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.

Pricing

Price Overview:
Contact PHEMI to learn about our value-based pricing.

Integrations

Offers API?:
Yes, PHEMI Health DataLab provides an API

Screenshots and Video

Company Facts

Company Name:
PHEMI Systems
Date Founded:
2013
Company Location:
Canada
Company Website:
www.phemi.com
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Product Details

Deployment
SaaS
Training Options
Documentation Hub
Online Training
Webinars
Support
Standard Support
Web-Based Support

Product Details

Target Company Sizes
51-200
201-500
501-1000
1001-5000
5001-10000
10001+
Target Organization Types
Mid Size Business
Enterprise
Nonprofit
Government
Supported Languages
English

PHEMI Health DataLab Categories and Features

Data Security Software

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

Data Privacy Management Software

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

Data Management Software

Data Analysis
Data Integration
Data Security
Information Governance

Data Governance Software

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

Big Data Platform

Data Warehousing
High Volume Processing
Predictive Analytics