Skip to main content

Organizations' big data plans for 2013 depend on data quality

Rachel Wheeler Archive
Big data was one of the most important trends of 2012. Businesses moved quickly to make investments in analytics strategies that would enable them to make sense out of the vast amounts of customer data on hand and the even larger volumes of content being generated through internet use, mobile searches and social media participation.

The buzz is only expected to get bigger from here, reports The Telegraph. Organizations that have already deployed big data and realized its advantages in business intelligence are setting the tone for future enterprise processes.

"Data is one of the most undervalued assets of the modern business environment. The world is overflowing with information, but one common problem pervades and that is the ability to syphon out the useful data from the noise,"  Ryan Gallagher, CEO and founder of telephone analytics firm IOVOX, told the source.

This is why many organizations are adding another "v" to big data's definition, which previously included volume, veracity, variety and volume, according to Federal Computer Week (FCW). The next term is value. Clay Richardson, senior analyst for Forrester Research, explains that many companies find it difficult to incorporate big data findings into their core operational processes and improve their firms.

Although there is no end-all solution when it comes to big data adoption strategies, data quality tools can verify information to ensure organizations are using the most accurate content to derive actionable insight and improve their companies.