No doubt about it (and I’m likely “preaching to the choir” here), data has moved to the forefront of enterprise priorities. Everywhere you look, you see “data-driven enterprise”, “big data”, “enterprise data”, “data silos”, “migrating data to the cloud” and all the things that create data or impact how data is being used (or the promise of how it CAN be used). These headlines, hot topics, over-used references and trends shine a bright light on the need for a new breed of data management — agile data management.
Consider this: Data control — once the sole domain of the CIO or CTO via the IT department — is increasingly in the hands of users. The key enablers are new approaches to data processing, analytics and data management in the hands of a far broader set of application-enabled data users.
A second key consideration: The proliferation of data sources and applications capable of making data usable by non-data scientists means that data analysis has gone from the hands of the few to the many in an organization. We call this data democratization, which can catapult businesses to new heights of performance while also demanding a new way of thinking about — and delivering — data management.
In this webinar, 451 Analyst, James Curtis talks with my manager, Magnitude’s GM of the Connectivity business, Tony Fisher and me about the technology trends shaping democratized data access and the role of agile data management in the data-driven enterprise.
Data connectivity is a strategic imperative for businesses to capitalize on their greatest asset — data. The ability to access and integrate data when and where it’s needed simply cannot be underestimated.
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