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Thinking of Analytics as a Product

Dataiku

He’d recently finished a BusinessObjects implementation and proudly told me that he had 400 reports in production. 14 years ago I (Doug) met with the director of business intelligence at NCR in his old headquarters in Dayton, Ohio. I really didn’t have an understanding of that so I asked, “Is that too many or not enough?”

Analytics 111
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TransUnion transforms its business model with IT

CIO Business Intelligence

billion acquisition of data and analytics company Neustar in 2021, TransUnion has expanded into other services such as marketing, fraud detection and prevention, and robust analytical services. We’re modernizing existing products to get to this entire data analytics value chain.” But following its $3.1

Modeling 110
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Movie Recommendation with SQL Using Google Cloud Platform

Analytics Vidhya

Or have you ever think how Amazon shows your the recommended product based on your search item? The post Movie Recommendation with SQL Using Google Cloud Platform appeared first on Analytics Vidhya. The post Movie Recommendation with SQL Using Google Cloud Platform appeared first on Analytics Vidhya.

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Top 15 Warehouse KPIs & Metrics For Efficient Management 

datapine

3) Top 15 Warehouse KPIs Examples 4) Warehouse KPI Dashboard Template The use of big data and analytics technologies has become increasingly popular across industries. Table of Contents 1) What Is A Warehouse KPI? 2) Why Do You Need Warehouse KPIs? Let’s dive in with the definition. What Is A Warehouse KPI? Why Do You Need Warehouse KPIs?

Metrics 217
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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. Five years ago they may have. But today, dashboards and visualizations have become table stakes.

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Key Success Metrics, Benefits, and Results for Data Observability Using DataKitchen Software

DataKitchen

Key Success Metrics, Benefits, and Results for Data Observability Using DataKitchen Software Lowering Serious Production Errors Key Benefit Errors in production can come from many sources – poor data, problems in the production process, being late, or infrastructure problems. That was amazing for the team.”

Metrics 120
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Bringing an AI Product to Market

O'Reilly on Data

The Core Responsibilities of the AI Product Manager. Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Product managers for AI must satisfy these same responsibilities, tuned for the AI lifecycle.

Marketing 362