How Microsoft is using big data to predict traffic jams up to an hour in advance

Microsoft has partnered with the Federal University of Minas Gerais, one of Brazil’s largest universities, to undertake research that could help predict traffic jams up to an hour in advance.

The Traffic Prediction Project is setting out to crunch all traffic data, including historical numbers where available, from transport departments, road cameras, Microsoft’s Bing traffic maps, and even drivers’ social networks, to see if established patterns can help foresee traffic jams from 15-60 minutes before they happen.

Big data is increasingly being used to analyze global problems to find solutions; this extends into the medical realm too, where it’s being used to discover new drugs and even combat health care fraud. So beating traffic jams is just one of many real-world issues that can be tackled by combining lots of data from multiple sources.

 

[ Full Story – venture beat.com – April 3, 2015 ]

Data Quality Is Lacking

A new study shows that a majority of organizations are wasting revenue and realizing poor customer insights by failing to optimize their data management strategy.

Experian Data Quality‘s “Create Your Ideal Data Quality Strategy” study, which examines respondents’ data-quality levels and issues, finds that 78% of U.S. companies could stand to improve their level of data management sophistication. Furthermore, the research shows that companies with a more sophisticated data management approach are rewarded with more accurate information and higher profits.

In short: The right data strategy can lead to greater success.

[ Full Story – dmnews.com – April 4, 2015 ]