Objective

A US-based boutique, pioneer in alternative data-driven research wanted to generate periodic and ad hoc reports using alternative data, and help evaluate the quality and suitability of data provided by alternative data vendors

Challenges
 

• Manually intensive process to generate ad hoc reports.
• Leveraging alternative data required significant remediation ahead of use.
  
  

Approach
 

• Analyzed new data to generate signals relevant to the telecom and media sectors.
  
• Automated data processing and optimized data pipelines to limit manual intervention.
  
• Analyzed additional external vendor data for quality and suitability for research purposes.
  
• Used Apache Spark, AWS Redshift, Tableau, and alternative data from external vendors in solution implementation.
  

Impact
 

• Automated processing of alternative data (credit and debit card transactions, POS data), trend analysis and generation of insights.
  
• Supported movement from legacy RDBMS to Apache Spark-based platform.
  

Questions

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