Identity and remove duplicates in virtually any data source using world-class data deduplication software. Our proprietary algorithms help you quickly find fuzzy, phonetic, mis-keyed, numeric, abbreviated, and domain-specific matches. Rated world’s fastest and most accurate deduplication software.
Solution Capabilities | |
|---|---|
Match Accuracy (Between 40K to 8M record samples) | Data Ladder: 96% IBM Quality Stage: 91% SAS Dataflux: 84% In-House Solution: 65-85%* |
Software Speed | Data Ladder:
Very Fast IBM Quality Stage: Fast SAS Dataflux: Fast In-House Solutions: Slow |
Purchasing / Licensing Costing | Data Ladder
80 to 95% Below Competition IBM Quality Stage $370K+ SAS Dataflux In-House Solutions $250K+ |
Time to First Result | Data Ladder:
15 Minutes IBM Quality Stage: 2 Months+ SAS Dataflux: In-House Solutions: 3 Months+ |
Features of the solution | Data Ladder | IBM Quality Stage | SAS Dataflux | In-House Solutions |
|---|---|---|---|---|
Match Accuracy
(Between 40K to 8M record samples) | 96% | 91% | 84% | 65-85%*
|
Software Speed | Very Fast | Fast | Fast | Slow |
Purchasing / Licensing Costing | 80 to 95% Below Competition | $370K+ | $220K+ | $250K+ |
Time to First Result | 15 Minutes | 2 Months+ | 2 Months+ | 3 Months+ |
Comments | Above tests were completed on 15 different product comparisons with university, government, and private companies (80K to 8M records). This includes the effect of false positives. | Need multi-threaded. in memory, no-SQL processing to optimize for speed and accuracy. Speed is important, the more match iterations you can run, the more accurate your results will be. | Includes base license costs. 2014 prices or later, in-house, includes salary + benefits. Note in-house implementations had a 10% chance of losing in-house personnel, so over 5 years half of the in-house implementations had lost the core member who ran and understood the matching program. | A metric for ease of use. This is the time to first result, not necessarily full cleansing. |
Unparalleled matching accuracy and speed for enterprise-level data cleansing beating IBM and SAS.
Seamless integration with MongoDB and Hadoop-based databases for processing of 100 million+ records.
Mix of established and proprietary matching algorithms with a high level of matching accuracy.
Designed for both business and IT users, DataMatch allows you to match and cleanse data visually.
Data deduplication removes duplicate items from databases and lists either by matching records manually or using data matching algorithms to automatically detect duplicates. The purpose of deleting duplicate rows/records is to clean the underlying data set to achieve productivity improvements, save on duplicate mailings, and increase customer satisfaction. Manually deleting duplicates can be a time consuming and error prone task, which is why dedupe software is an essential tool for enterprise-wide data quality initiatives.
Not all duplicate removal tools are created equal though. Most dedupe software utilize fuzzy matching algorithms that go beyond exact matching to deduplicate accurately, but the accuracy and speed of matches vary greatly. Connectivity is another key concern – with most data duplication software allowing you to integrate with only a few common databases or excel files, whereas you need to dedupe across dozens of disparate sources spread through the enterprise.
You need a better, modern approach to data deduplication.
You need Data Ladder.
Full Name | Address | Email |
|---|---|---|
j smith | 10 Main Street, Springfield, 01234 | Jsmith#JSLwaw.com |
Jon Smyth | 10 Main Street | NULL |
jonathan smith Law Firm | 10 Main Street, Apartment 304 | NULL |
Full Name | Last Name | Address | Zip | City | Apt | Email | Industry |
|---|---|---|---|---|---|---|---|
Jonathan | Smith | 10 Main St | 01234 | Springfield | 304 | Legal |
Full Name | Jonathan |
|---|---|
Last Name | Smith |
Address | 10 Main St |
Zip | 01234 |
City | Springfield |
Apt | 304 |
Email | |
Industry | Legal |
Our industry-leading data cleansing software helps you find matching records, merge data, and remove duplicates using intelligent fuzzy matching and machine learning algorithms, regardless of where your data lives and in which format.
Improve your data quality with data cleansing and make it your competitive advantage.
Duplicate data causes confusions and wasted resources, costing business in the US more than $600 billion annually. Data dedupe software helps you minimize this cost by automatically finding duplicates in a database or across multiple databases and cleansing the data, thereby saving time and increasing the accuracy of customer data for better reporting, higher marketing and sales ROI, and improved customer relationships. Use Data Ladder’s data deduplication tool to detect and purge duplicates, or merge and survive data to build a ‘single source of truth’ using world-class fuzzy matching, intelligent parsing, and pattern recognition techniques.
Process 100 million+ records to find matches across and within virtually any data source (databases, data lakes, file formats, CRM, social media, etc.).
Merge the most complete information across duplicates, overwrite data from a master to other duplicates, and purge duplicates.
Avoid poor customer experiences caused by sending the same message multiple times or failing to personalize communication because of duplicates.
Intuitively match and enrich data in all popular formats and sources – no technical background required.
Reduce postage and mailing costs by eliminating duplicates from your database using advanced data matching technology.
Skip the manual process when combing legacy systems and cleaning old data and cut months off implementing a new system.
Enforce perimeter protection around your systems to prevent duplicates in real time, at the source, and consistently maintain the health of your data.
Automatically detect abbreviations, state names, email addresses, and other common field types and extract into separate fields.
With our in-memory processing architecture, test deduplication strategies while preserving your original data and choosing when and what to export.
Matching and deduplicating across data sources allows you to generate insights and business intelligence based on complete, accurate data.
Ensure successful system migration to your modern ERP, PIM, or CRM by automating data cleansing and deduplication.
Deduplicate and enrich data accurately with our built-in standardization libraries for nicknames, name variations, addresses, cities, and phone numbers.
Eliminate fragmentation in reports to strategize and spend better by purging duplicates
Ensure higher deliverability of marketing emails and direct mail by merging duplicates.
Find duplicate records for the same entity across multiple sources and create an enriched, master record.
