Choose Your Own Data Sharing Strategy: Leadership Edition

Choose Your Own Data Sharing Strategy: Leadership Edition

Presented by MIT CDOIQ & Privacy Analytics on July 20, 2021

On-Demand Virtual Executive Discussion

In this choose your own data sharing adventure, leaders were asked to navigate and overcome several twists and turns – in real time – to meet business needs, while balancing internal resistance to change.

There are no right or wrong answers, however, their choices did determine the next challenge they faced, all of which was derived from insights gleaned in previous expert roundtable discussions.

See how our data leaders fared against the gamut of CDO responsibilities in this fun, educational session.

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About this webinar

On-Demand Virtual Executive Discussion

In this choose your own data sharing adventure, leaders were asked to navigate and overcome several twists and turns – in real time – to meet business needs, while balancing internal resistance to change.

There are no right or wrong answers, however, their choices did determine the next challenge they faced, all of which was derived from insights gleaned in previous expert roundtable discussions.

See how our data leaders fared against the gamut of CDO responsibilities in this fun, educational session.

Presenters

Kamayini Kaul

VP, Global Head of Information Insights and Analytics, at CSL Berhring

Joy Bonaguro

Statewide Chief Data Officer, State of California

Previous
Next

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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