Best Data Governance Software for monday.com

Find and compare the best Data Governance software for monday.com in 2024

Use the comparison tool below to compare the top Data Governance software for monday.com on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Egnyte Reviews

    Egnyte

    Egnyte

    $10 per user per month
    6 Ratings
    Secure and manage all your content across distributed teams, devices and apps. Uncover new business insights, scale compliance and governance, reduce costs, and increase productivity. Right out of the box. Flexible deployment models, robust integration ecosystem, and open APIs to address the business needs of companies in diverse industries and regions, and at different levels of cloud adoption. Egnyte helps thousands of customers take their cloud office strategy into hyper-drive. Transform your approach to content governance, privacy, compliance, and workflow automation with a single, turnkey platform.
  • 2
    Salesforce Data Cloud Reviews
    Salesforce Data Cloud is an online data platform that allows businesses to collect, harmonize, and analyze data in real time. This creates a 360-degree customer profile which can be used across Salesforce's various applications, such as Marketing Cloud, Sales Cloud, and Service Cloud. It allows businesses collect, harmonize and analyze data in real-time, creating a 360° customer profile that can then be used across Salesforce's different applications, including Marketing Cloud, Sales Cloud and Service Cloud. This platform allows for faster, more personal customer interactions through the integration of data from online and off-line channels, such as CRM data, transactional information, and third-party sources. Salesforce Data Cloud offers advanced AI and analytics capabilities that help organizations gain deeper insight into customer behavior, and predict future needs. Salesforce Data Cloud helps improve customer experiences, target marketing, and data-driven decision making across departments by centralizing and refining the data.
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