Divya Radhakrishnan is a Director Analyst in the area of Data and Analytics. Ms. Radhakrishnan's areas of coverage include Data Quality, Data Observability, Data and Analytics Governance, Metadata Management and MDM. She also covers RFP reviews and guidance on working with service providers (specific to her coverage areas) by leveraging her experience as a consultant prior to working with Gartner.
Prior to joining Gartner, Ms. Radhakrishnan worked as a data consultant for 7 years and her area of expertise was in data Divya has 12 years' experience of consulting, research and advisory experience in data and analytics governance engagements and has worked with clients across divers domains to help them grow and accelerate their data transformation journey. Her areas of expertise have been in guiding and enabling senior data and analytics stakeholders to kick start data quality programs, drive adoption of data and analytics governance tools and platforms, defining MDM strategy and use cases, data standardization program, setting up metadata management (documenting business glossary & data dictionary) etc. She has also acted as MDM coach to help business users to understand and effectively manage MDM to drive supportive business outcomes.
Capgemini Invent, Managing Consultant, CDO Advisory, 2 years
Genpact, Senior Manager, 1 years
Infosys, Consultant, 6 years
Data Management Solutions
Data and Analytics Leaders and Programs
Chief Data and Analytics Officer Executive Leadership
M.B.A., in Operations Management from SIOM, Nashik
B.E., in Electrical & Electronics Engineering from Sir MVIT, Bangalore
Data and Analytics Programs and Practice: D&A governance Strategy, Operating Model, Best Practices, Policy definition
Data and Analytics Programs and Practice: MDM Strategy, MDM Roadmap, MDM Team Structure, MDM Best Practices , MDM Operating Model
Data and Analytics Programs and Practice: Data Quality Strategy, Data Quality Operating Model, Data Quality Dimensions and Metrics, Data Quality Policy Creation
Data and Analytics Programs and Practice: Selecting and working with D&A service providers
Data and Analytics Programs and Practice: Data Observability , Metadata management