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

4 Reasons to Build Predictive Customer Analytics into Your Retail Business

Data science is playing an increasingly bigger role in how businesses utilize technology in strategy, planning, and operations. Everyone is trying to collect data, analyze it and apply the intelligence learned into optimizing business activities. One area where the value of data – particularly in predictive analytics – has been making its mark is in retail. This is a tough