<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Sandip Dogra — Insights &amp; Case Studies</title><description>Sandip Dogra is a Bangalore-based business analytics leader (12+ yrs; Porter, Zepto, Meesho, Ola) building self-serve, governed and AI-native analytics.</description><link>https://sandipdogra.com/</link><language>en-in</language><item><title>Growth, pricing and lifecycle analytics at Ola</title><link>https://sandipdogra.com/case-studies/ola-growth-pricing-analytics/</link><guid isPermaLink="true">https://sandipdogra.com/case-studies/ola-growth-pricing-analytics/</guid><description>Lifecycle, referral, pricing and fraud analytics that drove 12% revenue growth, a 65% CAC reduction and a 6% lift in bottom-line profit.</description><pubDate>Sat, 05 Sep 2026 00:00:00 GMT</pubDate><category>Pricing analytics</category><category>CLM</category><category>Growth</category><category>Fraud detection</category></item><item><title>One source of truth for 1,500+ users: scaling BI at Zepto</title><link>https://sandipdogra.com/case-studies/zepto-bi-platform/</link><guid isPermaLink="true">https://sandipdogra.com/case-studies/zepto-bi-platform/</guid><description>Building a 26-member analytics team and a BI platform across 270+ KPIs during Zepto’s hyper-growth, with governance that raised data accuracy by 40%.</description><pubDate>Fri, 04 Sep 2026 00:00:00 GMT</pubDate><category>BI platform</category><category>Team building</category><category>Data governance</category><category>Forecasting</category></item><item><title>Supply, risk and customer-experience analytics at Porter</title><link>https://sandipdogra.com/case-studies/porter-supply-risk-cx/</link><guid isPermaLink="true">https://sandipdogra.com/case-studies/porter-supply-risk-cx/</guid><description>Forecasting, a supply-performance score and risk analytics that lifted Fulfillment Rate by 4% and cut Tickets per Order from 4 to 0.6.</description><pubDate>Thu, 03 Sep 2026 00:00:00 GMT</pubDate><category>Forecasting</category><category>Supply analytics</category><category>Risk &amp; fraud</category><category>Customer experience</category></item><item><title>AI-native analytics: grounding LLM agents in governed metrics with MCP</title><link>https://sandipdogra.com/case-studies/ai-native-analytics-mcp/</link><guid isPermaLink="true">https://sandipdogra.com/case-studies/ai-native-analytics-mcp/</guid><description>Connecting LLM agents to a governed metric store through the Model Context Protocol so teams can self-serve analytics conversationally.</description><pubDate>Wed, 02 Sep 2026 00:00:00 GMT</pubDate><category>AI-native analytics</category><category>MCP</category><category>LLM agents</category><category>Metric store</category></item><item><title>From ad-hoc reporting to self-serve analytics at Porter</title><link>https://sandipdogra.com/case-studies/self-serve-analytics-porter/</link><guid isPermaLink="true">https://sandipdogra.com/case-studies/self-serve-analytics-porter/</guid><description>How a Metric Store and Semantic Reporting Layer cut SQL-to-insight from 4 days to 2 hours and reduced ad-hoc report requests by 90%.</description><pubDate>Tue, 01 Sep 2026 00:00:00 GMT</pubDate><category>Self-serve analytics</category><category>Metric store</category><category>Semantic layer</category><category>Data governance</category></item></channel></rss>