Vast and Complex Data Systems:
The sheer scale of data, running into petabytes across multiple global operations, made integration and processing a herculean task. The data quality issues associated with dynamic data sources posed as major challenge
Manual Overheads and Costs:
Manual data processes consumed more than 50% of the data team's resources, significantly inflating operational costs
Delayed Insights:
The absence of real-time data monitoring meant business insights were often outdated, leading to decisions that missed the mark by wide margins