Muristek
Increasingly diverse and spread across a hybrid landscape, the data estate has become messy and unwieldy — a drag on organizations’ ability to drive insights and effectively capitalize on data-driven business.
The sheer size and scope of the data landscape, exacerbated by the explosion of unstructured data from video and social media, make it difficult to manage or achieve sustainable end-to-end visibility. Yet without a clear picture across the full data life cycle, IT organizations find themselves burdened by data operations, taking time away from their real goal of creating data assets that can drive value at scale across the enterprise.
“If an organization doesn’t have a layer of observability and governance across the entire life cycle, data can become a liability,” says Naveen Kamat, executive director, Data and AI Services, at Kyndryl. “The IT organization spends too much time figuring out what data sources exist, how to access data, putting the right controls in place, and second-guessing data quality and lineage. It weighs down the enterprise.”
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