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

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

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Why Self-Service Analytics Has Gone Backward–and What To Do About It. Chris Preimesberger | September 06, 2018 Compared to where IT was a few years ago, effective and easy-to-navigate self.

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Self-Service Analytics: Convergence of Cloud, Big Data and IoT If you have happened to see the mad rush that IT departments of large data-driven cultures are, you’d know that Business Intelligence requires a fast-moving infrastructure in place that can procure data, process it and throw decision-making insights.

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Indeed, while 2018 saw a big jump in the number of companies adopting a Big Data-led strategy, there is still a long way to go: Dresner Advisory Services’ 2018 Big Data Analytics. users can learn.

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.

Self-service analytics is an application of business intelligence in which business professionals are encouraged to extract data, generate reports and run queries on their own. As the name suggests, self-service analytics is a simple-to-use BI tool that enables professionals to extract value out of the data with no IT support, using various.

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.

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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