Data Validation & Enrichment
Fuel AI, analytics, and business operations with trusted data that’s accurate, complete, standardized, and reflects real-world context.
Bad data costs more than you think
Every decision your AI makes is only as good as the data behind it. Validate, enrich, and improve data quality to give AI and business operations a trusted foundation.
Increasing efficiency with a 25% drop in duplicate records
Schwan enhanced operational and cost efficiency by validating new customer addresses in real time.
Improve data quality at every stage
Uncover data gaps
Identify issues and resolutions by continuously profiling, measuring, scoring, and monitoring data quality.
Fix quality at scale
Define reusable rules to validate, standardize, and remediate data consistently across systems and pipelines.
Add context to your data
Give your models real-world context for better outcomes with AI-ready location, consumer, and business datasets.
Unlock trusted data for AI and analytics
Provide AI with accurate, complete data that drives more reliable outcomes by measuring and improving data quality, then adding real-world context.
Detect fraud and assess exposure
Uncover risk and identify potential fraud by validating identities, addresses, and other critical data, then enriching it with real-world information.
Build a complete customer view
Create a more complete view of each customer and improve every downstream use by matching, validating, and enriching customer records across systems.
EBOOKBuyer’s Guide to Choosing a Data Quality and Enrichment as a Service Vendor
Learn what to look for in a data validation and enrichment partner.
Explore more resources
Frequently asked questions
How does Precisely help improve data quality for AI?
Profile, score, fix, and monitor data quality in one place, so you can evaluate issues at the source and build a repeatable process that consistently feeds AI and analytics with trusted data.
Can we configure data quality rules to our own standards?
Yes. Define and configure reusable business rules around completeness, conformance, validity, and timeliness that reflect your specific data issues and risk tolerance, rather than generic, one-size-fits-all checks.
Do Precisely data validation & enrichment solutions work with our existing systems and tools?
Yes. Precisely data validation & enrichment solutions embed into your existing forms, applications, and pipelines. They work with modern cloud platforms like Snowflake, AWS, and Databricks, and include native add-ons for CRM and ERP systems including Salesforce, SAP, and NetSuite.
Do we have to replace our data quality platform?
No. Precisely solutions can complement your current quality platforms or replace them. Many teams start with a single workflow or dataset, then expand into profiling, scoring, remediation, and monitoring as they consolidate data quality onto fewer tools.
Can you validate and enrich my data in real time?
Yes. The Precisely solution can be accessed and run via API to validate, standardize, and enrich data as it enters your workflows. Inputs like names, phone numbers, emails, and addresses are corrected and made uniform before they reach downstream systems.
How accurate are your addressing and geocoding solutions?
Addresses are standardized, verified against authoritative sources, and geocoded to accurate rooftop-level coordinates. This ensures operational decisions that rely on location are based on trusted, consistent inputs.