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New November Publications

by Jitendra Subramanyam  |  November 4, 2019  |  Submit a Comment

The Chief Data & Analytics Officer Research Team published the following last month:

Data & Analytics Talent:

Capability-Based Data & Analytics Talent (Stats NZ)
D&A talent is expensive and hard to find. Learn how Stats NZ attracts the right talent by prioritizing core capabilities rather than technical skills in its recruiting. Find out how the same approach allows them to train staff that are flexible and laterally-mobile.

Capability-Based Talent Implementation Guide: Job Functions (Stats NZ)
Use this tool to see how Stats NZ organizes their D&A work into separate specializations so they can effectively recruit the right talent.

Data and Analytics Job Description Library (Updated!)
We’ve updated our popular job description library with an easier to use format and new job descriptions! Each job description is downloadable, so clients can use it as a representative example and modify it to fit their needs.

Business Value of D&A:

Performance Measurement for Data & Analytics Leaders Template (Utah GOMB)
The C-Suite expects D&A leaders to generate value, but many D&A leaders struggle to quantify the performance of their teams. This downloadable and editable template offers D&A leaders an easily implementable approach to performance measurement that follows Utah GOMB’s approach.

Performance Measurement for Data & Analytics Leaders Tool (Utah GOMB)
Utah GOMB combines multiple performance indicators into a single, easily understood ratio. D&A leaders can follow Utah GOMB’s approach to quantify the performance of their teams. This downloadable presentation explains Utah GOMB’s approach and complements the template above.

Data & Analytics Strategy and Planning:

Data Dimension Prioritization Process (Clorox)
D&A leaders often assume that more data is better. Clorox thought differently. Learn how they increased sales from targeted ads by limiting, rather than increasing, the variables included in their analysis. Clorox shows how to avoid the “more is always better” trap.

Additional Resources

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Jitendra Subramanyam
VP, Team Manager I
2 years at Gartner
16 years IT Industry

Jitendra Subramanyam leads a research team that is focused on how Chief Data Officers manage the Data and Analytics function in their organizations. Jitendra teaches a course on machine learning at Harvard Extension School. The course is a practical introduction meant to help business executives understand key concepts and techniques in data science and immediately apply them to business problems.Read Full Bio

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