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It includes predictive and prescriptiveanalytics and is used to gain insight into data and plan for the future using sophisticated features like key influencer analytics, sentiment analysis, embedded business intelligence, assisted predictivemodeling, anomaly alerts, natural language processing (NLP) for simple search analytics and other features.
Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptiveanalytics for business forecasting and optimization, respectively. How do predictive and prescriptiveanalytics fit into this statistical framework?
Gartner defines a citizen data scientist as, ‘ a person who creates or generates models that leverage predictive or prescriptiveanalytics, but whose primary job function is outside of the field of statistics and analytics.’ So, let’s get started. What is a Cititzen Data Scientist? Who is a Citizen Data Scientist?
Return on Investment Now we bring it all together to calculate the ROI on embedded analytics. Costs: The investment in developing and maintaining the solution. “-1”: The formula assures that a positive ROI is achieved only when benefits exceed the costs. Benefits: The combination of strategic benefits (e.g., cost reduction).
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