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Building Team-Driven Analytics and Trusting Data

Most enterprises can't fully leverage their data because they haven't established policies that build trust in the data and in collaboration.

Data Lake Platform Modernization: 4 New Directions

Early adopters of the data lake have arrived at a maturation stage where they need to modernize their platforms before expanding their implementations.

Data Digest: Data Science in Retail and Marketing

Learn about data applications for big retailers, modern marketing, and customer retention in these articles.

Data Stories: Charting Sports Data in Unique Ways

Sports are full of numbers and statistics, so the subject serves as fertile ground for experimental visualizations.

Data Digest: AI and ML for Security and Healthcare

AI and machine learning can predict security vulnerabilities, foil security protections, and create a picture of the whole patient.

From Big Data to Big Insights: How to Make Better Business Decisions with Predictive Analytics

Extract value more rapidly by using a structured, four-step approach to move advanced analytics closer to the data.

Five Database Requirements for Digital Transformation

A cloud database must be designed and developed from the ground up to have these five critical characteristics.

Why the Key to AI Success is a Tidy Data House

Strong data management is critical to predictive and AI technology.

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