Researchers estimate that approximately 2.5 quintillion bytes of data are generated on a daily basis. At this point in time, there is exponentially more data available to us than there are stars in the Milky Way Galaxy. Just as humankind stares into the vacuum of space with limited comprehension of the universe beyond our solar system, far too many organizations either don’t know where to begin in their endeavor to understand their data, or lack the tools they need to make the most effective use of it.
The role of BI is to bring massive quantities of data down to earth through the application of advanced learning algorithms that can parse through it and make sense of it. Business intelligence can thereby enrich the insights that organizations have at their disposal, and ultimately boost productivity for the lines of business by enabling smarter decisions. Ideally, BI for business users should be as simple as this – and it certainly can be – but not without the right self-service analytics tool.
How Self-Service BI Saves the Day
In the past few years, end users have begun demanding self-service capabilities, primarily in response to the many shortcomings of traditional analytics platforms. As a result, self-service BI solutions such as Orbit Analytics have helped to empower business users by distilling a once convoluted process into something streamlined.
This white paper provides an overview of BI technology and how it can be utilized productively across the lines of business.