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Analytics acts as the source for data visualization and contributes to the health of any organization by identifying underlying models and patterns and predicting needs. Broadly, there are three types of analytics: descriptive , prescriptive , and predictive. Visualizations: past, present, and future.
Mike Gualtieri and Boris Evelson of Forrester recently published a great new paper Introducing AI-Powered, Human-Controlled Digital Decisioning Platforms (subscription or payment required) and you should get access to this paper and read it now. Identify the predictions that would change and improve your decision-making.
There have been so many articles published about AI and its applications, you can find millions of articles from broad concepts to deep technical literature on the internet. Artificial Intelligence Analytics. PredictiveAnalytics: Predictiveanalytics is the most talked about topic of the decade in the field of data science.
Leading research and consultancy company, Gartner describes the path that businesses take as they move to higher levels: DescriptiveAnalytics: Describe what happened (e.g., Diagnostic Analytics: No longer just describing. PredictiveAnalytics: If x, then y (e.g., Now explaining why things happened (e.g.,
Descriptiveanalytics: Where most organizations begin and linger Descriptiveanalytics answers the question: What happened? In many ways, descriptiveanalytics serves as the analytical rearview mirror. This is where analytics begins to proactively impact decision-making.
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