Many tools promise to turn business users into data professionals, and many organizations pride themselves on being data-driven, but when you really take a look it's a less than perfect picture.
Check out Bill Saltmarsh’s recent blog post exploring the challenges with achieving self-service analytics, and proposing some solutions to get there. Bill works at Pluralsight, a leader in online training, and has a great perspective both from building data tools himself and bringing self-service tools into his organization.
You can read more about achieving self-service analytics by employing easy-to-use tools in the full article on Pluralsight.
Self-service analytics is an ideal that is widely shared and promoted in the modern workplace, especially for those organizations that pride themselves on being data-driven. Self-service analytics can be described as an environment where business users are enabled and encouraged to directly access data, in order to derive insight from business information as quickly and efficiently as possible.
However, the process to achieve true self-service is fraught with obstacles and unforeseen complexities. If I were to characterize the majority of these problems, then I’d say that we, as data professionals, are underestimating the level of difficulty in transforming a data-curious business user into someone who can competently access, analyze and consume that data.