Breaking down data silos: How a growing company built a unified data platform

A growing company was struggling with a fragmented data landscape. They lacked a central repository for product usage data, usage patterns, and performance metrics, hindering their ability to share valuable insights with internal teams and external partners or clients. This reliance on manual data collection and reporting processes proved to be increasingly unsustainable as the business scaled, creating a bottleneck for efficient decision-making and collaboration.

Industry: Technology
Capability: Data Engineering
Core Business: Products and Services
Solution: Product Analytics
Geography/Presence: NA
Tech Stack: AWS, EMR, Snowflake, Airflow, dbt

Building a scalable data platform for collaboration

To overcome their data silos, the company implemented a modern data platform built on a data lake architecture. This architecture adheres to the medallion structure, ensuring data is organized and processed in a consistent and efficient manner. A key component of the solution was a configuration-driven data ingestion framework. This framework automates the creation of data ingestion tasks, seamlessly transferring raw data into the “bronze layer” of the data lake.  Furthermore, the solution leveraged reusable data pipelines for data ingestion, curation, and consumption. This approach, built on the principles of “build, test, and deploy,” ensures reliable and repeatable data flows throughout the data lake.

The results:

Featured Client Outcomes