10 Mistakes to Avoid When Adopting Advanced Analytics

by Troy Hiltbrand

Advanced analytics is the application of mathematical and statistical modeling techniques to describe what is happening in the world. Companies that can apply these models in an automated fashion, without human intervention, can generate significant economic value. This creates the potential for fast-paced, large-scale decision making with a high degree of precision and accuracy.

But the influx of innovation at the executive level can be a boon for technologists wanting to try out new and leading-edge technology. The challenge becomes how to do it efficiently and effectively without making dramatic mistakes along the way.

Download this report for a list of 10 mistakes to avoid when adopting advanced analytics, and learn how you can improve your own implementation.