DataMatch Enterprise™ solution is a highly visual data cleansing application specifically designed to resolve customer and contact data quality issues. The platform leverages multiple proprietary and standard algorithms to identify phonetic, fuzzy, miskeyed, abbreviated, and domain-specific variations. Build scalable configurations for deduplication & record linkage, suppression, enhancement, extraction, and standardization of business and customer data and create a Single Source of Truth to maximize the impact of your data across the enterprise.
Intelligently integrate, link, and prepare data from virtually any source with DataMatch Enterprise – your software toolkit for code-free profiling, cleansing, matching, and deduplication.
Prepare Clean, Consistent Data Across the Enterprise
How It Works
Data Discovery and Profiling
Product and item data has ever been the bane of data quality platforms, requiring manual effort to accurately make sense and bring structure to it. With ProductMatch, experience human decisions at computer speed. Data Ladder’s advanced semantic recognition technology processes product data at lightning speeds from disparate data sources, understands its context, and helps you make decisions easily by accurately matching, categorizing, and naturally deriving complex product hierarchies. From cleanup to consolidation, ProductMatch will get your data right.
Data Cleansing Done Right
Data Quality Firewall
Prevent bad data from entering your systems with a powerful data quality firewall for perimeter protection across third-party and custom applications. The DataMatch Enterprise API splits and cases names and addresses, generates match keys for phonetic matching, and uses probabilistic language models so you can get the most accurate matches – at unprecedented speeds. All matching records are graded to help you refine the process with the human touch as and when needed. Get started with preventative data quality to match within or across systems and applications in real-time.
Handling Difficult Search Problems
From spelling errors to redundancies, the platform works through many of the common issues found in large amounts of data.
- Missing letters: “Hammer” or “Hamer”
- Variations: “Vinne Smith” or “Vinny Smith”
- Extraneous letters: “Folder” or “Folder”
- Incomplete words: “Cleaners” or “leaners”
- Incorrect fielding in fielded data sets: Larry Jones for Jones Larry
- Incorrect or missing punctuation: “World-class data” for “World-class data”
Address Standardization and Verification
Check the validity and deliverability of a physical mailing address to standardize and enrich your address lists for mailings. Correct addresses automatically, add missing information (such as a zip code or a suffix), and compare 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.
Have a specific data quality problem in mind?
Trusted by The World’s Best Companies
“DataMatch Enterprise – Powerful and Easy to Use”
It does a great job with data cleansing making the matching process even more powerful and being able to merge rows with very flexible rules for the final export is extremely helpful.
“My Go-To Databse Tool; Saves Time, Increases Efficiency”
DataMatch Enterprise is easy to learn and use. It’s easy to review results. Saves us tons of time in manually checking records.
Best Product Ever”
It makes our matching projects in a short amount of time and helps prove ROI to our clients.