Standard business analytics and big data projects both involve detailed data analysis, so it's often tempting to treat them as variants of the same problem and assign the same staff to them. However, that might not always be a sensible strategy.
Charts picture from Shutterstock
At a session at Gartner Symposium 2013 on the Gold Coast, analyst Douglas Laney advised against taking that approach. "Consider walling off your data warehousing and business intelligence initiatives from doing things with big data," he said.
The reason? BI typically involves repeatable measurements, while big data projects are often rolled out to solve a specific real-time business problem and require more experimentation. Despite the analytical similarities, the skill sets won't necessarily match. "Big data is around challenges and opportunities," Laney said.