March 5, 2015 This webinar has passed. The recording is available On Demand.
TIME: 2 PM Eastern / 11 AM Pacific
PRICE: Free to all attendees
This Webinar is Sponsored by:
About the Webinar
Recognizing that there is value in data is a great starting point, but what do you do next? It’s tempting to charge off and begin deploying platforms and capabilities, but unless they’re solving real problems for your business, these investments can founder. Clearly articulating a data strategy—and doing so with both technology and business stakeholders at the table—helps ensure that you are focusing on the right things, and that your work with data has a business impact.
Data strategy serves two functions. First, it forces you to articulate the value of data inside your organization, so that your business as a whole can understand the importance of your data to creating value. Then, it tells you how to move forward, providing a roadmap for how to build the analytics capabilities and other mechanisms necessary to yield that value, especially in the emerging world of Big Data. A sound data strategy focuses on mapping technology capabilities to business objectives in a way that is actionable now, but also flexible in the face of rapid change.
This webinar will lay out a straightforward set of principles, and concrete steps, to guide the development and implementation of your organizational data strategy. Topics include:
- Creating and articulating a business-driven data strategy
- Including the right stakeholders at the discussion table
- Defining constraints: working with what is possible and practical
- Essential components of an actionable plan
- Strategy vs. architecture
- Making strategic technology choices in the face of rapid change
- How data strategy can help define your investment options
- A checklist of simple but critical strategic planning steps
About the Speakers
Director, Communications, Silicon Valley Data Science
Julie Steele is Director, Communications, at Silicon Valley Data Science. Julie thinks in metaphors and finds beauty in the clear communication of ideas. She is particularly drawn to visual media as a way to understand and transmit information, and is co-author of Beautiful Visualization (O’Reilly 2010) and Designing Data Visualizations (O’Reilly 2012).
VP, Advisory Services, Silicon Valley Data Science
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.
About the Moderator
Founder and CEO, DATAVERSITY
Tony is the Founder and CEO of DATAVERSITY Education, LLC. He is responsible for the business strategy of the company and its subsidiaries including DATAVERSITY.net, Semanticweb.com, and Wilshire Conferences, all of which conduct educational conferences, training, and publishing activities focused on the area of enterprise data management. Prior to founding DATAVERSITY, he also started a dotcom in the identity management space called BigID (which went the way of most dotcoms), and was the president of Technology Transfer Institute (TTI). He still facilitates TTI’s strategic technology forum for CTOs, called TTI/Vanguard.