What it means, why it matters, and best practices. This guide provides definitions and practical advice to help you understand and practice modern self-service business intelligence.
Self-service BI empowers business users to explore data and generate insights as well as to create dashboards or reports, without relying on IT, data scientists or analysts. The premise of self-service business intelligence is to give all employees access to insights that will help them make better decisions, regardless of analytics skills.
As the pace of business accelerates, business users need faster, easier access to data that will help them keep up with, and stay ahead of the changing landscape.
With traditional business intelligence, users who wanted data insights had to submit a request to IT, wait for their turn in the queue, and go back and forth answering clarifying questions — all before they could get answers. Because the process took so long, many times the insights came too late.
Plus, many people don’t use data when making business decisions because they feel like their skills are lacking. Relying solely on intuition results in errors and suboptimal decision making that businesses cannot afford in this day and age.
If organizations want to build a truly data-driven culture, they need to do a better job of streamlining access to data and making easy-to-use analytics applications readily available. Increasing employee data literacy through training and optimized business processes is just as critical.
See how to explore information and quickly gain insights.