Every business wants to collect troves of business intelligence (BI), as much data as executives, marketers, and every other department in the organization can get their hands on. But once you’ve got that data, the difficulty lies not only in analyzing the massive data lake to find the key insights for which you’re looking (without being inundated by the sheer volume of information) but securing all of that data as well.
Manage big data presents a new security challenge that some businesses are not prepared for. It’s different than protecting your network or even protecting a small amount of sensitive information in that the scope is so much larger. Unfortunately, not all businesses realize that. Many try to use the same data protection methods that they’ve always used on larger and larger amounts of data, and that causes issues. More and more businesses are now collecting big data to use in marketing and customer retention. In 2013, for example, the number of businesses collecting big data grew by 58%. That number has only increased every year after.
2016 was a landmark year for big data with more organizations storing, processing, and extracting value from data of all forms and sizes. In 2017, systems that support large volumes of both structured and unstructured data will continue to rise. The market will demand platforms that help data custodians govern and secure big data while empowering end users to analyze that data. These systems will mature to operate well inside of enterprise IT systems and standards.
With the development of technology resources, organizations will increasingly depend on exploiting data for creating new products, services, innovation as well as changes in business processes.
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