Machine learning based analytics and customer retention model for top EdTech unicorn

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“We’d like to build a cutting edge data engineering and analytics platform to help build customer engagement and retention.”

CHALLANGE 

  • Design & development of data aggregation and event processing architectures - Redshift, Kinesis, BigQuery.

  • ETL, database design and data pipelines - AWS Glue, Azure Data Factory.

  • Machine learning toolkit deployment and configuration - AWS SageMaker, Tensorflow etc.

  • Analytics & reporting tools- AWS Athena & QuickSight, Azure Insights.

SOLUTIONS

Assess

  • We undertook a 8 weeks deep dive to exercise to understand the client’s analytics needs, data landscape and gaps.

Assemble tool chain

  • We built a layered roadmap that helped the client address their data sourcing, mapping and aggregation steps first followed by a real-time analytics & reporting dashboard.

Automate

  • A team of 4 data engineers and analysts was deployed to build the solution from the ground up using AWS Glue, Athena, AWS Lambda, & API Gateway.

“We’d like to build a cutting edge DevOps capability to leapfrog competition and build a fully automated digital bank infrastructure.”

TOOLS AND TECHNOLOGY

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JOSIE LANE

Art Director

“We’d like to build a cutting edge DevOps capability to leapfrog competition and build a fully automated digital bank infrastructure.”