Data Quality Consulting for Your Business
Data quality consulting services stop silent data errors from reaching reports. Omeiro adds Great Expectations tests and alerts for missing rows, schema drift, null spikes and late warehouse syncs.
What data quality consulting looks at
The main areas we work through. The exact scope depends on your package and is agreed before we start.
Clean-up
- Duplicates
- Typos and formats
- Empty fields
Checks
- Rules per column
- Counts before and after
- Sample review
Output
- One clean file or table
- Change log
- Field notes
Keep it clean
- Simple input rules
- Repeatable steps
- Who checks what
What we cover The exact scope depends on your package and your data, and is agreed before work starts.
What you get with data quality consulting
Catching silent data corruption. Real-time alerting for missing rows, schema drifts, null spikes, and delayed warehouse syncs via automated Great Expectations tests.
Basic Package
20 data quality tests (nulls, freshness, row counts) on 5 tables; Slack alerts. 3-day delivery, 2 revisions.
Standard Package
60 tests on 20 tables, schema drift checks, alert routing; docs. 6-day delivery, 2 revisions.
Premium Package
150 tests, quality dashboard, incident runbook; 30 days support. 10-day delivery, 2 revisions.
Clear brief first
We confirm what you need before work starts, so the scope is clear on both sides.
Revisions listed
Each package shows its revision rounds. A round is one list of changes sent together.
Yours once paid
Copyright of the final work passes to you once the order is paid in full.
Your data stays in your own accounts and tools wherever possible, and access is removed when the work is done.
How our data quality consulting works
Pick critical tables
We choose where errors hurt.
Write tests
Rules are coded.
Route alerts
Slack gets the right messages.
Respond
A runbook says what to do.
Data quality consulting: tests placed where failures start
Data quality consulting starts with the failures that cost you most: a revenue dashboard that is wrong, a marketing audience that is stale or a finance report that does not reconcile. We trace each to the tables and pipelines behind it and put tests where problems start. Share your warehouse, orchestration tool and examples of past incidents. Tests chosen for real failures give better value than hundreds of generic checks.
Alerts must lead to action. Good data quality consulting classifies tests by severity, routes alerts to the owner of the dataset and writes an incident runbook, so someone knows whether to pause a pipeline or only note an issue. Thresholds are tuned to stop alert fatigue. Over time, results show which sources break most often, which supports conversations with upstream teams.
In short
- Delivery in 3 to 10 days, by package.
- Fixed price, shown before you order.
- Teams whose dashboards sometimes show impossible numbers.
- Engineers wanting data observability implementation.
- Copyright yours after full payment.
Data Quality Consulting: common questions
How much does data quality consulting cost?
Prices are fixed and shown by package on our Data Quality Consulting pricing page, so you see the full price before you order. You can also ask for a custom quote.
How long does data observability implementation take?
Delivery depends on the package: Basic 3-day delivery; Standard 6-day delivery; Premium 10-day delivery.
What is included in the Basic Package?
The Basic Package includes: 20 data quality tests (nulls, freshness, row counts) on 5 tables; Slack alerts. Higher packages add more scope, revisions and support.
Can I get a custom data pipeline monitoring package?
Yes. If none of the packages fits, use the custom package form on our pricing page to describe what you need, and our team sends you a fixed price.
Do tests slow pipelines?
They add little time.
What is schema drift?
Unexpected changes to table structure.
Which warehouse works?
Common warehouses are supported.
Who gets alerts?
Whoever you choose in Slack.
What is data observability?
It is the practice of monitoring the health of your data, including freshness, volume, schema and distribution, so problems are found before users notice. It borrows ideas from application monitoring.
Who owns the final work?
Copyright of the final work passes to you once the order is paid in full. Paid fonts, stock files or licences, if used, are licensed in your name.
Ready to start your data quality consulting?
Compare the packages and pick the one that fits. Not sure which? Write to us and we will help you choose.