But there’s a catch. The data landscape and the ways enterprises want to use it, is becoming ever larger and more complex. Put simply, there’s much more data to handle, at greater speed. Data complication is also evident in many more varieties and resides in many more places, not to mention the heightened need to access data from all points of the cloud continuum.
What’s more, most organizations are not effective at using real-time data, or ensuring connectivity and interoperability across different infrastructure components. Many also struggle to trace their data or find the information needed to answer even basic questions about their customers, assets, people, and partners.
Why is this so hard? Because knowing where the data resides is only part of the problem. There’s also the challenge of accessing it, extracting it, processing it, analyzing it, and distributing the insights to the right people or systems at pace. And that’s dependent on the data platforms, processes, skills and culture the organization has at its disposal.
Whether this data complexity comes from old challenges or is exacerbated by new ones, a majority of companies believe there’s a gap between where they want to be and where they actually are today.