Taming the Data Beast of Burden

Michael Vizard
Slide Show

Big Data Analytics

The first steps toward achieving a lasting competitive edge with Big Data analytics.

The trap that a lot of IT organizations fall into these days is that they basically treat data like it's a burden versus an asset that should be exploited. As a result, all the focus on IT these days tends to be on how to reduce the cost of the burden versus maximizing the value of the asset.


None of this implies that reducing the cost of enterprise IT is not a worthy goal, but Sybase CTO Irfan Khan says that the businesses that will succeed most in the coming years are the ones that take a proactive approach to not only managing data, but also paying close attention to how the integrity of that data is maintained.

 

As businesses become more aware of the value of Big Data, the CTO of the SAP business unit says we'll not only see more investments in business intelligence and related analytics applications, more companies will appoint chief data officers to be the primary custodians of their data. This role, adds Khan, should sit between the business and IT to handle everything from routine compliance issues to being the voice of reason when it comes to making sure that the quality of the data that an organization collects is consistent and of sufficient quality to actually be useful.


The companies that take this step will not only gain a sustainable competitive edge over rivals, they will also simultaneously reduce their IT costs by eliminating much of the redundant data that most organizations today choke on in the absence of any real data management strategy.


Khan says that as enterprise IT evolves, we'll soon see the rise of metadata servers that will help streamline the overall data management process. But organizations should not be waiting for the arrival of that technology before moving to get their data houses in order. After all, while business is all about information, it's not the company that has the most data that ultimately wins, but rather the company with the most useful data.



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