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What is PHEMI Health DataLab?

In contrast to many conventional data management systems, PHEMI Health DataLab is designed with Privacy-by-Design principles integral to its foundation, rather than as an additional feature. This foundational approach offers significant benefits, including: It allows analysts to engage with data while adhering to strict privacy standards. It incorporates a vast and adaptable library of de-identification techniques that can conceal, mask, truncate, group, and anonymize data effectively. It facilitates the creation of both dataset-specific and system-wide pseudonyms, enabling the linking and sharing of information without the risk of data leaks. It gathers audit logs that detail not only modifications made to the PHEMI system but also patterns of data access. It automatically produces de-identification reports that are accessible to both humans and machines, ensuring compliance with enterprise governance risk management. Instead of having individual policies for each data access point, PHEMI provides the benefit of a unified policy that governs all access methods, including Spark, ODBC, REST, exports, and beyond, streamlining data governance in a comprehensive manner. This integrated approach not only enhances privacy protection but also fosters a culture of trust and accountability within the organization.

What is MetaPrivacy?

In today's world, organizations are prioritizing data security and asset oversight more than ever before. The intricate nature of data storage and the presence of outdated systems complicate efforts to pinpoint exactly what personal information is being handled by an organization. MetaPrivacy, a prominent privacy management platform, offers the necessary automation for organizations to effectively visualize and oversee their data processing practices over time. Clients can derive benefits from this solution swiftly, avoiding protracted consulting sessions or complex configurations. Additionally, the inclusion of a task management module alongside a risk register aids in recognizing, addressing, and reducing potential risks. The system also provides access to GDPR guidelines and policies, allowing users to conduct the necessary assessments. Ultimately, this comprehensive approach not only streamlines data management but also facilitates the demonstration of GDPR compliance to relevant national regulatory bodies. By utilizing such tools, organizations can ensure they remain accountable and transparent in their data handling processes.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Apache Hive
Apache Ranger
Apache Spark
Cloudera
Hadoop
Microsoft Azure
Microsoft Power BI
Tableau

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Contact PHEMI to learn about our value-based pricing.

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Webinars
Online Training

Company Facts

Organization Name

PHEMI Systems

Date Founded

2013

Company Location

Canada

Company Website

www.phemi.com

Company Facts

Organization Name

MetaCompliance

Date Founded

2006

Company Location

United Kingdom

Company Website

www.metacompliance.com/products/privacy-management

Categories and Features

Big Data

Data Warehousing
High Volume Processing
Predictive Analytics

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Policy Management
Process Management
Roles Management
Storage Management

Data Lineage

Not specified

Data Management

Data Analysis
Data Integration
Data Security
Information Governance

Data Masking

Not specified

Data Privacy Management

Access Control
CCPA Compliance
Consent Management
Data Mapping
GDPR Compliance
Policy Management
Risk Management
Sensitive Data Identification

Data Security

Data Classification
Data Discovery
Data Masking
Data-Centric Security
Encryption
Identity / Access Management
Policy Management
Sensitive Data Compliance

Hybrid Cloud Storage

Not specified

Categories and Features

Data Governance

Data Mapping
Data Profiling
Process Management
Roles Management

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