It’s easy to talk about the cost-saving potential of big data, but it’s harder to communicate and plan for the growth and agility that is the real success story behind famous data-driven companies.
Creating value from data needs a new mindset. It’s hard to escape silos, whether they’re technical or conceptual. To fully exploit new big data tools and architectures, we need a new way of thinking that frames data as a raw material of business. The answer is not to focus on the functional components—what you do to data—but on business outcomes and how they can be achieved—what you do with data.
To fully exploit your data, you need to look at its lifecycle. By looking at the seven steps in the data value chain—from discovery and ingest through to analysis and results—we can analyze where to make investments in your data platform, and how to get early benefits while setting course for a modern data architecture.
Getting value from data shouldn’t require “magical thinking”: this talk presents a framework for understanding and extracting value from your company’s data.
Edd Dumbill is a technology analyst, writer, and entrepreneur based in California. He’s helping drive businesses with data as VP strategy for Silicon Valley Data Science.
A startup veteran, Edd was the founder and creator of the Expectnation conference management system, and a co-founder of the Pharmalicensing.com online intellectual property exchange.
An advocate and contributor to open source software, Edd has contributed to various projects such as Debian and GNOME, and created the DOAP Vocabulary for describing software projects.
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