Objective
To establish a scalable analytics function at ClassKlap, an EdTech startup focused on improving learning outcomes in affordable schools across India. The goal was to design a long-term roadmap for tracking and enhancing key organizational KPIs across product, sales, marketing, and customer success, enabling data-driven decision-making at all levels.
Strategy
Develop a centralized data and analytics ecosystem that integrated business intelligence, machine learning, and data governance.
Key priorities included:
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Automation & Visualization: Replace manual reporting with interactive BI dashboards for real-time decision-making.
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Unified Data Infrastructure: Consolidate data from multiple systems to create a single source of truth.
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Analytical Enablement: Build frameworks and train teams to foster a data-first culture.
Implementation
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Established the analytics function from the ground up and defined its roadmap aligned with business goals.
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Designed and deployed 20+ automated dashboards using Zoho Analytics and Google Data Studio, improving visibility into sales performance, customer service, and operational metrics.
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Built analytical frameworks for key business functions — opportunity sizing, feature prioritization, pricing, incentives, collections, and profitability tracking.
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Contributed to the ‘Visor’ data warehousing initiative, aggregating data from CRM, supply chain, customer service, and finance systems into a unified Metabase BI environment for a 360° customer view.
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Supervised the development of a machine learning model that used unified data to predict customer retention, increasing retention rates by 19%.
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Developed the company’s first zero-cost CRM solution using Google Suite and App Scripts, later transitioning to Zoho CRM for scale.
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Led a third-party impact study (sponsored by MSDF) to measure the product’s effect on student learning outcomes.
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Conducted training workshops to increase analytics adoption among sales and service teams, improving organizational data literacy.
Outcome
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Transformed ClassKlap into a data-driven organization, with analytics embedded across business functions.
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Improved sales productivity, customer service responsiveness, and strategic decision-making through automated insights.
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Increased customer retention by 19% via predictive analytics.
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Established a robust data foundation (Visor) that continues to power business intelligence and product innovation.
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Strengthened investor confidence through impact measurement and transparent reporting.
