Large Pharmacy Retailer Campaign Data integration
An automated script was created to regularly collect, clean, and organise campaign data from different sources into one place, with older data safely archived and the process running automatically on a set schedule.
Key Challenges:
- Integrating campaign data from multiple, disparate sources.
- Handling missing, inconsistent, or miscellaneous data values.
- Managing varying data formats, including inconsistent date formats and differing label names.
- Ensuring timely and automated data synchronisation without manual intervention.
- Archiving outdated data to maintain performance and relevance in analytics.
Our Solutions:
- Developed a Python-based solution to establish unified connections with all data sources.
- Implemented robust data transformation pipelines to standardise formats and handle missing or inconsistent values.
- Configured the Python script to run at regular intervals, enabling fully automated and timely synchronisation of campaign data.
- Archived older data periodically to optimise storage and maintain a clean dataset for analysis.
- Consolidated and stored the cleaned and structured data in Google BigQuery, enabling centralised access for analytics and reporting.
