out of their silos in the IT department and put them in the hands of a specialized group of users who are dedicated to creating information-based insights. These are the data scientists, a group that has come into high demand since the rise of big data as a concept. Das explained that it's time to make sure workers in the business department are performing their own investigations.

The alternative to self-service analytics is a process of hand-offs and request tickets between sections, which may result in lost time and operational weakness. Das centered his point on the concept of flexibility and scalability. Analytics operations today are expanding and becoming more complex. Keeping these processes within the frameworks that have traditionally constrained them could prove problematic in the long run. Das explained that his ideal vision of a self-service model involves sandbox features, a less regimented way to deal with the data that has become a vital part of any modern business.

Experts or average workers
While it's an important step in the development of a BI plan to give strong access to a new group of highly trained users, there is another consideration at play. Namely, companies could gain even more functionality if they think of less experienced employees when expanding BI functionality. Moving information use out of the traditional silos of the IT department is a strong move, and it can become even more radical if simple features allow all types of business department workers to make their own analyses and present findings through resonant visualizations. This is the kind of functionality that Necto 14 can grant users.

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