TDWI | Training & Research | Business Intelligence, Analytics, Big Data, Data Warehousing

Data Democracy: Advantages, Issues, and Implementation

IT and business leaders have long wanted to give decision makers more control over their analytics work. Data democracy is one important step.

• By Brian J. Dooley
• September 24, 2018

Minimizing the Complexities of Machine Learning with Data Virtualization

How the features and benefits of data virtualization can make working with data easier and more efficient.

• By Alberto Pan
• September 21, 2018

Data Digest: Data Science in HR, Employee Siloes, New Hiring Trends

How to use data science for hiring and retention, why you should avoid relying on one employee’s knowledge, and what the next big data role to hire might be.

• By Upside Staff
• September 20, 2018

SAP Creates Ethics Advisory Panel for AI

Goal is to ensure that AI capabilities maintain integrity and trust in its solutions.

• September 19, 2018

Data Stories: How Color Helps and Hurts Data Visualization

Why you should avoid rainbow color schemes, alternatives to consider, and best practices for color use.

• By Upside Staff
• September 19, 2018

Is the Data Warehouse Dead? & The Globe and Mail A Data Modernization Journey

• September 18, 2018

Data Digest: Advice for Data Scientists

Real challenges that data scientists face, steps to develop a great data science project, and how to tell if you need data science.

• By Upside Staff
• September 18, 2018

Data Democracy Now: Advantages, Issues, and Implementation

Bringing analytics closer to decision makers has long been a goal of both IT and business leaders. Data democracy is one important step toward maintaining competitiveness and promoting growth.

• By Brian J. Dooley
• September 18, 2018