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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Mitigating Investigation Risks: The Essential Role of Data Profiling and Cleansing
In 2024, National Public Data, a prominent background check and fraud prevention service, made headlines for all the wrong reasons. Over 2.7 billion records containing
Why Data Quality Is the Foundation of Effective Compliance in Security and Investigations?
Imagine a fortress where every brick represents a piece of your organization’s data. Now, picture some bricks riddled with cracks and inconsistencies. Despite its imposing
Mitigating Investigation Risks: The Essential Role of Data Profiling and Cleansing
In 2024, National Public Data, a prominent background check and fraud prevention service, made headlines for all the wrong reasons. Over 2.7 billion records containing
Why Data Quality Is the Foundation of Effective Compliance in Security and Investigations?
Imagine a fortress where every brick represents a piece of your organization’s data. Now, picture some bricks riddled with cracks and inconsistencies. Despite its imposing
How Data Deduplication Streamlines Investigations and Reduces Risk
In a survey conducted by Validity, 44% of the respondents revealed that duplicate data significantly impacted their ability to fully leverage their CRM systems. Now,
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