About
We helped a digital marketing agency consolidate and analyze data from multiple sources to generate actionable insights for their clients. Our delivery used data warehousing, ETL tools, and APIs to streamline the data integration process. The result was an automated system that collects and stores data in a data lake and utilizes BI for easy visualization and daily updates, providing valuable insights to support business decisions.
Challenge, approach, and impact
Fragmented and Hard-to-Use Data
The client had valuable data spread across multiple systems and formats, making analysis, reporting, and visualization difficult. They needed a single centralized repository with daily updates and properly structured, aggregated data that could be easily used for dashboards and business insights without manual effort.
Data Quality Issues and Duplicate Records
The client’s databases were stored in separate locations and required manual review. In Amazon Redshift, duplicate IDs for transactions caused issues with updates and reporting accuracy. Without a reliable way to resolve duplicates and link records, the data could not be trusted as a foundation for decision-making.
How we built
Testimonials
Charlie White
LaFleur Marketing
“Their communication was great, and their ability to work within our time zone was very much appreciated.“
Team structure
Client team
Charlie White
Senior Software Developer Team Lead
The client stakeholders at LaFleur marketing were working closely with the team at Dataforest
Agency team
Product Manager
Production
Business Analytics
Production
Data Engineer
Production
