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Not a day goes by that we don’t come across a business article discussing the benefits of data and its ability to transform organizations. We read about a new world of possibilities, with data ushering in new customer experiences and powering the next wave of applications that will connect data to insights — and to outcomes. But the disparity between where organizations are today on their transformation journeys, and where they want to go, is growing, and it’s a reason for concern.
What stands in the way of innovation is complexity — a complexity that spans people, process, and technology, and it’s rooted in how data and data infrastructure are managed. What does that look like? A recently completed ESG study found that among organizations, 93% of IT decision makers see storage and data management complexity impeding digital transformation. As an example of that overhead, on average these organizations rely on 23 different data management tools! That’s an overwhelming amount of disparate hardware and software (not to mention the people silos) needed to manage the lifecycle of data and data infrastructure — from how data is accessed, protected, governed, and analyzed to how infrastructure is deployed, provisioned, upgraded, and mobilized.
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