3 Factors to Consider When Evaluating Self-Service Analytics

In Part 1 of our Is Self-Service Analytics Sustainable? series, we discussed the various types of personas, their skillsets and needs for self-service analytic capabilities. In Part 2, we will discuss the value of self-service analytics and the importance of balance between exploration and operational efforts. 

A key consideration in understanding the value of self-service analytics hinges on the personas discussed in part 1, i.e. General Consumers, Data Analysts, Citizen Data Scientists and Data Scientists. Three of the personas have skillsets which enable them to work outside the boundaries of traditional BI tools. They all have a desire to explore data in ways which provide new insights to questions never asked before. Their skillsets differ, which limits their data reach. But does one persona provide more business benefit to an organization? And based on that, where should an organization focus their resources? 

To learn more, please go to the Teradata blog.