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New April Publications

by Jitendra Subramanyam  |  April 1, 2020  |  Submit a Comment

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

Business Value of D&A:

Tool: 6 Ways Data and Analytics Leaders Can Serve Their Organizations During the COVID-19 Crisis

How can data and analytics leaders serve their organizations during the COVID-19 crisis? This deck showcases companies that use D&A to cut costs, optimize business processes, spend efficiently on talent, maximize the value generated from existing spending, and accelerate with new investments.

Tool: Practical Cost Optimization Techniques for Data and Analytics Leaders Responding to COVID-19

Data and analytics leaders are well placed to assist their organizations during the COVID-19 pandemic. This compendium provides critical resources and guides to quickly ramp up cost optimization plays with D&A.

Data & Analytics Strategy and Planning:

Case Study: Data-Driven Decision Making Using the Assumption-to-Knowledge Ratio (Bose)

Data and analytics leaders need to teach business partners to make good data-driven decisions. Bose developed an assumption-to-knowledge ratio that forces teams to weigh new information against key assumptions. D&A leaders can use this ratio to help their business partners.

Data & Analytics Talent:

Toolkit: Critical Market Information for Hirng D&A Talent in the United States

This Toolkit presents data from Gartner TalentNeuron revealing the current candidate supply, dee, we provide the most frequent skills andmand, salary, time to fill, and hiring difficulty of key data and analytics roles in the U.S. labor market.

Toolkit: Intelligently Sourcing Internal D&A Talent when Budgets are Tight

This toolkit provides essential information to find people in data-adjacent roles inside your organization. For each common D&A role, we provide the most frequent skills and the most adjacent roles. Use this info to look for internal data talent!

 

Want even more great content? You can find a full list of our publications here.

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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