Fix the data path behind a report or workflow.
We trace the sources, rules, and owners, repair the path, and put one tested dataset or workflow into production.
Book an architecture review- Best for
- Reports that disagree, pipelines that break, or source data AI cannot use reliably
- Starting point
- The report or workflow causing the most rework
- Typical pilot
- 2-4 weeks
- Decision at the end
- Keep, extend, revise, or replace the pattern after it runs
Every source passes a quality check before it reaches a dataset used by reporting, AI, or operations. Ownership, lineage, access, and cost stay visible along the way.
Follow the data from source record to delivered output.
Sources
- Customer and account data
- Financial and operational records
- Documents, exports, and partner feeds
Trust spine
- Bring source data into a controlled pipeline
- Test contracts, freshness, completeness, and business rules
- A documented, owned dataset ready for dependable use
Used by
- Consistent metrics and reporting
- Grounded workflows and model features
- Reliable data inside operating systems
This work needs
- An owner who can name the report or workflow that is failing
- Access to the sources and people who know the business rules
- A clear definition of correct, fresh, and ready to use
Not a fit: a lift-and-shift with no workflow owner, definition of quality, or team prepared to run it.
How the engagement runs
Three steps, then a decision.
Assess
Map the workflow, sources, owners, failure points, contracts, and rules that define correct data.
Ship
Put one tested, documented dataset or workflow into production.
Decide
Review reliability, use, and operating effort before extending the pattern or choosing the next repair.
Bring us the report your team no longer trusts.
We will trace the failure and define the smallest production fix worth making.