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Do I Need Both BI Tools and Augmented Analytics?

Smarten

In this article, we will discuss the importance of Business Intelligence and Augmented Analytics and a few select factors the business should consider when choosing a service provider or vendor solution. Users can apply predictive analytics to any use case using forecasting, regression, classification, clustering and other algorithms.

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How OLAP and AI can enable better business

IBM Big Data Hub

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.

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Migration Supporting Real-Time Analytics for Customer Experience Management

Cloudera

By sustaining 30 Queries per Second (QPS) right off the bat, SMG was confident Hive LLAP could support the required concurrency with just a few optimizations. . Specifically, the busy hour simulation clearly identified that 95% of the legacy data warehouse queries could run on Hive LLAP with minor tweaks.

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Data Visualization Inspiration: Analysis To Insights To Action, Faster!

Occam's Razor

Short story #2: Predictive Modeling, Quantifying Cost of Inaction. Short story #4: Multi-dimensional Slicing and Dicing! And sometimes they are indeed optimal: 7 Data Presentation Tips: Think, Simplify, Calibrate, Visualize. Better than the table, but perhaps less optimal than the Treemap. Table comes in.

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What Is Embedded Analytics?

Jet Global

Interactivity can include dropdowns and filters for users to slice and dice data. Strategic Objective Provide an optimal user experience regardless of where and how users prefer to access information. Get training for those who will be using the platform to create analytics. Predictive Analytics: If x, then y (e.g.,