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What is Privacy Analytics?

Privacy Analytics is at the forefront of delivering advanced data anonymization solutions and software specifically designed for enterprises in both the consumer and healthcare industries. Our offerings enable you to utilize your sensitive data securely and responsibly, promoting innovation that benefits society as a whole. With Privacy Analytics, you can adeptly de-identify health information to comply with the highest standards while preserving its practical utility. As regulatory frameworks tighten, the urgency for fulfilling data requests is intensifying, increasing the pressure on organizations to uphold their reputations. In today's landscape, data privacy is of utmost importance, with both consumers and regulatory bodies demanding accountability from companies. This increased scrutiny raises the stakes for pharmaceutical firms, who must ensure safe and responsible sharing of clinical data and associated documents. As calls for transparency rise, the difficulty of balancing this need with the privacy rights of trial participants becomes more evident, highlighting the critical requirement for innovative strategies that facilitate accountability while safeguarding confidentiality. Therefore, organizations must swiftly adapt to these changing demands to succeed in this challenging climate, ensuring they meet both regulatory expectations and ethical obligations. In doing so, they can establish a strong foundation for trust and credibility in their data practices.

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.

Media

Media

Integrations Supported

Integrations Supported

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

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Contact PHEMI to learn about our value-based pricing.

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

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Privacy Analytics

Date Founded

2007

Company Location

Canada

Company Website

privacy-analytics.com

Company Facts

Organization Name

PHEMI Systems

Date Founded

2013

Company Location

Canada

Company Website

www.phemi.com

Categories and Features

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

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