We’re researchers, so it makes sense that we love data. Big data, small data, and all data in-between. But does our love run so deep we overlook the validity of all the data we use? Deloitte Insights brings up a good point, “When big data contains bad data, it can lead to big problems for organizations that use that data to build and strengthen relationships with consumers.”
Reshma Krishna
Senior Director – Product Management
Reshma is a technology professional with more than 10 years of experience spanning the retail, CPG market research, and insurance industries. She currently serves as Senior Director of Product Management at Lightspeed where she leads cross-functional teams focused on product execution.
Prior to joining Lightspeed, Reshma worked at Kantar Millward Brown and Nielsen in both product management and analytics roles, most recently as Senior Director, Product Innovation for Media and Digital Practice. She also held management roles at Accenture and Market6.
Reshma holds a B.S. in Chemistry, Physics and Mathematics from the University of Kerala and a PGDBA, Business Administration and Management from Mahatma Gandhi University.
Reshma is a technology professional with more than 10 years of experience spanning the retail, CPG market research, and insurance industries. She currently serves as Senior Director of Product Management at Lightspeed where she leads cross-functional teams focused on product execution.
Prior to joining Lightspeed, Reshma worked at Kantar Millward Brown and Nielsen in both product management and analytics roles, most recently as Senior Director, Product Innovation for Media and Digital Practice. She also held management roles at Accenture and Market6.
Reshma holds a B.S. in Chemistry, Physics and Mathematics from the University of Kerala and a PGDBA, Business Administration and Management from Mahatma Gandhi University.
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Topics: data series, validation