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DataMatch Enterprise

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Company health

Employee growth
45% increase in the last year
Web traffic
34% increase in the last quarter

Ratings

G2
4.2/5
(27)

DataMatch Enterprise description

DataMatch Enterprise is a desktop software designed to help businesses improve the quality of their customer and contact data. It offers tools for finding and merging duplicate records, verifying addresses, cleaning up inconsistent formatting, and more. This helps ensure your data is accurate, consistent, and usable for marketing and operations.


Who is DataMatch Enterprise best for

DataMatch Enterprise is a desktop software designed to clean and deduplicate customer data. Users praise its comprehensive cleansing capabilities, user-friendly interface, and flexible import/export options. However, some have reported inconsistencies in matching accuracy, system instability, and performance issues with large datasets. Ideal for small to mid-sized businesses in marketing and finance seeking improved data quality.

  • Best fit for small to mid-sized businesses.

  • Suitable for businesses focused on improving data quality in marketing and finance.


DataMatch Enterprise features

Supported

DataMatch Enterprise can merge data from multiple sources, including files, sheets, and databases.

Supported

DataMatch Enterprise cleans data, removes duplicates, fixes data types, and handles errors.

Supported

DataMatch Enterprise monitors and improves data accuracy, completeness, and consistency.

Supported

DataMatch Enterprise supports duplicate management through features like data deduplication and record linkage.

Supported

DataMatch Enterprise consolidates, cleanses, and synchronizes master data across applications.


DataMatch Enterprise reviews

We've summarised 27 DataMatch Enterprise reviews (DataMatch Enterprise G2 reviews) and summarised the main points below.

Pros of DataMatch Enterprise
  • Comprehensive data cleansing capabilities.
  • User-friendly interface and intuitive project setup wizard.
  • Flexible data import/export options, supporting various formats like Excel, CSV, and JSON.
  • Excellent and responsive customer support.
  • Configurable match definitions with adjustable confidence levels and weights.
Cons of DataMatch Enterprise
  • Matching accuracy is unreliable and inconsistent, producing different results on the same datasets.
  • System instability leads to process interruptions, requiring restarts.
  • Limited documentation for advanced features like data library reuse, custom profiling, and wordsmithing.
  • SQL extraction functionality is flawed and unusable despite being advertised.
  • Performance issues with large datasets, particularly during fuzzy matching.

DataMatch Enterprise alternatives

  • Logo of Insycle
    Insycle
    Fix messy CRM data, so you can grow faster.
    Read more
  • Logo of DataCliniq
    DataCliniq
    Cleans and enriches B2B data, boosting sales and marketing.
    Read more
  • Logo of Duplicate Search and Merge
    Duplicate Search and Merge
    Finds, merges, and reports duplicate data in Salesforce.
    Read more
  • Logo of Delpha
    Delpha
    Fixes messy Salesforce data so you can trust your insights.
    Read more
  • Logo of Oracle Enterprise Data Management Cloud
    Oracle Enterprise Data Management Cloud
    Connects, cleans, and governs business data for smarter decisions.
    Read more
  • Logo of D&B Connect
    D&B Connect
    Clean, connected customer data for smarter decisions.
    Read more

DataMatch Enterprise FAQ

  • What is DataMatch Enterprise and what does DataMatch Enterprise do?

    DataMatch Enterprise is desktop software that improves data quality by cleaning, merging, and deduplicating customer and contact data. It features flexible import/export options, configurable match definitions, and a user-friendly interface. However, some users report inconsistent matching accuracy and performance issues with large datasets.

  • How does DataMatch Enterprise integrate with other tools?

    DataMatch Enterprise integrates with various data sources, including files, sheets, and databases. It supports flexible data import/export options in formats like Excel, CSV, and JSON, allowing for seamless data transfer and integration with other tools in your data ecosystem.

  • What the main competitors of DataMatch Enterprise?

    Alternatives to DataMatch Enterprise include DQE One, 360Science, and Salesforce Platform. These competitors offer similar data quality and cleansing features, helping businesses maintain accurate and consistent customer data. Depending on specific business needs and integration requirements, these alternatives may provide more suitable solutions.

  • Is DataMatch Enterprise legit?

    DataMatch Enterprise's legitimacy is questionable. While it offers comprehensive data cleansing capabilities and a user-friendly interface, users report inconsistent matching accuracy, system instability, and poor performance with large datasets. Consider exploring alternative data quality software options for better reliability.

  • How much does DataMatch Enterprise cost?

    DataMatch Enterprise pricing is not publicly available. Contact DataMatch directly for a customized quote based on your specific enterprise needs and data volume.

  • Is DataMatch Enterprise customer service good?

    Customer reviews on DataMatch Enterprise's customer service are mixed. Some users mention helpful and responsive support, while others report being advised to upgrade for issues with data matching reliability, indicating potential inconsistencies in service experiences.


Reviewed by

MK
Michal Kaczor
CEO at Gralio

Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.

TT
Tymon Terlikiewicz
CTO at Gralio

Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.

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