AM1: Developing an Effective Data Strategy

Data should serve the strategic imperatives of an organization—those key aspirations that define your future vision. Big data and data science have great potential for accelerating business, but how do you take it beyond aspirations and into a strategy? How do you negotiate the sea of possible solutions, and make them fit your needs?

In this tutorial, we explain how we work to solve real business challenges with data, and build a platform for the future. We’ll describe the importance of the data value chain, highlight case studies, and discuss partnering with business leadership.

We will also review the options for big data architectures, explaining how the various parts of the Hadoop and big data ecosystem fit together in production to create a data platform supporting batch, interactive and real-time analytical workloads.

Attendees will learn:

Connecting data with the business
Devising a data strategy
New technology potentials
Project development style

Founder of the pioneering data conference, O'Reilly Strata, Edd is a respected voice in the worlds of data, open source and the web. Bringing together deep technical know-how with market understanding, Edd makes sense of information technology and its trajectory.

Scott Kurth is VP, Advisory Services, at Silicon Valley Data Science. Building on 20 years of experience making emerging technologies relevant to enterprises, Scott crafts vision and strategy for organizations. With a background in architecture and engineering, he combines deep technical knowledge with a broad perspective, to focus on business value.