What Is Self-Service Analytics?

Rohit ShahFebruary 5, 2021

As we roll into 2021, one can’t help but wonder what trends in data & analytics will emerge in the new year. One that I keep hearing is self-service. What is self-service analytics you ask? The simplest definition is that self-service analytics allows users the ability to develop rapid reports and insights to empower users to analyze their data on their own. Most businesses and users have access to self-service tools, which provide users to build or modify reports without tying up IT resources, giving users the ability to control their data and analytics needs.

Is Self-Service Analytics the New Normal?

Self-service has emerged as more organizations are becoming data-driven and leaders wanting the right data to be available to them when and how they want it. This has caused a dramatic shift in access to data that addresses all of their questions. Coupled with budget shifts, lack of resources, and new technologies, I can almost assure you that self-service is here to stay.

Self-service will continue to play an essential role in the general data and analytics industry and most data visualization and BI tool have begun initiating self-service capabilities. IT teams can now focus less on report creation, and more time on data privacy, governance, and security initiatives.

Implementing Self-Service in Your Business

While implementing self-service analytics at an enterprise scale, you can struggle to develop the right skills, choose the right platforms, or align the leadership team to democratize self-service analytics. With limited resources, low adoption rates, and uninspiring user feedback self-service journeys can be over before they even begin. Instead, look to put together a comprehensive strategy to roll out your self-service programs.

Having partnered with many global clients on highly successful self-service initiatives, we strongly believe there is a need for a shift in the way self-service is approached. If the correct processes and skills (people) aren’t in place, even the best platforms (systems) can’t help provide timely business insights. The true value of a self-serve capability isn’t in the tool itself, but the ecosystem that supports and drives it.

Five Questions to Ask in Your Self-Service Analytics Journey

InfoCepts is a global leader of end-to-end data and analytics solutions with nearly 20 years’ experience enabling customers to derive value from a variety of data-driven capabilities. We bring people, processes, and technologies together to deliver predictable self-service outcomes with guaranteed ROI.

Before you embark on your self-service journey, start with the right understanding of the basics. Our recent ebook, A Practical Guide to Implementing Self-Service Analytics, captures our learnings and provides you with a refreshing perspective to help make your self-service programs successful. It asks five key questions you need to answer and principles you need to follow for a successful rollout of self-service analytics at an enterprise scale.