Build Rules for Trusted Data

Profisee data quality business and validation rules unlock a simple and user-friendly way to define, improve and enforce data quality.

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The Profise Platform unlocks the ability to…

Validate

Define data quality rules that can identify existing invalid data and prevent new data quality issues from being created.

Standardize

Easily integrate with third-party data services to standardize common data such as Businesses, Addresses, Names, Email Addresses, and Phone Numbers.

Enrich

Define rules to automatically perform data calculations and assignments. Leverage third party data services to enrich the information you already have.

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Shift from REACTIVE to PROACTIVE

Business and validation rules unlock the ability to proactively identify, highlight and correct data quality issues before they become a problem.

An end to ‘data clean-up’

Constraint rules provide the ability to prevent bad data from being created or to prevent users from updating records that do not meet minimum thresholds of quality.

Data quality metrics

You can’t improve what you can’t measure.

Data quality heat maps and analytics provide stakeholders with visibility into data quality trends to measure improvement over time.

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Discover the Profisee platform difference

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Harvard Business Review on the Path to Trustworthy Data

of executives say that having a strong master data management program is important to ensuring their future success.

of executives believe their organizations are underinvesting in their enterprise-wide data strategy.

of executives say their organizations rely on more than 6 data types that are essential to business operations.

of respondents who have employed MDM say their organizations' approach to MDM is moderately or very effective.

*Source: Harvard Business Review Analytic Services, June 2021

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