Building a Business Intelligence Platform with Multi-Source Data Integration in Redshift

About project:

Client overview

The client, a rapidly growing company, faced challenges in consolidating data from multiple platforms for unified reporting and analysis. Their existing setup resulted in data silos, limiting their ability to provide stakeholders with real-time, comprehensive insights essential for strategic decision-making.

Tech Stack:

Redshift, PySpark, Airflow, Amplitude API, AWS S3, Google Analytics, Salesforce API, RingCentral, Lever API, Looker

Time to deliver project:

7 weeks

Problem

  • The client needed to gather and centralize data from multiple platforms (Amplitude, AWS, GA, Salesforce, RingCentral, Lever) for improved reporting and insights. Data was scattered across different sources, creating silos and making it difficult to generate comprehensive, real-time reports for stakeholders.

Inspection

  • We conducted a thorough review of all data sources, identified integration points, and analyzed the volume and frequency of data updates. We also mapped the data fields to ensure consistency and alignment for Amazon Redshift storage and processing.

Resolution

We set up data pipelines from each source into Redshift, leveraging PySpark for large-scale data processing and Airflow for scheduling. Dashboards were developed for real-time insights. The project took 7 weeks and resulted in 30% improved reporting speed and enhanced decision-making capabilities.

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