Data governance will always trump big data for one simple reason: Information managers have to follow the philosophy of quality over quantity. 

The biggest challenge data managers face is that the more they collect, the bigger the risk for low quality or inaccurate information. Making decisions based on data that is simply wrong can be incredibly costly at an organization, but it can happen if you don't have a system in place to properly review your information and ensure its accuracy and relevancy. 

An ironic twist on the NSA scandal occurred when the U.S. Government was unable to extradite Edward Snowden from Hong Kong earlier this summer due to data errors. The organization with perhaps the most amount of data at its disposal did not have its information in order. As a result, documentation filed by the government lacked crucial data, which allowed Snowden to escape. 

This is a prime example of why having too much information without a proper way to manage it can be an enormous problem for an organization. Of course, this is also an extreme example, and your data management processes will likely be on a smaller scale, but the same principle applies.

You cannot concern yourself with having enough data if you don't even have the right information. Having said that, information volumes will continue to rise over the next seven years, so having the right solutions in place to help sort and organize data is crucial. Building a custom database software system can allow your organization to stay on top of data governance, even as your information grows.