Modern organizations exchange massive volumes of data every day with customers, vendors, partners, suppliers and internal teams. That data fuels everything from marketing and fulfillment to analytics and compliance.
The catch? Before data can be trusted, it has to be validated, cleansed, standardized and enriched. That sounds simple in theory. In practice, it’s a moving target.
File formats change. Columns get added, removed or reordered. New data fields appear with little notice. Short-term initiatives pop up. Systems evolve. Meanwhile, data stewards are expected to ensure accuracy, consistency and usability while technical teams scramble to keep pipelines from breaking.
So how do you balance automation with flexibility … (click to read more)