21Jun

As technology continues to grow, the amount of information transferred and stored around the world has grown to colossal proportions.

Many companies from large banks to scientific research firms have an enormous task on their hands – how do they capture, store, transfer, analyze or visualize enormous sets of data?

The term “Big Data” refers to the collection of these data sets, many of which are too difficult to process using a normal database management tool or other similar data processing application.  The trend has continued largely due to the amount of devices used to collect information such as mobile, software logs, cameras, advances in scientific data recording, etc.

Large enterprises eventually must come to terms with a new riddle – who should own the big data initiatives that could ultimately affect the entire enterprise itself? Banks for example might see a large benefit in fraud analytics, web analytics, customer data, and even geo-location data.

Ultimately, creating a Big Data solution will bring together a combination of people, technology, and process all of which will focus on a certain business outcome.  Someone will need to take ownership of the data, which will include accuracy, completeness, analysis, maintenance, and integration.

Are you looking for a Big Data solution?  It might be time to consider an approach that ensures that the future of your enterprise is not entangled in messy infrastructure with zero accountability.  Investing in this emerging need will become vital, as will the ability to understand how to interpret such a massive amount of information.