Data Quality Review
Data Quality Assessment for Analytics and AI
Identify the data-quality issues that make reporting, analytics or a defined AI use case unreliable.
Starting at $499
Delivery target: confirmed after qualification and scope review.
Recognizable quality problems
- Important fields are incomplete.
- Duplicate records or inconsistent types affect analysis.
- Identifiers do not join reliably across sources.
- Ranges, values or definitions are unclear.
- Documentation is missing or out of date.
Who it is for
Small teams that need a focused assessment of whether existing data is usable for analytics or a defined AI use case.
Assessment focus
- Completeness
- Duplicates
- Type consistency
- Identifiers
- Ranges and validity
- Documentation
- Readiness for analytics or AI
What you receive
A written assessment covering the agreed data-quality dimensions: completeness, duplicates, type consistency, identifiers, ranges and validity, documentation, and readiness for the stated analytics or AI use case. Exact reviewed inputs and output scope are confirmed after qualification.
Boundaries and material handling
The public form collects qualification information only. Agreed materials are handled only after scope review. Data cleaning, implementation and larger integration work are separate from this focused review.
Illustrative example — not customer work
Illustrative assessment categories
Completeness → Duplicates → Identifiers → Validity → Documentation
Practical answers
Frequently asked questions
Can I upload a dataset with the form?
Do not send files, passwords, API keys, connection strings, production secrets, database exports, schema files, datasets or sensitive personal data through the public form. Instructions for securely sharing agreed materials are provided after the requested scope has been reviewed.
When are materials requested?
Only after the requested scope has been reviewed and a safe method for agreed materials is provided.
Is data cleaning included?
No. Implementation and data-cleaning work are scoped separately.
Why is delivery not a fixed number of days?
The target is confirmed after qualification because the agreed quality questions and material scope must be reviewed first.
Start safely
Qualification
Share enough context for an async fit review. The public form collects qualification information only.