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The reality is that data lakes are failing to support the time-to-market requirements new analytics-driven innovation requires, and it is safe to say that in many companies, data lakes are widely.
Employees can have a better understanding of what they need to do to contribute to the completion of the goal. Correct Bad Habits Early-On If you let mistakes go on without fixing. There may be.
Risks of self-service analytics. Every new concept has its own risks, and self-service analytics is not different. Let us try to analyze some of risk factors associated with it. Lack of proper training: To implement self-service, the first step is to select right set of people and train them rigorously on self-service BI tools. Lack of proper.
Self-service analytics has plenty of promise, but it has to be introduced with discipline. Success depends on a combination of people, processes and technology working together. The difference between realising the benefits of self-service analytics, and the drawbacks we mention is having a plan to invest in people.
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