Self-service analytics or self-service business intelligence refers to tools used to connect and analyze data, and which are operated primarily by business departments in the organization – rather than IT professionals or dedicated data analysts.
While in the past business analytics was viewed mainly as an IT project, today the focus has shifted more towards the business user (e.g., a marketing manager or sales director). Most of today’s leading business intelligence software vendors provide some sort of self-service reporting capabilities, but these often do not encompass the complete process of analyzing data but rather focus on a specific element, such as creating interactive dashboards.
To understand whether any specific piece of BI software can actually be considered as “self-service” for non-technical users, you need to ask questions such as:
- How easy will it be to connect to data? Is the functionality built-in to the product or will it have to be custom developed?
- How much scripting will be required when preparing the data for analysis? Do you need to have deep knowledge of SQL to do so?
- Will your business departments be self-sufficient, or will they constantly need to rely on the vendor’s professional services?
Check out the resources on this page to gain a better understanding of self-service business intelligence, and to learn how to compare and evaluate data analytics tools that are presented as self-service.
Self-Service BI Toolkit:
Is Your BI Solution Truly Self-Service?
The 9 most essential questions to ask in order to avoid poor technology decisionsGet the Guide
Business Intelligence Implementation Index
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See Self-Service Analytics in Action
Watch a quick demo to see how Sisense provides self-service analytics for business users working with complex data.Watch the Demo