BI Trends

Fulfilling the Promise of Self-Service

By Charles Caldwell
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One thing that we hear consistently in our conversations with companies is that everyone, including both IT and business users, wants self-service analytics. Businesses are looking to become more data-driven, and users want to be able to analyze data without having to constantly rely on IT.

In fact, findings from our 2014 State of Self-Service Report, found 93% of business users want access to self-service tools – such as self-service BI dashboards. However, organizations face the challenge of trying to balance end users’ ever-changing analytics needs with IT governance.

Next week, Logi will be speaking at the Gartner BI and Analytics Summit in Las Vegas about this very topic. The session, titled “The Broken Promise of Self-Service,” will help attendees understand where their end users fall on the Continuum of Self-Service and provide actionable recommendations for delivering the right tools to match their needs. The session will take place at 3:00pm on Monday, March 30, at Caesar’s Palace in Octavius 7.

The continuum of self-service was developed with the understanding that both IT and the business are in charge of delivering these self-service tools – and you can’t just satisfy one or the other. Your users have unique needs and they fall into different personas across the continuum.

These personas include consumers who are just looking for static reports, creators who want to supplement existing dashboards and reports with their own metrics and measures, as well as analysts who want to discover their own insights through visual analytics.

So how can you best address these unique self-service needs? Throughout the Gartner BI conference, we’ll be sharing best practices and tips each day. You can also visit us at booth 419 to discuss your use case.


Originally published March 27, 2015; updated on July 23rd, 2018

About the Author

Charles Caldwell is the Vice President of Product Management at Logi Analytics. Charles came to Logi Analytics with a decade of experience in data warehousing and business intelligence (BI). He has built data warehouses and reporting systems for Fortune 500 organizations, and has also developed high-quality technical teams in the BI space throughout his career. He completed his MBA at George Washington with a focus on the decision sciences and has spoken at industry conferences on topics including advanced analytics and agile BI.