Merge Purge Software

Combine data from databases, files, or applications, decide which records should stay or go, and create survivorship rules easily with the highest-rated merge purge software in the market.

What is Merge Purge?

The average enterprise uses 65+ different data sources to store entity (customer, vendor, location, transaction, product data) records. Merge-purge is the process used to compare and combine data across disparate sources, determine records relating to the same entity across sytems and merge them, purge duplicate data, and finally use survivorship rules to retain unique data for the same entity across systems to build a “single source of truth”.

How Does Merge Purge Help Increase Operational Efficiency?

If an organization has an effective data merge and purge strategy in place, it helps them to plan effective utilization of technology, resources, workforce, and business processes. It wins the teams more time, allowing them to focus on execution, higher goals, and profit margins, resulting in more success for the business without compromising on quality.

What You Get With Our Merge Purge 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 $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+
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.

What You Get with Our Merge Purge Software

Unmatched Speed
and Accuracy

Rated faster and more accurate than IBM and SAS, our merge purge software consistently had the least number of false positives in independent studies.

Automated
Standardization

Apply over 300,000 built-in rules for names (Jon, Jonathan, John), phone numbers, address, and company name for standardization.

Fuzzy Logic
Identification

Identify matches accurately with percent matches between records and setting minimum percent match thresholds by field.

Find. Replace,
and Correct

Find and replace unwanted characters, patterns, and specific words from millions of records to automate list standardization and cleaning with merge purge tools.

How is Entity Data Spread Across the Organization?

Customer data is present in forms filled by customers, databases created by employees, and data captured from marketing and sales activities. Product data is provided by multiple vendors in multiple forms. This data can provide useful insights and help the business increase operational efficiency but there is one problem in using it. Since the data came from different sources and in different formats, how do you merge relevant data to create master records?

How Does Merge-Purge Software Find Matching Records?

DataMatch Enterprise parses names and addresses, and generates match keys for fuzzy, phonetic, numeric, and domain-specific matching. The software leverages a combination of proprietary and industry-best algorithms as well as probabilistic language models, to deliver the most accurate matches – at unprecedented speeds. These algorithms include Jaro-Winkler Distance, Probabilistic Jaccard, Metaphone 3, and Name Variant, among others. 

How Does Merge-Purge Streamline Data-Driven Decision Making?

Merge purge software gives your business the ability to use its data to its fullest potential. Data can be analyzed to find insights, increase efficiency, and discover problems, ideally, if you have a “single source of truth” that supports integration with enterprise-wide applications and systems. Merge purge allows you to choose how the data should be merged and purged. Pick the data survivorship rules that serve your purpose best and our merge purge tool will go through millions of records, combining them into complete golden records. Your original data is preserved in its original form, and a new dataset is created containing all the information.

How Long Does the Process Take?

Our merge purge solution has been tested on lists and databases of up to 2 billion records and has been rated the fastest and most accurate list cleaning software in multiple independent studies, consistently outperforming competing solutions from IBM and SAS. Whether you’re a business user or IT, experience the power of code-free, intuitive data cleansing and increase operational efficiency today.

Recommended Resources

How to Merge Purge Data
to Create Golden Records

Merging Data from
Multiple Sources

A Quick Guide to Data Merge Purge

Start merging and purging your data today.

  • This field is created because Zoho needs last name to create lead.