Gartner Expert

Sharat Menon

Director Analyst

Sharat Menon is a Director Analyst in the Tech Product Manager team of Gartner's Technology and Service Provider (TSP) organization. He currently covers foundational technology markets like data integration, metadata management, data quality etc. He also tracks emerging tech & trends in data management, such as data fabric, DataOps, data mesh, data products, AI-ready data, data lakehouses, and more. He leads Gartner research directed towards tech providers in these markets, but also supports discussions with end user organizations and investors.

Previous experience

During his stint at EXL, Mr. Menon worked on managing the clients' corporate travel data flow across systems, right from data ingestion, data scrubbing, data integration, analytics and reporting, for creating standardized and ad hoc dashboards to measure the performance of the contracts that clients have in place with airlines, and hence assist them in negotiating better deals, based on trends and patterns in the data as well as competitors' benchmarks.

Professional background

EXL Service, Lead Assistant Manager, 3 years

Infosys, Associate Consultant, 1 years

Infosys, Systems Engineer, 2 years

Areas of coverage

  • Craft World-Class Product Strategies

  • Product/Service Design and Creation

  • Product/Service Introduction and Delivery

  • Improve Product Marketing Execution

  • Technology Market Essentials

Education

Post Graduate Diploma, Management in Information Technology, Institute of Management Technology

Bachelor in Information Technology, Mahatma Gandhi University

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Top Issues That I Help Clients Address

01

Go-to-market planning for data integration & DBMS vendors: Positioning and messaging, understanding the competitive landscape

02

Trends in data delivery styles: Bulk/Batch DI (ETL) vs. data virtualization vs. data replication & synchronization vs. message-oriented movement vs. event streams

03

Trends in deployment strategies for data management tools: On-premises vs. cloud vs. hybrid vs. multicloud vs. intercloud

04

Data preparation for business teams: How to penetrate the market and sustain growth

05

Emerging trends in data management - data catalogs, data lakes, data fabric, DataOps