Software Alternatives & Reviews

Top 9 Data Hygiene Products in Data Governance

The best Data Hygiene Products within the Data Governance category - based on our collection of reviews & verified products.

BizProspex PCA Predict Blazent DEYDE MyDataQ Insycle Datactics FreshAddress DQGlobal DQ Match DQ Components API

Summary

The top products on this list are BizProspex, PCA Predict, and Blazent. All products here are categorized as: Data Hygiene. Data Governance. One of the criteria for ordering this list is the number of mentions that products have on reliable external sources. You can suggest additional sources through the form here.
  1. BizProspex offers CRM data cleaning solutions.

    #Data Hygiene #CRM #Project Management

  2. PCA Predict is a customer data cleansing and enrichment solution.

    #Data Hygiene #CRM #Sales Tools

  3. Blazent is a cloud-based IT data integrity engine that aggregates, reconciles and consolidates IT data.

    #Data Hygiene #Project Management #CRM

  4. MyDataQ DEYDE Data Quality optimizes the costs of the campaign identifying duplicate records and unifying the profiles of the clients.

    #Data Hygiene #CRM #Sales Tools

  5. Insycle is the modern way to organize, cleanse, and bulk update customer data in Salesforce, Hubspot, & Intercom - from one central hub.

    #Data Hygiene #Sales Tools #CRM 2 social mentions

  6. Datactics is a data quality and matching software.

    #Data Hygiene #Sales Tools #CRM

  7. FreshAddress helps companies drive revenue by building, updating, segmenting, and cleaning their email lists.

    #Data Hygiene #Project Management #CRM

  8. DQ Match works directly with the CRM application or database(s) to identify duplicates and ensure that the data is correctly formatted and duplicate free.

    #Data Hygiene #CRM #Project Management

  9. DQ Components API provides a set of data quality improvement functions which will ensure the quality and structure of the data is constantly improved and maintained.

    #Data Hygiene #Project Management #Customer Data Enrichment

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