There is a renewed interest in predictive analytics today, partly due to innovative tools, increased access to high-performance computing resources, reduced storage costs and a volatile economic environment leaving businesses starving for elevated forecasting.

But just because it's popular, predictive analytics doesn't have to be expensive.

This expert e-guide serves up some best-practice tips for formulating a strong predictive analytics program on a tight budget. Learn why experts believe it is pivotal to first create a blueprint and then build and test a prototype system before anything else.

You also don't want to miss discovering more about the disconnect that exists between the popularity of predictive analytics and its actual usage. SearchBusinessAnalytics.com news editor Nicole Laskowski explains why only 13% of organizations surveyed were using these invaluable tools a year ago, yet 80% cited predictive analytics as being important or very important.