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TDWI Upside - Where Data Means Business

How Modern Metadata Management Can Boost BI Productivity

Data warehousing and analytics are changing, so metadata management can't stand still. We explain what's driving the push to modernize metadata management and marketplace trends that ease the process.

Prescription for Business Success: A New Breed of Analytics

Prescriptive analytics builds on predictive analytics by evaluating and recommending actions through heuristics (rules), machine learning, and other AI constructs. Here's how it's being used today and its prospects for the future.

Successful AI Demands Careful Planning

Before you can exploit the benefits of AI-powered analytics, you must build a firm foundation that informs your AI strategy.

Data Digest: Promoting and Encouraging Data Practices

How executives drive analytics adoption, how to empower data scientists, and how graph databases might be used for internal collaboration.

Data Stories: Constellations, Meteor Showers, Orbiting Material

Winter has brought long nights to the Northern Hemisphere. These data visualizations show the stars, meteors, and satellites that brighten the sky.

Great Machine Learning Needs Careful Data Engineering

A new TDWI Checklist Report examines best practices for data engineering and management to support machine learning with a focus on collecting, cleansing, transforming, and governing new and big data for analysis.

Five Drawbacks to Self-Service BI

Self-service BI promises data democratization and faster data-based decisions, but it's not without limitations. Here are five considerations to keep in mind about a self-service BI program.

Data Digest: Machine Learning Applications, Methods, and Training

Machine learning might predict natural disasters, new methods for training algorithms, and new education offered.

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