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

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eWeek: Why Self-Service Analytics Has Gone Backward–and What To Do About It. Sep 6, 2018. Forbes: How Existing BI And Data Discovery Tools Are Supercharged By Data-as-a-Service.. Dremio Launches Self-Service Data Analytics for Data Scientists. Jul 20, 2017.

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representing that we didn’t have the right toolset for them," he says. "We keep an eye out for how we can do a better job to make it easier for those departments." End-user service is what’s crucial here, he says-because without listening to the user, attempts at self-service analytics will not go well.

However, as more business teams move to self-service analytics, these groups are struggling with how to best leverage and scale this new capability — and to overcome new challenges that business teams have not faced in the past. To successfully make the transition to self-service analytics, we recommend adopting these five rules:

eWeek: Why Self-Service Analytics Has Gone Backward–and What To Do About It Kelly Stirman Sep 6, 2018 chris preimesberger from eWeek recently interviewed our CMO, Kelly Stirman, to understand why dependency of analysts on IT tools has increased so we can understand better how to use self-service analytics going forward.

Self-Service Analytics. Self-Service Analytics is a form of business intelligence ( BI) 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.

In the last five years, cloud computing has gone from emerging technology to quintessential. location security and layered security precautions, but that no self-service cloud provider can prevent.

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