5 Best Practices for Driving Value Through Data Stewardship
Privacy Analytics facilitates an Executive Advisory Board (EAB) comprised of data leaders focused on building trusted data strategies to drive innovation. The EAB is comprised of 21 senior-level executives working in data, analytics, privacy, and legal roles in private and public organizations.
With growing interest from EAB members in getting more clarity around the obligations of a steward of sensitive data, the Board developed guiding principles for organizations striving to drive value from sensitive data. The Board defined data stewardship to be:
This document contains a summary of the strategies and tactics we developed for implementing five key best practices.
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.
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.
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.
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.
Situation: Needed to ensure the primary market research process was fully compliant with internal policies and regulations such as GDPR.
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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