Data Deduplication Software
Identity and remove duplicates in virtually any data source using world-class fuzzy matching logic to achieve productivity improvements, better mailing deliverability, and higher customer satisfaction.
|Features of the solution||Data Ladder||IBM Quality Stage||SAS Dataflux||In-House Solutions|
(Between 40K to 8M record samples)
|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.|
|Match Accuracy (Between 40K to 8M record samples)||Data Ladder: 96%IBM Quality Stage: 91%SAS Dataflux: 84% In-House Solutions: 65-85%*|
|Software Speed||Data Ladder: Very FastIBM Quality Stage: FastSAS Dataflux: Fast In-House Solutions: Slow|
|Purchasing / Licensing Costing||Data Ladder: 80 to 95% Below Competition IBM Quality Stage: $370K+ SAS Dataflux: $220K+ In-House Solutions: $250K+|
|Time to First Result||Data Ladder: 15 Minutes IBM Quality Stage: 2 Months+ SAS Dataflux: 2 Months+ In-House Solutions: 3 Months+|
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.
Data deduplication is the process of data removing 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 utilizes 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.
Transform Dirty Data
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|Jon Smyth||10 Main Street||NULL|
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Our industry-leading data deduplication software helps you find matches within and across data sources with 96% accuracy using proprietary fuzzy matching techniques, merge or purge duplicates, and build clean, consistent master data, regardless of where your data lives and in which format.
Improve your data quality with data deduplication 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.
Industrial-Strength Deduplication: Process 100 million+ records to find matches across and within virtually any data source (databases, data lakes, file formats, CRM, social media, etc.).
Build Your Master Data: Merge the most complete information across duplicates, overwrite data from a master to other duplicates, and purge duplicates.
Improved Customer Relationships: Avoid poor customer experiences caused by sending the same message multiple times or failing to personalize communication because of duplicates.
Flexibility Where You Need It: Intuitively match and enrich data in all popular formats and sources – no technical background required.
Cut Costs: Reduce postage and mailing costs by eliminating duplicates from your database using advanced data matching technology.
Save Time and resources: Skip the manual process when combing legacy systems and cleaning old data and cut months off implementing a new system.
Real-Time Duplicate Prevention: Enforce perimeter protection around your systems to prevent duplicates in real time, at the source, and consistently maintain the health of your data.
Intelligently Parse Data: Automatically detect abbreviations, state names, email addresses, and other common field types and extract into separate fields.
Preserve Original Data: With our in-memory processing architecture, test deduplication strategies while preserving your original data and choosing when and what to export.
Generate Better Insights: Matching and deduplicating across data sources allows you to generate insights and business intelligence based on complete, accurate data.
Streamline Data Migration: Ensure successful system migration to your modern ERP, PIM, or CRM by automating data cleansing and deduplication.
Pre-defined Standardization Rules: Deduplicate and enrich data accurately with our built-in standardization libraries for nicknames, name variations, addresses, cities, and phone numbers.
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 and speed.
Designed for both business and IT users, DataMatch allows you to match and cleanse data visually.
Fully visual, intuitive interface
Complete set of data cleansing tools
Affordable package; costs 95% less than comparable solutions
Semantic matching for unstructured data
Support for disparate data sources for record linkage
During your 30-day trial, you can access DataMatch Enterprise risk-free. The software is user-friendly and easy to install – what you see is what you get! However, we recommend a 30 to 60-minute non-obligatory online consultation with one of our subject matter experts to help you get the most out of your free trial.