What is Self-Service Analytics?
Self-service analytics is a specific type of business intelligence (BI) in which business professionals have the responsibility to perform queries, analyze data, and generate reports, without the need for a technical set of skills. The advantage of self-service analytics is that analysis of data is no longer the responsibility of a dedicated data, reporting, and analytics team; but a shared responsibility of all business users.
A self-service analytics platform is a tool that enables this shared responsibility: it is a simple-to-use BI platform that allows its users to analyze the data within the underlying data model. It goes further than simply visualizing data for dashboarding or reporting. It distinguishes itself in that it enables the end-user to drill-down and find relevant insights. Often this comes with some more advanced capabilities (and programming languages) to manipulate existing metrics and dimensions and to perform custom calculations.
Because a self-service analytics platform has a lot of overlap with other tools, it’s not easy to always draw the line. A self-service analytics platform usually contains a multitude of these features: storing data, modeling data, filtering data, visualizing data, collaboration and sharing, etc. Some tools are simply run from a browser, while others are mostly used from within a dedicated desktop application.
List of Self-Service Analytics Tools
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