In a webcast presentation, William McKnight, president of McKnight Consulting Group, offers advice on how to take advantage of predictive analytics tools, including key considerations to take into account in planning and managing predictive analytics programs. In addition, he provides an overview of potential predictive analytics applications and details examples of real-world analytics initatives.

In a podcast Q&A, consultant William McKnight gives tips on running predictive models against pools of big data, addressing issues such as whether data sampling can produce valid results and whether predictive analytics applications in big data environments should be connected to real business strategies and initiatives. He also discusses the potential benefits and challenges of doing real-time analysis of streaming data.

In an article, consultants Mike Gualtieri, Eric King and Karl Rexer outline best practices for managing predictive analytics efforts -- as well as common mistakes that companies make in deploying and using predictive analytics software, structuring their analytics teams and planning analytics strategies.

Predictive modeling shouldn’t be a solo activity or slow moving. In this expert guide, learn why businesses looking to get the most out of data scientists should ensure they’re working collaboratively while accelerating the delivery of the insights derived from data for maximum business value.

Take this brief quiz to test your knowledge of the issues covered in the lessons that make up our classroom on predictive analytics tools and techniques.