Automated Data Quality Platform
Everyone agrees they need better quality data. Now you can finally make it happen with Profisee’s data quality tools.
Clean Your Data with a Data Quality Tool
Say goodbye to manual data clean-up. Leverage the most sophisticated data quality platform on the planet to not just get your data clean, but keep it clean for good.
Profisee: Your End-to-End Data Quality Platform
If you can write a formula in Excel, you can leverage the full power of Profisee’s data quality tools to define and manage validation and assignment rules. Here’s how our data quality platform works:
- Define rules:
- Automatically apply rules:
- Improve data quality:
Measure Your Progress
Profisee’s data quality management tool makes it easy to measure and track the quality of your data so that the business can see the value of data management.
Easily embed reports of address and email verification into any view or dashboard
Understand and communicate the effectiveness of data stewardship
AI-PoweredData Rule Management for Modern MDM
Create and manage data quality rules through an intuitive web interface. Our data quality solutions now come with API support to define thousands of rules at scale.
Programmatically generate thousands of rules in seconds
Maximize Data Quality at Scale
Empower stewards and admins alike with a SaaS-native experience for configuring and running rules—point-and-click for business users, API-driven for citizen developers.
Industry-Leading Data Matching
Learn how Profisee’s similarity graph matching engine streamlines data quality management.
Enrich and Validate with the Best Data Quality Tool
Profisee helps you make your data even better with integrations with best-in-class services like Google, Melissa, Loqate, Dun & Bradstreet and more.
Name: Damon Sharpe
Address: 1864 S Granby
State: CO
ZIP: 80012
Name: Damon Sharpe
State: CO
AS01: Address fully verified – address is valid and deliverable according to official postal agencies. CM01: COA Match: A COA was found for…
Frequently Asked Questions
What is data quality?
In the context of MDM, data quality is a measure of whether enterprise data is fit for its intended use or purpose or if it correctly represents the real-world construct it describes. Organizations often ensure enterprise data is free of duplicates, is consistent, conforms to various standards/formats and accurately meets specific requirements.
What do I need data quality tools?
Data quality tools help detect and resolve problems across key dimensions of enterprise data. The data quality issues include:
- Uniqueness, ensuring no duplicate data assets exist
- Consistency, maintaining uniformity across data pipelines
- Precision, capturing data at the right level of detail
- Conformity, aligning with required formats or standards
- Timeliness, keeping data lineage up to date
- Accuracy, correctly representing real-world entities
- Validity, ensuring data meets defined rules
- Integrity, maintaining reliable relationships between datasets
Data issues in any of these areas can lead to costly problems. For example:
- If a customer’s address is outdated, you might send important correspondence to the wrong location.
- If the address doesn’t conform to postal standards, the mail might be undeliverable or sent to the wrong recipient.
Data quality tools help you avoid these issues by continuously monitoring, validating, and improving the accuracy and reliability of your data.
What are the benefits of improving data quality with software?
There are countless benefits of improving data quality with software like Profisee. Some examples include being able to:
- Better predict fluctuations in sales throughout the year
- Reduce procurement costs from suppliers
- Maintain data compliance with privacy regulations like GDPR and CCPA
- Effectively manage risk when making short- and long-term decisions
What is data validation and why is it important?
How does Profisee MDM help organizations improve data quality?
Profisee MDM offers a number of features to help organizations and data teams improve and maintain quality:
- Features like match, merge and survivorship let users break down data silos and enrich records.
- A native, bidirectional integration with Microsoft Purview supports unified data governance by enforcing governance standards and remediating deficient data.
- Data quality monitoring: Profisee also supports integrations with services like Google and Dun & Bradstreet for data enrichment and validation.
With Profisee’s automated data quality, now you can…
