Tag: Training for Citizen Data Scientist

Transform Business Users Into Citizen Data Scientists!

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January 20, 2022

Recognize and Address Recent Market Changes with Citizen Data Scientists!

While many of you may follow the research and market analytics provided by Gartner, you may sometimes find yourselves wondering if their predictions and market analysis are correct. When it comes to the predicted transformation of business users into Citizen Data Scientists, that particular transition has been happening for a while now. If anything, the global pandemic has simply made the prediction more pressing than ever.

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Answer Your Business User Concerns About Augmented Analytics!

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October 18, 2021

Users Might Think Augmented Analytics is Too Difficult. That’s Not True!

If you are a business manager who wants to enable a Citizen Data Scientist environment, but you find yourself up against resistance, it is often because your business users believe that advanced analytics is just too hard for them to learn and that the use of these types of techniques and systems will slow them down and confuse their otherwise familiar processes.

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How to Assure Citizen Data Scientist Success!

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October 11, 2021

Enterprise Culture Change Assures Success of Citizen Data Scientist Initiatives!

Many businesses have embraced the Gartner prediction that transforms business users into Citizen Data Scientists to help organizations democratize analytics with simple tools that will improve the quality and timeliness of decisions. You can read white papers, industry articles and other publications that will support and articulate this approach to business flexibility, agility and success. But, if you do not embrace the culture change required to deploy this strategy across your enterprise, your Citizen Data Scientist initiative will not succeed.

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What Are Simple Random Sampling and Stratified Random Sampling Analytical Techniques?

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October 18, 2018

This article discusses the analytical technique known as Sampling and provides a brief explanation of two types of sampling analysis, and how each of these methods is applied.

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