Every company is now a data company — but most data arrives fragmented, inconsistent and late. Companies that want to maintain market share need to capture, clean and conform their data before competitors do it first.
The three challenges
In integration engagements across industries, the same three obstacles appear.
- Capture: high-volume, high-velocity sources (events, IoT, SaaS APIs) overwhelm batch-era tooling — streaming ingestion closes the gap.
- Clean: duplicate, incomplete and contradictory records erode trust — automated validation and deduplication must run in the pipeline, not in spreadsheets.
- Conform: without shared schemas and master data, every department computes its own version of the truth.
Where to start
Start with one high-value domain — customers, orders, or finance — and build the capture-clean-conform loop end to end. Prove value, then scale the pattern. Our data engineering team has turned this playbook into repeatable accelerators that compress months of integration work into weeks.