To keep you on top of the latest and greatest big data technology news, we’ve rounded-up some topics in the news. First, read about how big data is impacting Major League Baseball and then check out real examples where the Internet of Things (IoT) and big data are playing well together.
Big Data Impacts MLB
With the start of the Major League Baseball season this week, Ronald Blum of NBC Bay Area reported that infielder shifts are happening more often due to big data technology and analytics. Many teams are using big data to track and analyze pitches and batted balls. The article finds that since 2011 infield shifts have increased from 2,300+ times to over 13,000 times last season. Mr. Blum sited the following example to demonstrate how big data is making a difference by changing the way infielders play:
“Last April, the St. Louis Cardinals put all four infielders on the right side for the New York Mets’ Lucas Duda when he got to two strikes. He hit a two-hopper to second baseman Mark Ellis — who was perfectly positioned about 15 feet into right field and threw to first for the easy out. Duda estimates shifts sliced his average about 20 points last season”
So, if you attend a game this spring take a minute to see if you can spot where big data might be playing a role with your favorite team.
IoT and Big Data Working Together
Conner Forrest of ZDNet writes, “As organizations step into IoT, they must understand the symbiotic relationship between it and big data. For IoT deployments to really make an impact, they must provide some sort of useful tool or service, while also collecting relevant data.” Flip it around and big data must provide useful and actionable insights or the data amassed is not of value either. Here are a couple of examples from Mr. Forrest’s article that demonstrate where the two are working well together:
- UPS is using vehicle sensors and big data analytics to improve the efficiency of its fleet
- The city of Barcelona has married city-wide sensors and big data analytics to improve its public transportation as well as monitor the impacts of tourism
- John Deere is using environmental sensors to detect agricultural data that can be analyzed to better inform farmers about their crops and to allow them to better manage water use
These examples highlight the importance of not just amassing data but collecting the right data that will produce insights to transform your business.