From slow data to real-time insight: PostNL builds scalable data strategy
Data Solutions
The challenge
Outdated, slow data flows and a Data Warehouse that no longer matched the speed of the operation. Slow load times, manual ETL processes, limited flexibility, no reusable data layer, lots of duplication.
Our approach
Migration from Azure to AWS. Setting up reusable data structures. Use of AWS Glue, Redshift, S3 and Pentaho. Rebuilding ETL pipelines. Design of DWH layers. Visualization via Power BI. Automation and governance.

context
As the largest mail and parcel carrier in the Netherlands, PostNL processes millions of transactions, shipments and customer interactions every day. To realize their data-driven ambitions, the underlying architecture had to be able to scale with them.
The impact
From bottleneck to business enabler. Faster load times, reusable data assets, better BI performance, future-proof architecture, higher data quality.
Why this case matters
With future growth and digitization in mind, PostNL wanted to move from reactive reporting to proactive data-driven decision-making. Creating a scalable and standardized data platform not only increased operational efficiency, but also created room for innovation and better customer service.



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