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Short story #2: Predictive Modeling, Quantifying Cost of Inaction. Short story #4: Multi-dimensional Slicing and Dicing! Short story #4: Multi-dimensional Slicing and Dicing! I like the option to slice by inequality index rating of the country ( GINI rating ). Short story #5: Segmented Stacked Square Charts.
The combination of a powerful storage repository and a powerful BI and analytics platform enables such analysts to transform live Big Data from cloud data warehouses into interactive dashboards in minutes. Dimension tables include information that can be sliced and diced as required for customer analysis ( date, location, name, etc.).
Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.
On Cloudera’s platform, SMG Data Scientists have fast and easy access to the data they need to be able to unleash a host of functions, particularly PredictiveAnalytics, as the data ingested can now be simultaneously used for ad-hoc analytics as well as for running AI/ML tools.
Users get predictive modeling capability assisted by auto-recommendations and auto-suggestions to simplify use and allow business users to leverage predictive algorithms without the expertise and skill of a data scientist. Real Time and Cached Cube Management. Smart Data Visualization.
Embedded BI and Augmented Analytics includes traditional BI components like dashboards, KPIs, Reports with interactive drill-down, drill through, slice and dice and self-serve analytics capabilities.
Businesses can analyze text to understand positive, negative and neutral sentiments, and can analyze the sentiments further with slice and dice with context variables such as persons location or demography.
Interactivity can include dropdowns and filters for users to slice and dice data. Diagnostic Analytics: No longer just describing. PredictiveAnalytics: If x, then y (e.g., Prescriptive Analytics: Here’s what to do to achieve a desired outcome (e.g., Interest in predictiveanalytics continues to grow.
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