The CDO’s Actionable Framework to Share Sensitive Data

The CDO’s Actionable Framework to Share Sensitive Data

2022 CDOIQ Symposium Panel Discussion

 

About this webinar

In this panel replay, you’ll get tangible strategies and tactics to identify, substantiate and communicate a compelling, urgent reason to provide internal access to sensitive data or to share sensitive data assets externally.

Plus, you can download a complimentary PDF summary of The CDO’s Actionable Framework to Share Sensitive Data. The panel session and PDF download are the result of extensive analysis and insights by the Executive Advisory Board focused on Building Trusted Data Strategies to Drive Innovation.

The Board is supported and facilitated by Privacy Analytics, an IQVIA company. It is comprised of 21 senior-level executives working in data, analytics, privacy, and legal roles in private and public organizations.

Speakers:

  • Mike Branch, VP, Data & Analytics, Geotab
  • Doug Lee, VP, Enterprise Data, Analytics & Data Science, Healthcare, Sidus Insights (a Harris Computer company)
  • Len Usvyat, VP, Applied Data Science, Biostatistics, and Epidemiology, Fresenius Medical Care
  • Michael Conlin, Chief Technology Officer, Definitive Logic
  • Jordan Collins, Data Privacy Solutions Business Leader, Privacy Analytics

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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