Delete Duplicates Software

Automatically identify both exact and non-exact matches to either delete duplicate records entirely or merge them to create enriched records using proprietary data matching technology.

Did you know?

94%

Research reveals that 94% of organizations have duplicate data in some form. Most corporate databases contain 10-30% duplicate records, resulting in wasted marketing budget, damaged company reputation, loss of customer trust, reduced collaboration between teams, and inefficiency across the enterprise. The removal of duplicates from your systems is, therefore, one of the most important steps in cleansing your data.

Why does this happen?

Incoming data from multiple customer touch-points (retail PoS, email list subscription, etc.) creates duplicates.

Name variations, typos, and incomplete data make it difficult to identify duplicates across systems.

Standard deduplication techniques can only identify exact duplicates, where a unique identifier like ID is present.

Why Delete Duplicates?

Businesses have millions of records related to customers, vendors, and employees, often in different databases. These databases have many duplicate records, which results in decreased operational efficiency as well as missing information. Multiple records mean details of the same customer/entity are spread to multiple records. Deleting duplicates and merging the records increases the efficiency of the database while creating a single source of truth.

Brand
Reputation

Remove entries for the same customer in multiple contact lists and avoid sending the same materials twice to your customer.

Single Source
of Truth

Create a clean, deduplicated customer view for use that everyone across the enterprise can use efficiently, confident in its accuracy.

Higher
Efficiency

Increase employee trust in internal data by deleting duplicates so they don’t have to sift through a lot of data to find the right entry.

Combining or Migrating
Systems

Comparing and deleting duplicates before merging systems or migration streamlines the process and reduces cleansing effort.

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What You Get With Our Tool to Delete Duplicates

Unmatched Speed
And Accuracy
DM_Time Saved

Powerful semantic matching technology uses contextual recognition to cleanse and standardize complex, unstructured product data.

Proprietary Duplicate
Detection
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Use world-class, proprietary data matching algorithms to detect duplicates regardless of spelling errors, variations, or incomplete data.

Merging and
Survivorship
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Compare duplicates, choose whether to merge to create enriched records, purge them completely, or survive specific data in a separate field.

Test Without
Consequence
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With in-memory processing, you can import and test different duplicate removal settings without consequence, preserving data in source systems.

Data Ladder’s data cleaning software deletes duplicate records in lists like email addresses, contacts, customer profiles, and client manifests, identifying fuzzy matching using a combination of proprietary matching algorithms based on decades of research, and established deterministic and probabilistic techniques. The tool is capable of handling even the most complete database architectures so you can ensure deduplication, regardless of whether your list is stored in Salesforce CRM, an Oracle database, or even legacy databases like IBM DB2.

One of the critical pieces of eliminating duplicates is survivorship. If you have duplicate records, which one should stay (survive) and which one should go?

Name Address Zip Code Town State Customer Number Notes
John Smith 1 Someplace Way 10258 Springfield CO 1005643 Prefers to be called Jack
John Smith 1 Someplace Way 10258 Springfield CO 1005643 Prefers to be called Jack

Name John Smith John Smith
Address 1 Someplace Way 1 Someplace Way
Zip Code 10258 10258
Town Springfield Springfield
State CO CO
Customer Number 1005643 1005643
Notes Prefers to be called Jack Prefers to be called Jack

In this example, we have two duplicate records. Each has some slightly different data in the notes field. You may prefer to keep all the records, but oftentimes a single master record must be chosen to maintain data quality. slightly different data in the notes field. You may prefer to keep all records, but often, a single master record must be chosen to maintain data quality.

DataMatch allows for customized settings for which merged data should survive.

With DataMatch, you can choose which record survives by choosing which field to merge on and in what order. In this case, it would be the customer number, in ascending or descending order. If in ascending order, the first customer number would hold priority (1005643). If in descending order, it would be customer number 1106789. You can always change which record is a master manually in DataMatch.

Unfortunately, normal duplicate removal software routines can delete vital business data.

Now, what if you want to keep both pieces of information in the same master record? DataMatch has this capability! The best solution would be to keep all the data that is different in a new field.

The result would be this:

Name Address Zip Code Town State Customer Number Notes Comments
John Smith 1 Someplace Way 10258 Springfield CO 1005643 Prefers to b... Alternate Information: (Customer Number): 1106789 (Notes): Interested in New Product next month.
Name John Smith
Address 1 Someplace Way
Zip Code 10258
Town Springfield
State CO
Customer Number 1005643
Notes Prefers to b...
Comments Alternate Information: (Customer Number): 1106789 (Notes): Interested in New Product next month.

Note the alternate information is captured in a new field. The benefit is a single master record, with no vital data loss. (Old customer number kept for referencing, and critical customer comments like interest in a new product – kept).

Background

Our Customers

Recommended Resources

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Deduplicating a
Data Nightmare

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The Importance of a Thoughtful
Merge Purge Strategy

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Be Data Smart: Mom and the
FBI Give the Same Warning

Ready to Start Matching to Delete
Duplicates and Prepare Your Data?

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.

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