We at Inform believe that data tells a story, across all industries, and every week we’ll be rounding up the most interesting ones right here. This week: Comcast; Penn Medicine; and urban bike sharing.
The cable company has access to viewing data from 18 to 22 million subscribers across the much of the U.S., and is planning on licensing that data to other companies for a multitude of purposes.
Analyzing such data could help boost the TV-ad market; fill the gap in traditional TV ratings which omits data from mobile devices and on-demand and streaming services; and more narrowly target audience’s interests, whether the audience is consuming ads or programming.
A technology company has partnered with an airline to develop new technology to help airlines better manage disruptions such as bad weather and air traffic congestion.
The technology uses a recommendation engine to analyze data drawn from sources including air traffic control, maintenance, and crew management systems, in order to help airlines make more efficient decisions on issues such as whether or not to delay or cancel a flight. Other possible applications include improving issues related to check-in time, airport gates, and luggage belts.
An insurance company in the UK is using big data to improve fraud detection and lower customer cancellation rates. As a result, they’ve been saving $7.5 million annually since implementing their data collection and analysis processes.
The company’s large volumes of data include 20 million insurance quotes a day; premiums based on these quotes; customer risk factors; and other customer information such as credit scores, identity checks, and fraud data. Processing such data has helped to identify previously unknown patterns and differences between customers; to highlight “fraud indicators earlier in the customer journey”; and to make pricing decisions based on customer behavior.
Big data is helping Penn Medicine to innovate on clinical quality improvement, genomic research, diagnostic apps, and more. A team of clinicians and data scientists is using a huge volume of data “to build prototypes of new care pathways,” which are tested with patients. Those results are fed back into the algorithms “so that the computer can learn from its mistakes.”
A significant success the team has already achieved is the prediction of sepsis infections a full 24 hours earlier than before the algorithm was introduced.
As urban bike-sharing programs become more and more popular, some cities are taking advantage by letting their bikes gather valuable data. For instance, Portland, Oregon is harnessing the data collected by bike-counting sensors to back their increasing investment in biking culture, such as adding more “bike-friendly infrastructure” and boosting bike-share programs.
Chicago’s bicycles record basic demographic data from yearlong pass holders, as well as where they’re going and where they’ve been. The Windy City goes a little further by publishing the data and letting the public create visualizations based on it. One showed which was faster, biking or using public transit, depending on the route. Another displayed the amount of bike traffic in each neighborhood as well as those that needed more bike lanes, while another created a dating application specifically bikers.
Dublin fitted 30 of their bikes with air sensors to measure the city’s air quality. The sensors gather data on levels of carbon dioxide, carbon monoxide, smoke, and particulates, and from there the city can determine the cleanest routes for bikers as well as problem spots where air pollution needs to be improved.