DataMatch Enterprise
Certified for security, quality, compliance and code integrity.
Features
Check out how DME works
Data discovery and profiling
The most important part of a data quality process is identifying potential problems in your organizational data. DataMatch Enterprise comes with an out-of-the-box profiling tool that quickly provides enough metadata to construct a cogent profile analysis of data quality across all datasets.
It highlights all cleansing, matching, deduplication, and standardization work that needs to be done to improve data quality. As the profile is generated within the same system that will be used to perform these activities, it becomes a central data cleansing hub for all kinds of data files.0
Data cleansing done right
Standardize your data and make it accurate, consistent, and unique. Use our built-in libraries, proprietary matching capabilities, and sophisticated pattern recognition features to clean and standardize your data at scale.
Our intuitive visual interface minimizes the number of clicks needed to complete a data cleansing and matching project, and is fully customizable according to your unique data quality project needs – both for real-time matching and batch-oriented. With our instant data preview feature, you can also preview the data as it is being transformed using data cleansing functions.
Data matching and deduplication
DataMatch Enterprise employs robust, real-time data matching algorithms, that work specifically on the nature of your data. If your datasets do not contain unique identifiers, or the information cannot be used to hide personally identifiable information, DME implements proprietary algorithms for phonetic, numeric, domain-specific, and fuzzy matching.
Moreover, you can tune level and weight variables of these algorithms to ensure maximum accuracy and least number of false positives. Once you have the data match results, you can start deciding which records to eliminate or merge to build a single source of truth at your company.
Address verification module
Check the validity of physical mailing addresses present in contacts databases. DME’s powerful address verification module corrects addresses automatically, adds missing information (such as a zip code or a suffix), and compares against a list of valid addresses to verify it.
Once it is verified, you can enhance each matching address with geocoding information automatically and add ZIP+4 level latitude and longitude values for the best in mapping precision – while improving deliverability with LACSLink® to convert rural addresses to street style addresses automatically.
API access for real-time DQM
All of DME’s data cleansing and matching features and functions are exposed through our standardized, RESTful API. You can simply access and integrate its benefits in any custom project to reap all the benefits in real-time.
This includes intelligent searching and profiling of large datasets, splitting and casing names and addresses, transforming and standardizing data values, applying phonetic, numeric, and fuzzy matching logic on data records, grading match results to make merge purge decisions, and more – all at unprecedented speeds.
processing speed
DME Performance on a dataset of 2M records
Features
What do you get with DME?
High performance
Exceptionally high performance and scalability features, allowing tons of data to be cleansed, matched and processed on demand.
Quick implementation
Simply download and deploy the application within minutes with the help of our guided installation wizard and start matching.
Intuitive interface
A highly visual and intuitive interface made for business users, IT specialists, data analysts and scientists, as well as novice users.
Robust matching technology
Rated faster and more accurate than IBM and SAS, DME consistently had the least number of false positives in independent studies.
Seamless integration
Readily integrate the world’s fastest and most accurate data quality features into your custom-built or third-party applications.
Real time syncs
Compute exact, fuzzy, and intelligent matches in real-time, across and within multiple data sources at blazing speeds.
Solution
One solution for all data quality problems
Quick data profiling
Master record selection
Workflow orchestration
Advanced filtering
Instant and live data preview
Record Linkage and Deduplication
Phone number standardization
Bulk cleansing and standardization
Email address cleansing
Seamless data integration
Cross-column matching
Pattern matching and recognition
Customer Stories
See what our customers say...
It’s not just the software which works very well for us, but the focus and knowledge that Data Ladder brings to the table
Thanks to Data Ladder we successfully cleaned up and matched our internal sales file with new leads, greatly improving efficiency and sales.
We could not do these reports before. Now, DataMatch has become a main staple in my suite of tools that I work with
Want to know more?
Check out DME resources
Merging Data from Multiple Sources – Challenges and Solutions
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Frequently asked questions
Got more questions on DataMatch Enterprise?
DataMatch Enterprise has been independently proven faster and more accurate than IBM and SAS, finding 5-12% more matches across 15 comparative studies with the fewest false positives. Unlike IBM InfoSphere and SAS Data Quality that require extensive configuration and months of implementation, DME offers a code-free interface deployable in minutes. Organizations achieve comparable or superior matching accuracy at a fraction of the complexity and cost.
DataMatch Enterprise uses proprietary algorithms that find 53% more matches than tools like WinPure, which relies on basic truncated encoding. DME handles complex scenarios (out-of-order text, fused words, multiple errors) that competitors miss, processes 2 million records in 2 minutes with 96% accuracy, and deploys in minutes versus months required for Informatica MDM or Talend. It also includes CASS-certified address verification and API integration capabilities—features often missing or requiring separate modules in competing platforms.
Yes. The visual, code-free interface allows business users, data analysts, and marketers to profile, cleanse, and match data independently without IT support. Technical users benefit from advanced features like customizable algorithms, RegEx pattern recognition, cross-column matching, and RESTful API integration. This eliminates the typical divide between “easy but limited” and “powerful but complex” tools.
DataMatch Enterprise installs and becomes operational within minutes via guided wizard, versus months or years for Informatica MDM, IBM InfoSphere, or SAP MDM. Organizations complete their first deduplication project within a day and achieve ROI within the first month. This rapid deployment provides enterprise-grade capabilities with no extensive planning, stakeholder alignment, or infrastructure changes required.
Yes. DataMatch Enterprise offers API access to integrate data cleansing and matching functions into custom applications and data pipelines. The API enables data profiling, parsing, standardization, fuzzy matching, and merge-purge operations. Organizations can start with the stand-alone desktop application for batch processing, then expand to API integration for automated workflows—flexibility that pure cloud services or desktop-only tools cannot match.
DataMatch Enterprise holds CASS certification from USPS for address verification—a critical requirement many competitors lack. It’s also certified for data security standards, making it suitable for government agencies, financial institutions, healthcare organizations, and other regulated industries handling sensitive PII. These certifications ensure compliance that uncertified open-source or budget tools cannot provide.
DataMatch Enterprise serves government agencies (Department of Industrial Relations), Fortune 500 companies (Hewlett Packard, Grainger, Zurich Insurance), and organizations across healthcare, finance, education, retail, and marketing. It scales from small teams processing thousands of records to enterprises managing millions daily. Flexible licensing makes it suitable for mid-market companies seeking enterprise capabilities without enterprise complexity.
Choose DME when you need proven accuracy and reliability that in-house projects and open-source tools cannot match. In-house solutions fail due to algorithm complexity and lack of ongoing development resources, while open-source tools (FuzzyWuzzy, RecordLinkage) require significant coding expertise and lack CASS certification or US-specific validation. DME provides 20 years of algorithm refinement, matching technology outperforming IBM and SAS, professional support, and continuous updates—delivering better results faster at predictable cost.