Keeping track of big data is a large-scale task as it is, but it is just as important for companies to focus on the quality of their information as it is to emphasize security and storage. In fact, adding an element of quality control to the management of data should be at the forefront of this sector of any business. However, the latest insight into big data management indicates that not everyone is prioritizing this initiative, even though many know of its importance.
Cleaning big data provides many advantages
It may seem counterintuitive to comb through large quantities of data when all you need to do is move them into the main database. Yet, Tech Republic reports that doing this allows companies to siphon out unneeded files and information, which will streamline the entire organization of business intelligence. In turn, this can make it easier to conduct data analysis and provide a clearer picture of various aspects of a business among other perks.
"You need to measure the quality of the data that is coming in before you can make any sense of it," Matt Orrego, CEO of travel technology firm Cornerstone, said during a big data panel at the business travel Show in London, according to Buying Business Travel. He went on to explain the advantages of cleaning big data. "It's not just about the frequency of the data, but ensuring that it's accurate – if you do this, then you will have confidence in the data and you can make good decisions around your procurement and supplier relationships."
Study reveals companies are willing to invest
Despite the many positives of cleaning big data, there are still many companies that have yet to approach this aspect of big data management. A recent survey from TEKsystems provides some insight into the worries holding businesses back. A vast majority of IT leaders and IT professionals (90 and 84 percent, respectively) expressed the sentiment that investing time, money and resources into big data initiatives was important.
While the survey found that more respondents are planning to work toward these goals, there seems to be a lack of skilled employees to help companies meet these goals. Approximately 80 and 77 percent of IT leaders and professionals did not think there were enough workers with the ability to handle big data initiatives. This indicates that more companies are likely to make changes in big data management, as long as they can find the staff they need to do so.