The digitization of businesses means that more data is injected into our day-to-day workflows and personal lives. We continue to create more data than ever before, leaving organizations struggling to securely capture, retain, analyze, protect, and delete this data in a cost-effective manner. What's more, trends in digital transformation and data management demand that organizations derive more value and insight from their data than ever before - all in the name of competitive advantage.
While data growth is a serious concern for IT organizations already challenged to keep up with capacity and system demands, forward-leaning organizations also struggle to develop innovative and consistent ways to generate more value from data. This might simply mean making sure all data is categorized correctly for future analysis. Or it could mean more advanced, automated analysis of data to ensure the right data is fed to the right business units or data scientists who can act on it.