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

Creating an Effective Information Strategy (Part 2 of 2)

Information strategy development is often confused with tactical planning. This is the second half of a two-part series that will help you develop an effective information strategy.

• By Troy Hiltbrand
• October 25, 2017

Data Digest: Machine Learning Innovation, Predictive Analytics Hiring, Data Science Mistakes

Machine learning algorithms that write new algorithms, trends that affect analytics hiring, and data science challenges to navigate.

• By Lindsay Stares
• October 24, 2017

New Protagonist Solutions Use AI and Big Data to Give Marketers Empathy at Scale

Suite of narrative analytics solutions allows brands to quantify and utilize beliefs for higher engagement.

• October 24, 2017

Creating an Effective Information Strategy (Part 1 of 2)

Information strategy development is often confused with tactical planning. This first article in a two-part series will help you develop an effective information strategy.

• By Troy Hiltbrand
• October 24, 2017

Friday Nov 17th, 2017: ‘Analytics – There is no smoke without fire (Qlik)’

• October 23, 2017

To Become Data-Driven, Focus on User Empowerment

Many organizations face obstacles on the path to becoming data-driven. What strategies are working for your enterprise?

• By David Stodder
• October 23, 2017

Chicago TDWI Chapter Meeting Friday, November 17, 2017

• October 20, 2017

Using Advanced Analytics for Societal Good

If data can help us solve problems and improve the quality of life, we must promote and publicize analytics efforts that help advance humanity.

• By Sri V. Raghavan
• October 20, 2017