3 Critical Data Anonymization Challenges Solved (with Eclipse Risk)

3 Critical Data Anonymization Challenges Solved (with Eclipse Risk)

About this webinar

  • Learn how to transform vast stores of sensitive data – quickly, safely, and at scale

  • Fuel innovation and protect your reputation

If you want to safely leverage the increasing value of your sensitive data by implementing data anonymization at scale, you’re likely facing one (or all) of these critical challenges:

  • Managing high volumes, varied requests, and short turnaround times
  • Finding people with the skills needed to achieve high data utility
  • Adopting a defensible, standardized approach to anonymization

Fortunately, software can help you overcome each of these challenges.

Find out how by joining Ron Kaine, Software Product Manager at Privacy Analytics, Srini Venkat, Senior Solutions Architect at Privacy Analytics, and David Onyschuk, Director of Customer Relationship Management and Data Access at Alberta Health, in this brief, informative on-demand webinar.

See the new and improved Eclipse Risk UI

Hear first-hand how Alberta Health uses the powerful Eclipse software platform to respond to its many requests, creating high-quality, anonymized data that protects patient privacy and meets all regulatory requirements.

PLUS, you’ll get a live demo of our latest software release. Be among the first to see the most powerful, flexible, and user-friendly version of Eclipse to date.

Learn how your organization can:

  • Overcome 3 critical data anonymization challenges
  • Safely process more sensitive data with less effort
  • Defensibly achieve safe, insight-rich data at scale

Presenters:
Ron Kaine, Software Product Manager, Privacy Analytics
Srini Venkat, Senior Solutions Architect at Privacy Analytics
David Onyschuk, Director of Customer Relationship Management and Data Access, Alberta Health

Fill in the form below to view the webinar.

Sign me up for marketing communications on safely leveraging my sensitive data.

About this webinar

  • Learn how to transform vast stores of sensitive data – quickly, safely, and at scale

  • Fuel innovation and protect your reputation

If you want to safely leverage the increasing value of your sensitive data by implementing data anonymization at scale, you’re likely facing one (or all) of these critical challenges:

  • Managing high volumes, varied requests, and short turnaround times
  • Finding people with the skills needed to achieve high data utility
  • Adopting a defensible, standardized approach to anonymization

Fortunately, software can help you overcome each of these challenges.

Find out how by joining Ron Kaine, Software Product Manager at Privacy Analytics, Srini Venkat, Senior Solutions Architect at Privacy Analytics, and David Onyschuk, Director of Customer Relationship Management and Data Access at Alberta Health, in this brief, informative on-demand webinar.

See the new and improved Eclipse Risk UI

Hear first-hand how Alberta Health uses the powerful Eclipse software platform to respond to its many requests, creating high-quality, anonymized data that protects patient privacy and meets all regulatory requirements.

PLUS, you’ll get a live demo of our latest software release. Be among the first to see the most powerful, flexible, and user-friendly version of Eclipse to date.

Learn how your organization can:

  • Overcome 3 critical data anonymization challenges
  • Safely process more sensitive data with less effort
  • Defensibly achieve safe, insight-rich data at scale

Presenters:
Ron Kaine, Software Product Manager, Privacy Analytics
Srini Venkat, Senior Solutions Architect at Privacy Analytics
David Onyschuk, Director of Customer Relationship Management and Data Access, Alberta Health

Click here to view Eclipse Software Overview

Presenter(s)

No data was found

Archiving / Destroying

Are you unleashing the full value of data you retain?

Your Challenges

Do you need help...

OUR SOLUTION

Value Retention

Client Success

Client: Comcast

Situation: California’s Consumer Privacy Act inspired Comcast to evolve the way in which they protect the privacy of customers who consent to share personal information with them.

Evaluating

Are you achieving intended outcomes from data?

Your Challenge

Do you need help...

OUR SOLUTION

Unbiased Results

Client Success

Client: Integrate.ai

Situation: Integrate.ai’s AI-powered tech helps clients improve their online experience by sharing signals about website visitor intent. They wanted to ensure privacy remained fully protected within the machine learning / AI context that produces these signals.

Accessing

Do the right people have the right data?

Your Challenges

Do you need help...

OUR SOLUTION

Usable and Reusable Data

Client Success

Client: Novartis

Situation: Novartis’ digital transformation in drug R&D drives their need to maximize value from vast stores of clinical study data for critical internal research enabled by their data42 platform.

 

Maintaining

Are you empowering people to safely leverage trusted data?

Your Challenges

Do you need help...

OUR SOLUTION

Security / compliance efficiency

CLIENT SUCCESS

Client: ASCO’s CancerLinQ

Situation: CancerLinQ™, a subsidiary of American Society of Clinical Oncology, is a rapid learning healthcare system that helps oncologists aggregate and analyze data on cancer patients to improve care. To achieve this goal, they must de-identify patient data provided by subscribing practices across the U.S.

 

Acquiring / Collecting

Are you acquiring the right data? Do you have appropriate consent?

Your Challenge

Do you need help...

OUR SOLUTIONS

Consent / Contracting strategy

Client Success

Client: IQVIA

Situation: Needed to ensure the primary market research process was fully compliant with internal policies and regulations such as GDPR. 

 

Planning

Are You Effectively Planning for Success?

Your Challenges

Do you need help...

OUR SOLUTION

Build privacy in by design

Client Success

Client: Nuance

Situation: Needed to enable AI-driven product innovation with a defensible governance program for the safe and responsible use
of voice-to-text data under Shrems II.

 

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