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Citizen Data Scientists Are Key. So Is the Solution They Use.

Smarten

World-renowned technology analysis firm Gartner defines the role this way, ‘A citizen data scientist is a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics. ‘If

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Seven Steps to Success for Predictive Analytics in Financial Services

Birst BI

With the source data now fully integrated into an analytic model, add and test different predictive algorithms. Once an accurate predictor of future behavior is identified, integrate the scoring measures directly into the data model. Open source technologies such R and Python can be used to develop predictive scoring algorithms.

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Getting Started With People Analytics

Sisense

This can be useful in describing your past recruiting and retention efforts or measuring their efficacy, but it stops just short of helping you plan your future actions. Strategic analytics. Predictive analytics are the next step in your HR analytics journey. Validate these with your stakeholders to get their buy-in.

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What Is Data Intelligence?

Alation

Augmented Analytics. DI empowers analysts to apply augmented analytics to applications, supporting predictive and prescriptive analytics use cases. Next, you test these use cases with the software chosen. Why does the business want to leverage data intelligence? Field Test Use Cases.