Modern data-driven companies are the best at leveraging data to anticipate customer needs, changes in the market, and proactively make more intelligent business decisions. According to the Gartner 2018 CEO and Senior Business Executive Survey, 81 percent of CEOs have prioritized technology initiatives that enable them to acquire advanced analytics. While many companies tapping into advanced analytics are now rethinking their data architecture and beginning data lake projects, 60 percent of these projects fail to go beyond piloting and experimentation, according to Gartner. In fact, that same Gartner survey reports that only 17 percent of Hadoop deployments were in production in 2017. If companies don't successfully modernize their data architecture now, they will end up losing customers, market share, and profits.
What Drives the Shift to a Modern Enterprise Data Architecture?
The architectures that have dominated enterprise IT in the past can no longer handle the workloads needed to move the business forward. This shift towards a modern data architecture is driven by a set of key business drivers. There are seven key business drivers for building a modern enterprise data architecture (MEDA):
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