Objective

• Generate insights from alternative data by processing, automating, and analyzing merchant data and consumer transactions data
• Skills Required: Data Management, External Vendor Data Evaluation and Analysis, Data Visualization
  

CRISIL's solution

• CRISIL team works on large scale processing of alternative data e.g.: data from credit and debit card transactions, POS data, and e-mail receipts
• Carry out data cleansing and parsing, harmonization, exception handling and validation
• Automation of data processing alongside optimization to ensure no manual intervention
• Create analytics-ready databases
• Migration from legacy system to Apache Spark, thus enabling flexibility to add sources, entities, features
• Build and provide ongoing support for Reports, Dashboards, and Ad Hoc analysis using Tableau
• Analysis and insights generation from dashboards
• Platform used: Apache Spark, AWS Redshift, Tableau, Alternative data from external vendors
  

Client impact

• Usage of transactional data for substantiation of hypothesis
• Analyze new data and signals relevant for forecasting performance drivers
• Analysis of additional external vendor data for quality and suitability for investment research purposes
  

Questions

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