What problems is SAP Business Data Cloud solving and how is that benefiting you?
Consistent, production-like fixtures. We generate test datasets from the same semantic layer used by reporting, so our E2E checks stop failing on “two versions of truth.” Fewer flaky tests, faster triage. Faster end-to-end validation. Virtualized access lets CI spin up flows across SAP and third-party sources without staging copies, cutting setup time and eliminating stale-data bugs. Analytics-aware smoke tests. We compare key metrics pre/post-deploy via the shared layer and fail the build on statistically weird deltas, catching regressions hours, not days, after release. Scalable path to AI/perf work. When we need synthetic but realistic load, we push curated entities straight into Databricks jobs from BDC, then loop results back into our perf suites. Review collected by and hosted on G2.com.