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Why Self-Service Analytics Has Gone Backward–and What To Do About It

Self-Service Analytics is a form of business intelligence in which line-of-business professionals are enabled and encouraged to perform queries and generate reports on their own, with nominal IT support.Self-service analytics is often characterized by simple-to-use BI tools with basic analytic capabilities and an underlying data model that has been simplified or scaled down for ease of.

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The IT department may still have a role in configuring the system, but from then on, regular users can focus on insights from the data, not the technology. While many tools are described as Self-Service BI, they might not all be user-friendly. This blog post outlines ten reasons why you need a true SSBI solution, and what that solution should.

Self-service analytics. which is brought to our analytics niche by radical cost reduction of open source software and commodity-priced compute infrastructure. How can IT help its customers have.

JReport is a leader in self-service analytics for embedded use cases and helps fill the gap mentioned in the previous section. With JReport, application teams can deliver the much demanded self-service BI capabilities their users demand without having to sacrifice UI, UX, or branding.

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Now they do have an enterprise. but if you go to any data catalog company, you’re going to find many use cases. They are just sprinkled all over their websites. The first one is from Alation, and.

The industry has seen a surge of self-service analytics (SSA) tools such as Tableau and Qlik that enable analysts and non-technical business users to gain insights and drive data-focused initiatives. SSA and BI empowers knowledge workers and business users to gather desired insights without reliance on IT to run reports.

Since they had self-service BI tool at their disposal, Versatel didn’t have to spend as much money paying outside firms to do reports for them. The results? A return of their investment money and then 62% more, getting their money paid back in 1.9 years, and then reaping an average annual benefit of 454,075.

Organizations are embracing self-service analytics and business intelligence (BI) to bring these capabilities to business users of all levels. This trend is so pronounced that Gartner, Inc. predicts that by 2019, the analytics output of business users with self-service capabilities will surpass that of professional data scientists.

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