I recently spoke with Bell Mobility’s Adam Moore, a member of the organization’s OSS Systems Integration Team. Bell Mobility is Bell Canada’s wireless division, employing a multitude of analysts who eat, sleep, and breathe Big Data. They capture metrics and run analytics on call failures, call drops, and call volume—helping the company provide better service to their customers.

Sure we hear a lot about Big Data these days, but we need these catch phrases to talk about abstract concepts. And Big Data is as important as it is abstract: it represents a smarter way to do business, to create value from all this data we have, and to make better decisions. Big Data enables Bell Mobility directors to pinpoint inefficiencies and see where optimization is needed to maintain optimal services to a broad customer base.

So on our call, Adam told me that things had slowed down. His users were dealing with longer and longer SQL query times, which was impacting their ability to do their jobs. Faced with significant data growth and a need for faster delivery of that data to meet SLAs with their users, Adam’s team needed a solution to escalating performance problems, like right now.

In assessing their options, Adam and team conducted an evaluation of V-locity® VM™. The results? A 61% reduction in I/O to the SAN, which led to 98% faster data processing times. And backups? “They used to run at 10MB per minute and sometimes didn’t complete at all. Now they run at 60-120MB per minute and complete consistently.” 

Read more about the team’s success with V-locity in the Bell Mobility case study.