Your data pipeline isn't broken.
Your data is.
Dashboards lie when the data underneath them is wrong. The BayesIQ Audit Kit finds every issue, scores the damage, and hands you production-ready fixes — before bad data becomes a bad decision.
12+ automated checks · 0–100 reliability score · Production artifacts in minutes
The 0–100 reliability score
Every audit produces a single number that summarizes data health. Starts at 100, deducts based on finding severity and volume.
90–100: Production-ready
Minor issues only.
70–89: Usable with caveats
Fix high-severity items first.
50–69: Remediation required
Significant issues before production use.
Below 50: Serious problems
Schema and key issues need immediate attention.
Who this is for
The Audit Kit is built for teams that need to understand their data before they can fix it.
Data Team Leads
You need a baseline before you can prioritize. The audit gives your team a scored starting point and a ranked remediation plan.
Engineering Managers
You inherited a pipeline and don’t know what’s broken. The audit finds every issue and quantifies the risk.
Analytics Engineers
You’re planning a migration and need to know what’s wrong before you move. The audit documents every assumption.
What you walk away with
Five artifacts. Each one leads with a business outcome, not a file name.
A score your exec team understands
Scored Audit Report
0–100 quality score, executive summary, remediation priorities.
A production dbt project, not a prototype
dbt Project
Staging models, mart models, 40+ schema tests, source defs.
A dashboard your team can use on day one
Streamlit Dashboard
Interactive charts, sidebar filters, metric breakdowns.
Documented assumptions your team can sign off on
ASSUMPTIONS.md
Schema, quality, temporal, entity assumptions.
Metric definitions everyone agrees on
METRICS.md
Definitions, known discrepancies, dimensional cuts.
How it works
Six stages. Raw data in, scored findings and production artifacts out.
Schema Profiling
Column-level analysis — data types, null rates, cardinality, value distributions. Auto-detects column roles.
Quality Checks
12+ automated checks — duplicates, schema drift, null spikes, naming conventions, timestamp gaps. Every finding severity-ranked.
Metric Validation
Recomputes your reported KPIs from raw data. Flags discrepancies between what's reported and what the data shows.
Report Generation
Severity-weighted 0–100 score. Executive scorecard, remediation plan with effort estimates, findings ranked by severity.
dbt Project
Staging models, mart models, 40+ schema tests, and source definitions. Ready to run dbt build.
Dashboard & Docs
Streamlit app with filters and charts, plus ASSUMPTIONS.md and METRICS.md documenting every decision.
12+ automated quality checks
Every check produces severity-ranked findings. These four catch the issues that cost the most money.
Duplicate Keys
Duplicate values in columns that should be unique identifiers.
Schema Drift
Missing columns, unexpected values, or required nulls vs. contract.
Metric Discrepancies
Reported KPIs diverge from recomputed values.
Null Key
Null values in key/identifier columns.
Show all 8 additional checks
Duplicate Rows
Exact duplicate row detection.
Near-Duplicate Rows
Rows identical on all fields except key columns.
Missing Key Column
Expected key columns not present.
Inconsistent Naming
Mixed casing and formats.
Future Timestamps
Timestamps dated in the future.
Timestamp Gaps
Large gaps between consecutive events.
Negative Values
Unexpected negatives in non-negative columns.
Out-of-Range Values
Values outside expected bounds.
12+
Automated checks
168
Tests per audit
7
Broken metrics found in a single audit
80%
Reduction in metric debugging time
Engagement tiers
Start with a diagnostic to see if there's a problem. Scale up when you're ready to fix it.
Diagnostic
$7.5K
Scored audit report, executive summary, and ranked remediation plan. Know what's broken and how bad it is.
Audit + Plan
$25K
Full audit plus dbt project, Streamlit dashboard, and documentation artifacts. Everything you need to start fixing.
Full Implementation
$30–45K
Audit, plan, and hands-on remediation. We fix the issues, deploy the models, and hand you a clean pipeline.
Your data has a score. Find out what it is.
Book a call to scope a full audit, or request a sample report to see what the Audit Kit produces.
Book an Audit