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New January Publications

by Jitendra Subramanyam  |  January 9, 2020  |  Submit a Comment

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

Business Value of D&A:

Case Study: Realizing the Promise of Analytics and BI Platforms (Dow)
https://www.gartner.com/document/3978207
If your organization is like most, you have an underused BI platform. Dow’s D&A leadership analyzes BI consumption patterns, intervenes strategically, and evangelizes successes. Their approach led to 25% more platform use and a 4-fold gain in revenue. 

Data and Analytics Strategy and Planning:

Case Study: Bottom-Up Data Integration Standard for Advanced Analytics (GWC)
https://www.gartner.com/document/3979184
Does fragmented, inaccessible data prevent your organization from taking full advantage of advanced analytics? Find out how GWC created a 500,000 record, water point dataset that integrated data from more than 50 countries in the global south with minimal burden on data providers.

Implementation Guide: How to Create a Data Standard from the Bottom Up (GWC)
https://www.gartner.com/document/3978475
Use this straightforward, six-step guide to recreate GWC’s data integration standard in your own organization.

Data & Analytics Quality and Ethics:

Zen and the Art of Data Quality Improvement 
https://www.gartner.com/doc/3978277
Does low quality data prevent value creation in your organization? Reexamine your data quality improvement practices. This research profiles a Zen approach to data quality improvement adopted by several progressive D&A leaders who have created value with imperfect data.

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

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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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