Bangalore: In recent years, the IT world has been subjected to a lot of revolution and one of the major factors to contribute this revolution is the evolution of big data. With the amount of big data accumulating each year, it’s a steep task for analysts and collectors to act upon it quickly, so that they can have a significant advantage. Josh Williams, president and chief science officer of Kontagent, a social and mobile analytics company, exclaimed at a recent press conference about mistakes that organizations are subjected to in big data usage. The following consists of top 7 deadly sins that enterprises should watch out for.

#1 Sloth – Lazy data collection:

According to Williams there is no use of collecting data when your organization is having a bad data collector. With below-par skills in finding, investigating and analyzing data, lazy data collectors are just one deadly sin in the world of big data usage. "We see a lot of times that faulty measurements lead to faulty management. It's a garbage-in, garbage-out problem," Williams told to Information week.