Pipeline and ETL/ELT validation
Check that ingestion and transformations produce the expected records, calculations, and outputs.
TECHMOUNT / DATA TESTING
Trust the data behind every decision.
Reliable analytics and AI depend on reliable data. We test how data moves and changes across sources, transformations, warehouses, and downstream products so your teams can act on it with greater confidence.
Discuss your projectWHAT THIS COVERS
Data Testing, shaped around your goals.
Data quality and pipeline testing that catches issues before they reach dashboards, applications, or AI.
Source-to-target reconciliation
Compare records, counts, and business rules across systems to detect gaps and unexpected changes.
Data quality checks
Test completeness, validity, uniqueness, consistency, and freshness with rules tied to business meaning.
Automation and monitoring
Build repeatable checks into data workflows and make failures visible to the teams responsible for them.
OUR APPROACH
Begin with a clear outcome.
We map critical data flows, define quality rules with business owners, and automate checks where they provide the most useful signal.
COMMON QUESTIONS
What teams ask us.
What is data testing?
Data testing validates whether data is complete, accurate, consistent, and fit for its intended use as it moves through systems and transformations.
How is data testing different from software testing?
Software testing checks application behavior. Data testing checks the records, transformations, and quality rules that feed reports, products, and AI systems.
Can quality checks run within a data pipeline?
Yes. Assertions and reconciliation checks can run as part of a pipeline, with failures surfaced before problematic data reaches downstream users.
START A CONVERSATION
What could your team do next?
Tell us about your challenge, the systems involved, and what success would look like.