CONSULTING SERVICES
Turn data requirements into repeatable checks.
Define explicit validation rules and implement automated verification before bad data pollutes downstream operations.
THE CHALLENGE
Preventing silent data corruption
Data validation evaluates whether a given dataset satisfies its explicit contracts, such as mandatory attributes, allowed category enumerations, numerical bounds, and cross-record uniqueness.
Without automated checks, invalid entries pass silently into downstream analytics and core transactional systems, creating expensive corrections later.
SCOPE & TOPICS
Candidate validation scope
- Mandatory presence: Identifying null or empty values where business rules require data.
- Type & Format: Validating dates, ISO timestamps, currency codes, and string patterns.
- Range & Bounds: Enforcing numeric thresholds, zero-floors, and percentage limits.
- Uniqueness & Keys: Enforcing primary key integrity and identifying duplicate records.
SOFTWARE CONNECTION
Data Validation tool
We build bespoke local-first validation tools for your rules, or run the validations ourselves from files and rules you supply.
Discuss validation consulting
Let's discuss how to turn your data acceptance criteria into repeatable checks.