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Description
Entropy Data serves as a marketplace for data products, instilling trust through data contracts and facilitating the discovery of essential data for business needs via an intuitive user interface, semantic search, and advanced filtering options tailored for data products. It efficiently supports the entire data access lifecycle in a self-service manner, allowing consumers to request access, enabling owners to approve or deny these requests, and providing integration options to automate permissions within the data platform. The platform is structured into three main components: Marketplace, Studio, and Governance, which collectively offer data consumers a centralized location for discovering and requesting data products, while granting product owners and developers the tools to create, modify, and oversee their offerings. Additionally, it provides stewards, managers, and platform teams with the means to establish overarching policies and derive valuable insights from the platform. Entropy Data encompasses a wide range of functionalities, managing everything from data products and contracts to access requests, business definitions, assets, domains, teams, source systems, example data, events, certifications, and change management, along with notifications to keep stakeholders informed. This comprehensive approach ensures that all aspects of data product management are effectively addressed, fostering a collaborative environment among all users involved.
Description
HealthVerity Consent is a cloud-based platform designed to assist organizations in overseeing and regulating consumer data-use permissions, ensuring adherence to privacy regulations across both internal infrastructures and external vendors. By providing a centralized approach to managing opt-in and opt-out preferences that are accumulated from various interconnected systems, it serves as the definitive reference for permissions. This solution not only notifies all consumer data source systems, whether they are within the organization or part of partner networks, about any modifications in consent permissions but also guarantees that all stakeholders remain informed with the most precise data available, simplifying compliance efforts. It effectively consolidates and reconciles individual consumer data permissions into one accessible location, facilitating a seamless integration of technology without disrupting current systems and workflows. Moreover, it enables the creation of a shareable and immutable record of consent permissions alongside consumer data requests, thereby enhancing transparency and accountability. Overall, HealthVerity Consent streamlines the management of consumer consent, making it easier for organizations to navigate the complexities of data privacy.
API Access
Has API
API Access
Has API
Integrations
Microsoft Excel
Model Context Protocol (MCP)
SQL
Snowflake
Pricing Details
$109 per month
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Entropy Data
Country
Germany
Website
entropy-data.com
Vendor Details
Company Name
HealthVerity
Founded
2015
Country
United States
Website
healthverity.com/solutions/healthverity-consent/
Product Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Product Features
Customer Data Platforms (CDP)
Behavioral Analytics
Campaign Management
Customer Profiles
Customer Segmentation
Data Integration
Data Matching
GDPR Compliance
Personalization
Predictive Modeling