Synthetic data generation has become a practical requirement in modern software delivery. Teams need realistic, compliant datasets on demand – not as a “nice to have”, but as a way to ship faster while reducing privacy risk and improving test coverage.
But most organizations learn quickly that synthetic data generation doesn’t solve the problem by itself. The real challenge is operational: how synthetic data is prepared, governed, maintained, and delivered across environments and pipelines. In practice, synthetic data has to work in two places at once – design and deployment.
That’s the role of enterprise synthetic data management. It turns synthetic data into an operational asset that behaves like real data, preserves cross-system relationships, stays compliant, and is available when teams need it. Here’s what synthetic data management looks like in action – and how organizations move from isolated generation to scalable delivery with K2view. [Read more…] about From Design to Deployment: Synthetic Data Management in Action