Case Studies | TransOrg Analytics

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Retail & CPG Analysed marketing effectiveness for Fortune 50 company with market mix modelling

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Retail & CPG Integrated dashboards to get insights on the fly for a leading FMCG client

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Banking Identified 40k affluent customers to cross-sell through income estimation model

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Banking Prevented customer frauds with 81% accuracy for a leading payments bank

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Life Insurance A life insurer improved detection of 13th month persistency for its ULIP customers

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Banking Analysed the performance and decline reasons of customers rejected by the bank but boarded in competing organizations.

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General Insurance A workman insurance provider wanted to identify policy holders with higher propensity to apply for claims. Based on the analysis, targeted claims reduction programs were implemented

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Hospital & Healthcare Store clustering and adjacency analysis for a leading pharmacy chain to improve merchandizing strategy and inventory policy

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Retail & CPG Market basket analysis and campaign analytics for a large, branded sports merchandise client

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Banking Developed a comprehensive database for the client’s customer exclusion (negative dedupe) process.

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Banking Bank leveraged cross sell models to enhance the customer relationship

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Banking Developed the collections strategy for different defaulting customers of a leading Indian bank

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Banking Increase Credit Card portfolio and spend by implementing a structured campaign management strategy

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Banking Developed an Expected Credit Loss (ECL) forecasting model for a leading Indian bank for their entire portfolio

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Banking Analytics for collections strategy for a leading Indian bank

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Retail & CPG Integrated brand health dashboards for India’s oldest FMCG company

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Banking Anomaly detection model to predict frauds and defaults for a leading payments bank

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Retail & CPG Demand forecasting for a leading FMCG company

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Retail & CPG Analytics and segmentation of retailers for CPG division of pharma company

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Banking An Indian national banking partner identified 40k potential affluent customers from our income estimation model’s prediction

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Retail & CPG Market Mix attribution modelling for fortune 50 FMCG giant

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