These days 23andMe develop research communities such as Parkinson's disease and inflammatory bowel disease in order to understand why some people are more likely to get a disease and why people react differently on treatment and drugs.
Experts say, big data analytics even allows small-tier financial players to leapfrog their competitors from relevant large-tier sector (international corporate banks) as the latest are rarely focused on rapid-growth strategies.
Commonwealth Bank of Australia Big Data & Analytics use case
Big data analysis has become one of the main strategic focuses for CBA a few years ago. CBA processes over 40% of card-based transactions in Australia. This way they offer the real-world information on consumer purchasing behaviors. CBA suggests its clienteles using their Bespoke Analytics tool in order to identify their business growth opportunities considering customer loyalty and footprint, spending frequency and socio-economic data, along with competitors and industry benchmark results.
The Los Angeles and Santa Cruz police departments in collaboration with a team of educators and a private company apply data analytics to predict future crime locations. The techno logy forecasts crimes, pointing down to 500 square feet potential location. As the result, a 33% of burglaries reduction and 21% of violent crimes reduction occurred in LA.
Also in September, 2014 the European scientists presented their algorithm of crime predictions based on demographics and mobile data. This algorithm obtains an accuracy of almost 70%.
Originally posted at here