Southard Jones from Birst describes the company’s new Recurring Revenue Solution Accelerator, which gives subscription-based businesses the ability to maximize revenue, accelerate growth and reduce churn by putting fast, accurate and meaningful business intelligence and data analysis capabilities at their fingertips.
The first four installments of the Big Data & Customer Intelligence series focused on predicting and influencing customer behavior, looking at determining customer value, and understanding your customer’s social influence. In this final article of the series, we’ll take a hard look at exploring customer sentiment which is another important element of Computational Marketing.
I recently found a thought-provoking piece in the Hardvard Business Review Blog Network entitled “Data is Worthless if You Don’t Communicate It” by Tom Davenport. This article supports what I’ve been harping on in the blogosphere for a long while now – every data set tells a story and it is the job of the data scientist to be its mouthpiece.
Over at The Register, Dan Olds writes that Big Data is powering amazing fortune-telling capabilities for sports at the Prediction Machine. “My pal Rich Brueckner and I had a chance to interview PredictionMachine.com founder Paul Bessire as part of our Radio Free HPC podcast a few weeks ago. In the programme, Paul discusses the genesis of the Predictalator and how he turned his master’s degree in quantitative analysis into a full-time business. Along the way, we talk about what’s involved in analysing sports and how they arrived at their winning formula. It’s interesting listening for anyone who has ever been curious about applying scientific methodology to sports.