Swapna Dasara
Swapna Dasara is an Executive Director at Impact Analytics and a recognised leader in enterprise transformation, operating at the nexus of advanced analytics, AI, and product strategy. With over 15 years of experience spanning analytics consulting, product implementation, and leadership across retail, CPG, pharma, insurance, and technology sectors, Swapna has built a career enabling global organizations to harness data for large-scale business impact.
At Impact Analytics, Swapna leads AI-powered SaaS product initiatives for planning, forecasting, and merchandising that empower category-leading retailers to make data-driven decisions, optimize inventory and pricing, and accelerate growth. As a core member of the leadership team, she drives the company’s strategic growth while embedding sustainability and operational excellence into its AI platforms, helping global clients unlock new opportunities through digital transformation and intelligent automation.
Before joining Impact Analytics, Swapna was a key member of the India Leadership Team at Mu Sigma, where she led a 150+ member analytics team serving Fortune 50 clients across the US, UK, and EMEA. She was instrumental in delivering advanced analytics projects across various industries, including pharma, retail, insurance, and technology, that drove revenue growth and fostered data-driven cultures. Her career began with foundational roles at IBM and Tata Consultancy Services, where she built expertise in marketing analytics & research, and data-driven analytics strategy.
Swapna Dasara
Trusted by Leading Companies
In our clients’ own words
“Our partnership with Impact Analytics and the AI tools that we have at our disposal now really make possible the kind of leapfrogging of capabilities that we want.”
“We landed on Impact Analytics for 3 core reasons: culture, technology, and an intuitive interface that was easy to adopt.”
“We look forward to arming our internal teams with better, more efficient ways to process data, like MondaySmart. They can now synthesize what would have taken hours of meetings and shuffling through lots of financial reports into a succinct AI-powered dashboard and so much more in terms of inventory management and merchandising assortment.”
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