Applying Bayes Theorem to a Big Data World

Bayes Theorem One of the challenges in analyzing Big Data is its volume—there is just so much of it. Then mix in high velocity, or fast data, and standard analytical methodologies to make sense of its breakdown, and it becomes even more cumbersome and ineffective. Machine-learning techniques that self-adjust and improve over time are a more cost-effective approach than a

The Analytics Supply Chain

Businesses across many industries spend millions of dollars employing advanced analytics to manage and improve their supply chains. Organizations look to analytics to help with sourcing raw materials more efficiently, improving manufacturing productivity, optimizing inventory, minimizing distribution cost, and other related objectives. But the results can be less than satisfactory. It often takes too long to source the data, build

How to Turn Anonymous Visitors into Loyal Customers

Today, marketers find one of their biggest challenges is converting anonymous website visitors into loyal customers. Research shows more than 98 percent of website visitors are anonymous. It may seem ambitious and a bit naïve, but most brands want every single person who visits their sites to make a purchase and come back for more. In today’s highly competitive marketplace,