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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Privacy Analytics specializes in providing cutting-edge data anonymization solutions and software tailored for businesses in the consumer and healthcare sectors. Our services empower you to harness your sensitive data assets securely and ethically, fostering innovation that serves the greater good. With Privacy Analytics, you can effectively de-identify health data to meet the highest standards while maintaining its practical value. As regulatory requirements become increasingly stringent, the timelines for data requests are also shrinking, placing added pressure on organizations to maintain their reputations. The ongoing climate of data privacy is becoming more critical, with consumers and regulators alike holding companies accountable. This heightened scrutiny has amplified the stakes for pharmaceutical companies, necessitating safe disclosures of clinical data and related documents. As the demand for transparency escalates, the challenge of balancing it with the privacy of trial participants becomes even more pronounced, underscoring the need for innovative solutions that ensure both accountability and confidentiality in data handling. Consequently, organizations must adapt swiftly to these evolving expectations to thrive in this challenging environment.

Description

Developed and continuously improved by a dedicated team of professionals specializing in differential privacy, this system is actively utilized by organizations such as the U.S. Census Bureau. It operates on the Spark framework, seamlessly handling input tables with billions of entries. The platform offers an extensive and expanding array of aggregation functions, data transformation operations, and privacy frameworks. Users can execute public and private joins, apply filters, or utilize custom functions on their datasets. It enables the computation of counts, sums, quantiles, and more under various privacy models, ensuring that differential privacy is accessible through straightforward tutorials and comprehensive documentation. Tumult Analytics is constructed on our advanced privacy architecture, Tumult Core, which regulates access to confidential data, ensuring that every program and application inherently includes a proof of privacy. The system is designed by integrating small, easily scrutinized components, ensuring a high level of safety through proven stability tracking and floating-point operations. Furthermore, it employs a flexible framework grounded in peer-reviewed academic research, guaranteeing that users can trust the integrity and security of their data handling processes. This commitment to transparency and security sets a new standard in the field of data privacy.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Java
Python
SPARK

Integrations

Java
Python
SPARK

Pricing Details

No price information available.
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

Privacy Analytics

Founded

2007

Country

Canada

Website

privacy-analytics.com

Vendor Details

Company Name

Tumult Analytics

Founded

2019

Country

United States

Website

www.tmlt.dev/

Product Features

Data Privacy Management

Access Control
CCPA Compliance
Consent Management
Data Mapping
GDPR Compliance
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification

Product Features

Data Privacy Management

Access Control
CCPA Compliance
Consent Management
Data Mapping
GDPR Compliance
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification

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