Gartner Expert

Afraz Jaffri

Director Analyst

Afraz Jaffri is a Research Director at Gartner, where Mr. Jaffri focuses on Analytics & Data Science. He advises Data and Analytics leaders on making the most from their investments in modern data science and analytics platforms, from business case development and strategy through to architecting scalable insight-driven solutions. He has particular interests in the identification of use cases for advanced analytics, organizational and culture change required for analytics and AI adoption and the ethical implications of introducing AI and automation in the workplace. He also has a special interest in the use of knowledge graphs and linked data for creating a data fabric of enterprise information.

Previous experience

Mr. Jaffri worked as a Management Consultant for over a decade, advising clients on business intelligence, analytics, data science, and AI strategy and implementation. He delivered a number of enterprisewide analytics solutions including self-service dashboards, data science platforms and AI applications with responsibility for business case development, architecture and functional roadmaps.

Professional background

Capgemini

Senior Consultant

PwC

Manager

Capgemini

Consultant

Areas of coverage

Data and Analytics Leaders

Analytics, BI and Data Science Solutions

Data and Analytics Strategies

Artificial Intelligence

Business Analytics and Artificial Intelligence for Technical Professionals

Education

B.Sc., Computer Science, University of Southampton, 2:1

M.Phil., Computer Science, University of Southampton

Read More Read Less

Top Issues That I Help Clients Address

1How to take advantage of key trends in analytics and data science?

2How to evaluate and select the right modern analytics and data science platforms?

3How to introduce and optimize data science and machine learning capabilities for analytics solutions?

4How to use artificial intelligence in an organizationà ¢à  à  s goals?

5How to prepare an organization to shift from piloting and early projects to stable and strategic use of analytics & data science across the organization?

Latest research and insights