3 Big Data pitfalls to avoid

Big data presents big opportunities, but newbies may need experienced professionals in order to avoid three common deployment mistakes, InformationWeek reports.

Three of the most common problems in big data deployments are incomplete data collection, false starts, and disruptive drains on IT and data-professional staff productivity, according to a recent report by the research and growth-strategy consulting firm Frost & Sullivan.

In fact, these problems are so pervasive and the associated risks so great that organizations new to big data should seek out assistance from professionals — whether technology integrators or big data consultants. Tapping professionals “can easily cost the organization less than doing the job in house,” writes Jeff Cotrupe, author of Frost & Sullivan’s “The World Moves Fast, And Data Is Driving” report.

The three traps the report describes have a corrosive effect, not only big data projects and teams, but also on the IT and business leaders who give such projects the green light, putting their credibility at stake. Here are the few of the risks inside each pitfall…

Read more