Data Quality Checkerv1.0.1

A marketing team receives a CSV export of 50k customer emails before a campaign and runs the data-quality-checker to find duplicates, missing names, and malformed email addresses. The quality score and severity-ranked issues let them fix or suppress bad records before sending, protecting sender reputation. They use the JSON output to log the audit trail in their campaign tool.

A data engineer integrates the checker as a CI/CD step before loading JSONL event data into a warehouse, failing the build on critical issues and warning on minor ones. Exit codes 1 and 2 route alerts to Slack, while a generated schema prevents drift from breaking downstream dashboards. This keeps the analytics layer trustworthy without adding dependencies.

A clinical data manager validates patient CSV datasets for missing required fields, outliers in lab values, and type inconsistencies before analysis. The tool's schema validation enforces allowable value ranges and enums for treatment status. An audit-ready JSON report documents every finding for regulatory submission.

A merchandising team checks a JSON product feed for empty columns, whitespace in SKUs, and schema drift after a supplier migration. The quality score highlights which supplier feeds need rework, and the outlier check flags suspicious prices. Automating this via cron keeps the storefront catalog consistent.

An analyst validates transaction CSV files against a schema defining required account IDs and numeric amount ranges before reconciliation. Duplicate detection surfaces double-posted entries, while format checks catch malformed dates in settlement fields. The markdown report is attached to the month-end close checklist.

Sell a subscription that wraps the checker with hosted dashboards, historical trend tracking, and team alerting for engineering orgs. The core script remains open, but the hosted gate and integrations are paid. This creates recurring revenue tied to pipeline reliability.

Offer a productized service where consultants configure schemas, automate checks, and clean customer data files as a one-time or quarterly engagement. The checker is the delivery engine that makes the service fast and reproducible. Upsell to ongoing monitoring retainers.

License the checker as an embeddable API or SDK inside spreadsheet tools, CRMs, or BI platforms, so end users can validate imports without leaving the host product. Revenue comes from platform partners who pay for volume tiers. This drives distribution beyond direct users.