Custom rule creation feature with unlimited options.

Set rules for different criteria like minimum field length, recent record modifications, or the number of activities for a record.

Filter out activities based on your preferences, such as the last email received or the most recent appointment.
Create rules using Flow for checking status in different systems.
Data Score feature helps you assess the overall quality of your data.

Options to restrict record changes until specific requirements are fulfilled. Supports any entity standard and custom.

One of the key advantages of Metaphone 3 is its ability to index names by sound. This means that it can recognize variations in pronunciation and spelling, making it easier to identify duplicates that may have been misspelled or entered into a system differently.

The algorithm achieves a correction rate of 99%, which means that it is highly accurate and reliable.

Widely used in industries such as banking, healthcare, and government, where accurate and efficient record-keeping is essential.

By using our advanced realtime detection, businesses can clean up and prevent duplicates from being created in the first place.

Providing options to cross-check records from different entities before being created.

Phonetic algorithm detecting duplicates in spite of numerous misspellings made by end users.

Define advanced data quality rules without any limitations.

Developing tailored rules to align with the specific requirements of your business is a critical step in achieving optimal data quality. With the ability to create advanced data quality rules, unencumbered by any limitations, you can ensure that your data adheres to the highest standards of accuracy, completeness, and consistency.

Defining the merging rules criteria and enabling the auto-merge feature.

With our add-on features, you can be confident that your data is accurate, up-to-date, and compliant.

Advanced manual merge features empowers both admins and end-users to target and merge duplicate records according to their unique needs.

The feature provides more control over data, allowing administrators to enforce merging rules and criteria while enabling end-users to maintain accurate and up-to-date data.

Reduces the risk of errors and ensures data integrity, making it an essential tool for businesses looking to streamline their data management processes.