Gartner Blog Network

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

New February Publications

by Jitendra Subramanyam  |  February 4, 2020

The Chief Data & Analytics Officer Research Team published the following last month: Business Value of D&A: Infographic: Six Traps on the Road from Data to Value https://www.gartner.com/doc/3980180 Gartner research reveals six traps organizations fall into when they try to generate value with data. Avoid them by learning from the case studies referenced here! Data […]

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New January Publications

by Jitendra Subramanyam  |  January 9, 2020

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 […]

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New December Publications

by Jitendra Subramanyam  |  December 3, 2019

The Chief Data & Analytics Officer Research Team published the following last month: Data & Analytics Talent: Data and Analytics Talent Library https://www.gartner.com/document/3971029 This library puts all of Gartner’s resources on sourcing, staffing, organizing, and developing high performing D&A teams in one regularly updated place. Business Value of D&A: Communicating Through Data Visualization https://www.gartner.com/document/3975810 Does […]

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What We’re Reading! A new blog series (11/20/2019)

by Jitendra Subramanyam  |  November 20, 2019

What We’re Reading! is a new blog series highlighting our favorite articles about data and analytics. We all come from different backgrounds and draw insights from a wide range of sources. Follow along to see what’s interesting to us! ___________________________________________________________________________________________________________________________________ 11/20/2019 The Farm Automation Breakthrough Bringing the High-Tech West Coast and Rural Rust Belt Together […]

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New November Publications

by Jitendra Subramanyam  |  November 4, 2019

The Chief Data & Analytics Officer Research Team published the following last month: Data & Analytics Talent: Capability-Based Data & Analytics Talent (Stats NZ) https://www.gartner.com/doc/3970761 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 […]

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New October Publications

by Jitendra Subramanyam  |  October 7, 2019

The Chief Data & Analytics Officer Research Team published the following last month: Data & Analytics Strategy and Planning: Capability-Drive Data Use Expectations (Bunge) https://www.gartner.com/doc/3969807 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 […]

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New September Publications

by Jitendra Subramanyam  |  September 6, 2019

The Chief Data and Analytics Officer Research Team published the following last month: Data & Analytics Quality and Ethics: Rationales for the Idealistic Imperative in Business https://www.gartner.com/doc/3957016 Are you perplexed by the hype around business ethics? Click here to learn why ethics are crucial for branding and financial performance today. Find concrete recommendations D&A leaders […]

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Pitfalls of Algorithmic Decisions and How to Handle Them

by Jitendra Subramanyam  |  August 24, 2019

This post is by Veena Variyam, Director, Infrastructure & Operations Advisory and Research at Gartner. Algorithmic Decisions (and Pitfalls) are Everywhere Machine learning algorithms with access to large data sets are making myriads of critical decisions, such as medical diagnoses, welfare eligibility, and job recruitment, traditionally made by humans. However, high-profile incidents of biases and […]

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New August Publications

by Jitendra Subramanyam  |  August 1, 2019

The Chief Data & Analytics Officer Research Team published the following NEW RESEARCH last month: Data & Analytics Strategy and Planning: 5 Steps to Get Started with Machine Learning https://www.gartner.com/doc/3953653 Eager to get started with ML but afraid it will be too technically difficult, expensive, or time consuming? Click here to learn the 5 steps […]

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Data-Driven Decision Making

by Jitendra Subramanyam  |  July 22, 2019

Here is some data. You’ve probably seen something like this in your management dashboard. Does it warrant a data-driven decision? You are in charge of Group 4. Given that your group’s renewal rate is lower than that of Groups 1, 2, and 3, should you take action to fix customer renewal in your group? Should […]

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