Success Stories

Built a Scalable, Personalized Digital Solution to Boost Customer Engagement for a Major Asset Management Company

About the client

Largest Asset Management Firm


  • The growing volume and complexity of data necessitated an efficient data ingestion and processing solution.
  • Maintaining a scalable and high-performance data warehousing system.
  • Need for real-time or near-real-time data updates to ensure that insights are based on the latest information.
  • Developing and deploying machine learning models for personalization and recommendations
  • Creating actionable insights through visualizations to enable data-driven decision-making accessible to the business team.


  • The proposed solution involved a comprehensive approach to data management and analytics on AWS. Data ingestion and processing were seamlessly executed using AWS Glue, with Amazon Redshift serving as the data warehousing solution.
  • Lambda-based triggers were employed to automate and ensure the timely updates of data throughout the pipeline.
  • For personalization and recommendation, an ML model was developed and hosted on AWS, harnessing the power of Amazon SageMaker.
  • To derive actionable insights, visualizations, and interactive dashboards were created in Tableau, catering to the core business team's requirements.
  • This holistic architecture guaranteed a smooth data flow, advanced analytics capabilities, and data-driven decision-making, all while capitalizing on AWS's core strengths, including scalability, security, and user-friendly interfaces.


  • Created the data ingestion and data processing solution on AWS leveraging AWS Glue, Redshift, and lambda-based triggers
  • Created the ML model on AWS for personalization and recommendations
  • Visualizations on Tableau for core business team

Impact Delivered


Reduction in Data availability Time


Reduction in overall execution timelines

Tech Stack

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