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Implemented a distributed data lake architecture and advanced analytics on the AWS cloud platform to reduce IT costs and improve productivity

Revolutionizing Pharma Analytics with AWS Data Lake

The client is a multinational pharmaceutical company based in India. Moreover, the client deals in manufacturing and selling active pharmaceutical ingredients and pharmaceutical formulations in India and the US. Considered as one of the most reputed brands in India, the client has expanded with joint ventures and acquisitions in the last two decades.

  • Carried out a detailed requirement and due diligence study
  • Understood the client’s technology stack, infrastructure availability & business operation landscape
  • Recommended AWS infrastructure/instance, and AWS services considering scalability, performance, and cost
  • Created strategies for data migrations and AI/ML business use
  • Installed, configured, and tested the instances & services
  • Tested the deliverables platform and automated the process
  • Followed the PMBOK project management process and CRISP-DM process for the data analytics solution
  • AWS S3
  • AWS RDS
  • AWS Glacier
  • AWS Lambda
  • AWS Glue, ETL, and Data Catalog
  • AWS CloudWatch
  • AWS CloudTrail
  • AWS DynamoDB
  • AWS Quick sight
  • Amazon DMS
  • Amazon Kinesis
  • PostgreSQL
  • R
  • Python
  • Superset
  • DbVis Software

The new data architecture based on AWS Cloud benefited the client in multiple ways and helped to resolve the business challenge. The benefits in all the three phases were:

  1. Advanced analytical capabilities-driven on both structured and unstructured data with Enterprise search enabled for any data
  2. Machine Learning used to drive improvements and productivity
  1. Demonstrated connectivity to various databases from Presto
  2. Backed up email and uploaded data to the cloud
  3. Uploaded IoT data to the cloud
  1. Established connectivity from R/Python to Cloud Database/S3 using Libraries
  2. Enabled Presto/AWS Athena for data search or ad-hoc queries
  3. Migrated Tableau dashboard to Superset or AWS Quicksights or D3.J3

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If you’re looking to take your business to the next level with data science, we invite you to contact us today to schedule a consultation. Our team will work with you to assess your current data landscape and develop a customized solution that will help you gain valuable insights and drive growth.

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