Connected Data Delivery: Combining Data Unification and Data Preparation

Innovation at the edges of the Big Data value-chain model has, on the one side, fostered sophisticated BI delivery, and on the other, led to flexible, affordable, and scalable data storage. But in the swampy middle, data delivery continues to play process-innovation catch-up, and is typically muddied with manual data pulls, costly process repetition, error-prone reporting, and unmeasurable data integrity.

Efficient data delivery requires both data unification and data preparation capabilities. Data unification is the collection and management of data from multiple sources. Data preparation enables stakeholders to formulate data—essentially the last-mile processing of unified data sets for business analytics consumption. When the two functions are paired in a data-management workflow environment, the data-driven enterprise enjoys efficient, repeatable, silo-breaking data-delivery capability that sets up analysts and data consumers to achieve greater insights.

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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 February 9, 2017 by Toph Whitmore

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