Risks
- Legacy data lake built to confusion over the years with limited usability for consumers.
- An open-source based architecture became the bottle-neck as the data lake grew exponentially.
Measures
Adopted a cloud-first architecture and implemented a new data lake on AWS connecting over 40 source systems globally.
Adopted a cloud-based data integration solution that provided standard in the data operations.
Aligning SLAs across stakeholders led to process improvement like cutting down the lead time for new sources by 400%.
Results
Seamless transition from legacy to the new data lake.
Enhanced segmentation and campaign capabilities.
Connected services to activation through a unified custom profile.
