A client faced significant challenges managing extensive Marketing and Commerce datasets with a small data team. They implemented an automated solution for data ingestion, validation, and anomaly detection, which improved data quality, reduced team size, and speeded issue resolution times.
What’s inside
- Data Quality Management: Overcome issues with data from various vendors and transformed BI views.
- High Volume Data Transfer: Efficiently handle daily data transfers exceeding 50TB.
- Multiple Data Sources: Integrate and manage data from over ten sources.
- On-Prem Solution Requirement: Implement an effective on-premises solution.
- Vendor Management: Streamline data management across multiple vendors.