A Guide to Self-Service Analytics: Break Down Barriers Between Data and Decisions
Associated with
Mark Simborg Mark Simborg
Jessica Schimm Jessica Schimm
10 min read
A Guide to Self-Service Analytics: Break Down Barriers Between Data and Decisions

Self-service analytics gives business leaders in sales, marketing, customer support, and product the data they need to make impactful decisions and hit their key metrics. At companies that don't have good self-service analytics practices, data teams shoulder the burden. Weighed down by a backlog of requests for analysis, reporting, and dashboards, analysts can't build a data-driven culture or compete with teams using modern BI solutions to offer self-serve internal tools.

In this article, we'll discuss the importance of self-service analytics, some obstacles to implementing them, and how to scale it in a way that drives value for everyone.

We'll cover:

What is self-service analytics?
Why do I need self-service analytics?
How to set up self-serve business intelligence
How does self-service analytics benefit my business?
3 Things your self-service analytics tool must do
Mode: Enable self-serve analytics at scale

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