Merge purge software

A highly customizable merge purge solution for attaining the golden record by detecting duplicates and designing prioritized list of merge purge rules that control master record selection and conditional record overwriting.

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DEFINiTION

What is merge and purge?

A merge purge software screens all data records residing across multiple data sources, recognizes duplicate records, and allows you to build survivorship rules that automatically merge or remove duplicates.

As the average enterprise uses 65+ different data sources to store entity records relating to customers, vendors, or products, a merge purge software can add huge value to the process of creating a single source of truth for your organization.

Benefits

Why do you need a merge purge tool?

Overcome structural differences across datasets

Bring data together to resolve differences in terms of content (sematic and syntactic) and structure (data types and formats).

Use automated field mapping

Intelligently map fields and reduce the hassle of manually assessing and renaming fields across disparate sources.

Attain complete customer profile

Design personalized experiences by evaluating the holistic view of a customer’s behavioral patterns and preferences.

Control unique record selection

Create custom merge and survivorship rules for deciding the fields to be prioritized for unique record selection.

PRIVATE

Avoid data loss during merge purge

Prevent data loss and ensure retention of the most accurate and comprehensive view of an entity after deduplication.

Streamline data-driven decision making

Uncover business insights that give an accurate, complete, and consistent view of brand image, perception, and experience.

Features

What DME’s merge purge software can do for you?

data merge purge
DME allows you to prepare your data before merging or overwriting it. This includes achieving a clean and standardized view across all datasets, and using advanced deduplication algorithms to highlight records similar to each other, and uses this output to make merge purge decisions.
By default, DME automatically selects the master record for every duplicate group. But if needed, you can override this selection by defining a set of customizable rules and choosing the master record depending on a data source or based on a field that qualifies a certain operation (such as the longest, shortest, maximum, minimum, or the most frequent value).
DME allows you to overwrite data from a record to its duplicates, ensuring maximum data enrichment before exporting the golden record. You can achieve this by choosing to overwrite from a specific data source or a qualified value, or merging all values together to prevent data loss.
Execute the configured rules conditionally and control merge purge operations by overwriting only in the absence or presence of blank values, or when certain records are flagged as duplicates, and more.

There’s more

What else do you get out of the box?

Our merge purge solution comes with a number of in-built features that facilitate easy, automatic, and cost-effective merging and purging operations at any time.
  • Live preview of merged/purged data
  • In-built data profiling, cleansing, and matching
  • Unique and duplicate record selection
  • Prioritized rules configuration
  • Scheduler for automated merge purge
  • Conditional merging and overwriting rules
  • Color-coded view of merge purge operations
  • Multi-format support for exporting results

User roles

A tool made for everyone

Data analysts

Business users

IT Professionals

Novice users

Features

We take care of your complete DQM lifecycle

The DME API exposes data profiling, cleansing, matching, and deduplication as [VERIFY: REST/SOAP] endpoints, so you can call these functions directly from your own application, ETL pipeline, or CRM without opening the DME desktop interface.

Authentication

VERIFY: API key / OAuth / token-based — confirm method and add a one-line example

Example request

Automate data quality checks and get instant data profile reports

Example response

Standardize & transform datasets through various operations

Batch vs. real-time modes

Execute industry-grade, AI-powered data match algorithms on datasets

Supported integrations

Eliminate duplicate values and records to preserve uniqueness

Merge & purge

Configure merge and survivorship rules to get the most out of data

Want to know more?

Check out DME resources

Merging Data from Multiple Sources – Challenges and Solutions

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