Online Publications/Magazines

Harvard Business Review Magazine
This online version of Harvard Business School’s publication covers issues and topics that evolve in the business world.

The Fast Company
Our mission is to find the creative workers and organizations that are building the future, and to present their stories in smart, compelling, beautiful, and useful ways.

The World Business Academy
The Academy provides a collaborative network for progressive business leaders, entrepreneurs and scholars and hosts world-class forums, dialogues and retreats.

What Is Enlightenment
WIE is the engaged, evolutionary movement that has emerged from our passionate pursuit of the question of what enlightenment really is, and what it means in the world today.

Associations

The Data Warehousing Institute
TDWI provides in-depth, high-quality education and research in the business intelligence and data warehousing industry.

Education

Data Mining Techniques, Tools and Tactics
This two-day course presents an in-depth examination of the data mining process at a functional level. Attendees will observe and participate in demonstrations of computer-guided analytical techniques for extracting and interpreting complex business rules from data. If you desire a rapid and substantial boost in your understanding of data mining concepts, tools, techniques and supporting methods, then this course is designed for you.

Data Mining: Levels I, II and III

DATA MINING: LEVEL I
An Intensive Overview of Strategy, Best Practices and Case Studies for Predictive Analytics

DATA MINING: LEVEL II
A Tactical Drill-Down of the Data Mining Process, Methods, Tools and Techniques

DATA MINING: LEVEL III
A Hands-On Application Workshop for Data Mining Practitioners

Predictive Analytics: An Intensive Overview of Strategy, Application and Best Practices for Data Mining
This two-day course offers a broad-brushed introduction to data mining terminology, methods, resources and business issues. Those in attendance will learn about various methods of predictive analytics, competitive advantages, and common pitfalls that often cause data mining projects to fall short of their potential.