No More Silos: How DataOps Technologies Overcome Enterprise Data Isolationism

Data—and the value derived from it—dictates success in the modern enterprise. Enterprises that exploit data to derive value recognize new revenue, see new efficiencies, and enjoy intangible benefits like strengthened customer relationships and greater marketing efficiency.

But organizational ennui, legacy system burdens, and change aversion conspire to bury enterprise data in metaphorical silos. The free flow of data is a mandate for success in the modern enterprise. When silos obstruct data-workflow efficiency, that modern enterprise cannot maximize data-derived value.

In this report, Blue Hill Research examines how enterprise leaders use DataOps approaches to break down silos, whether those silos are organizational, architectural, or process-driven. This report also introduces a migration framework for DataOps adoption.

To read the rest of this report, please fill out the download form.


About Toph Whitmore

Toph Whitmore is a Blue Hill Research principal analyst covering the Big Data, analytics, marketing automation, and business operations technology spaces. His research interests include technology adoption criteria, data-driven decision-making in the enterprise, customer-journey analytics, and enterprise data-integration models. Before joining Blue Hill Research, Toph spent four years providing management consulting services to Microsoft, delivering strategic project management leadership. More recently, he served as a marketing executive with cloud infrastructure and Big Data software technology firms. A former journalist, Toph's writing has appeared in GigaOM, DevOps Angle, and The Huffington Post, among other media. Toph resides in North Vancouver, British Columbia, Canada, where he is active in the local tech startup community as an angel investor and corporate advisor.
Posted on May 12, 2017 by Toph Whitmore

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