Presented By O'Reilly and Cloudera
Make Data Work
5–7 May, 2015 • London, UK

Data Strategy and the CDO

Scott Kurth (Silicon Valley Data Science), Julie Steele (Manifold)
13:45–14:25 Thursday, 7/05/2015
Business & Industry
Location: Blenheim Room - Palace Suite
Average rating: ****.
(4.33, 3 ratings)
Slides:   1-PDF 

Prerequisite Knowledge

No technical knowledge is required.

Description

Most organizations now realize the benefits of exploiting data for growth. As the importance of having a strategy in place for how to derive full value from their data is sinking in, many organizations have added a chief data officer (CDO) to their executive team to help create and implement that strategy. But every organization is doing this a little bit differently — in terms of reporting structure, duties, and skillsets.

This talk will describe how a variety of industries and organizations are using CDOs and will make recommendations for best practices. It will cover:

- Reclaiming “data strategy” for business advantage
- The emergence and main duties of a CDO
- The skills required for an effective CDO
- Cultivating a data-driven organization

This talk is meant for CEOs, CIOs, CTOs, would-be CDOs and anyone else with a stake in connecting top-level business strategy to projects and processes meant to derive value from data.

Photo of Scott Kurth

Scott Kurth

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.

Photo of Julie Steele

Julie Steele

Manifold

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).