Build a foundation of trusted enterprise data with insights from Harvard Business Review Analytic Services.

66% of executives believe they are underinvesting in their enterprise data strategy
70% say their data strategies are falling behind their competitors
87% say master data management is important to their future success
2021 Gartner Magic Quadrant for MDM

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MDM Evaluation Template

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Build and ensure trusted enterprise data

Enforce governance standards, improve data quality and unify data across multiple systems to build a trusted data foundation of enterprise data with the Profisee multi-domain MDM platform.

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Identify and group sets of duplicate records using fuzzy matching logic to create a distinct set of data.


Automatically create and populate golden records with the best information available across source systems.


Logically combine duplicate records, and update source systems with that same logical merge.


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


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


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

The Profisee Platform Difference

The obvious choice for the Microsoft enterprise

Shared history, technology and vision make Profisee the obvious choice for the Microsoft enterprise.

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Microsoft Building

Just a few of our happy customers

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.

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