Gartner Blog Network

New October Publications

by Jitendra Subramanyam  |  October 7, 2019  |  Submit a Comment

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

Data & Analytics Strategy and Planning:

Capability-Drive Data Use Expectations (Bunge)
Do your business partners bog down your D&A team with endless requests for reports and dashboards? Find out here how Bunge standardized its business partners’ requests to ensure its data specialists received high value requests.

Data Analytics Capability Survey Tool (Bunge)
Click here to download the survey Bunge used to standardize business partners’ data requests.

Data & Analytics Talent:

Capability-Based Data and Analytics Talent Implementation Guide: Core Capabilities (Stats NZ)
What capabilities are necessary for a high performing D&A team? Stats NZ divides D&A talent into four core capabilities. Download their definitions and advancement scheme here.

Capability-Based Data and Analytics Talent Implementation Guide: Job Descriptions (Stats NZ)
Job ads are your first chance to attract new talent. Yet many D&A job ads are filled with jargon and long lists of technical requirements. Stats NZ writes jargon-free, accessible job ads for their D&A positions. Download examples here.

Capability-Based Data and Analytics Talent Implementation Guide: Development Planning (Stats NZ)
In a tight D&A talent market, it’s crucial to develop D&A talent internally. Stats NZ uses its for core capabilities to sequence internal D&A talent development. Download their guide to D&A talent development here.

Additional Resources

View Free, Relevant Gartner Research

Gartner's research helps you cut through the complexity and deliver the knowledge you need to make the right decisions quickly, and with confidence.

Read Free Gartner Research


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

Leave a Reply

Your email address will not be published. Required fields are marked *

Comments or opinions expressed on this blog are those of the individual contributors only, and do not necessarily represent the views of Gartner, Inc. or its management. Readers may copy and redistribute blog postings on other blogs, or otherwise for private, non-commercial or journalistic purposes, with attribution to Gartner. This content may not be used for any other purposes in any other formats or media. The content on this blog is provided on an "as-is" basis. Gartner shall not be liable for any damages whatsoever arising out of the content or use of this blog.