Upside


Data Privacy: 3 Best Practices to Enact Now

A new survey found that less than a quarter of respondents feel their enterprise has sufficiently addressed data management and privacy needs. What’s behind this pessimism and what actions can your enterprise take now?

Data Stories: Create and Understand Data Visualizations

How to create more effective data visualizations, avoid illegible charts, and read a scatterplot.

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.

Data Digest: Missing Maturity, Skills, Leadership

How common is low BI maturity, how many businesses are struggling with low analytics skills, and why executives aren’t leading the charge on AI.

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.

Putting IT in CapITalism

Legally correct and ethical behavior is demanded of finance, marketing, and sales. Why should IT be different?

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.