Author of Fundraising Analytics
Principal at Bentz Whaley Flessner
Founder of the analytics group donorcast

Scientists are developing a computer that can read vast amounts of scientific literature, make connections between facts and develop hypotheses.
To be useful, a computer would need to trawl through the literature in the same way that a scientist would: reading the literature to uncover new knowledge, evaluating the quality of the information, looking for patterns and connections between facts, and then generating hypotheses to test. Not only might such a program speed up the progress of scientific discovery but, with the capacity to consider vast numbers of factors, it might even discover information that could be missed by the human brain.

The 10 most amazing databases in the world do more than store knowledge. They provide researchers with new ways to solve long-cold crimes, predict economic recessions, measure your love life, map the universe and save lives.
Why Children’s Mercy Hospital’s annual giving program rules.
A great video from David Logan, director of annual programs and analytics on how they use predictive analytics for annual giving segmentation and prioritization.
Predicting Personal Behavior (Next Frontier in Credit Scores) from the Wall Street Journal
BY SCOTT THURM
Do you know your Medication Adherence Score?
Fair Isaac Co. thinks it does. The company that created the FICO credit score is branching into new territory, assembling disparate data in an effort to better understand a range of human behaviors.
The Medication Adherence Score is Fair Isaac’s latest innovation. It aims to gauge the likelihood that a person will take his prescribed medications. Though the company is mum about how it crunches numbers, the score is based partly on how long a person has lived at the same address and whether he owns a car.
“We know what you’re going to do tomorrow,” Mark Greene, Fair Isaac’s chief executive, told investors earlier this year.
Web 3.0 (from social to big data). Are you ready?
Using data to improve real life experiences. It’s all about Big Data. Watch this debate, a must!
If Web 2.0 was all about social, then Web 3.0 is all about “big data:” people and machines sharing an unprecedented amount of information. What does that mean for you as a recruiter, a professional, and an individual? In this session, Reid Hoffman, LinkedIn Co-Founder and Executive Chairman, will be joined by some special guests to discuss the next wave of the internet and how it will change things—again.
Headline link goes directly to the Fast Company Article.
For information on applying analytics to nonprofit fundraising, visit DonorCast