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Why Choose a Hybrid Data Cloud in Financial Services?

Cloudera

Then there are the more extensive discussions – scrutiny of the overarching, data strategy questions related to privacy, security, data governance /access and regulatory oversight. However, one strategy is consistently discussed and deployed – a hybrid data cloud. Focus on Business Strategy First.

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Trakstar unlocks new analytical opportunities for its HR customers with Amazon QuickSight

AWS Big Data

This includes complementary solutions for OFCCP compliance management; diversity, equity, and inclusion (DEI) strategy and recruiting (now with Circa); advanced background screening; I-9 compliance; workflow automation; policy management; and more. The power of QuickSight lets our customers slice and dice the data in different ways.

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Experimenting to Win with Data

Sisense

After engaging end users about their goals, it’s time to shape data models based on their responses. It’s crucial “to be able to slice and dice and go into that detail as you go along because not only do you want to provide information on a holistic view or a high level, but you want to be able to dive deeper.”.

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Do I Need Both BI Tools and Augmented Analytics?

Smarten

Recent studies have focused on the trends in business intelligence and augmented analytics, predicting that businesses will grow analytics within the enterprise with: Augmented Analytics to enable non-technical business users to create sophisticated data models. Predictive Modeling to support business needs, forecast, and test theories.

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The Complete Digital Analytics Ecosystem: How To Win Big

Occam's Razor

Helpful post: Best Metrics For Digital Marketing: Rock Your Own And Rent Strategies.]. While there are no such things as blessed KPIs everyone must follow – because everyone is not executing the exact same strategy -, some metrics can never be KPIs. You need to slice! You need to dice! Averages this. Total that.

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Will AI Increase the Reach of BI and Analytics?

Birst BI

No longer will the business user need to slice and dice the data or ask for more data to answer a business question. He published a paper proposing the development of a “relational database model” to address this issue. Figure 6: Amazon Machine Learning to build and deploy Predictive Models.

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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. Cost optimization : Optimizing cloud spending for OLAP resources can be challenging due to complex pricing models and resource utilization patterns.

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