How Privacy Analytics enabled a Top 20 Pharma company’s innovative study design, reducing costs by 35% (~$10M)
With Privacy Analytics’ help, our client was able to:
Leverage innovative approaches to sourcing and linking data.
Publish a comparative study more easily and cost-effectively.
Link multiple data sources with auditable proof of privacy protection.
Reduce costs by 35% vs. traditional study designs, saving ~$10M.
Why Trust Privacy Analytics?
With Privacy Analytics, you get proven technology and expertise to enable timely, usable data that can be safely linked and put to work – in compliance with global regulations – and backed by auditable proof. Pfizer, Sanofi, and Takeda are among the many pharmaceutical companies that have benefited from our privacy protection.
100s of other privacy and data protection laws worldwide
100s of clients served over 16 years in business
Archiving / Destroying
Are you unleashing the full value of data you retain?
Do you need help...
Unleashing the full value of retained data so they can be put to work safely and responsibly in line with privacy regulation?
Defining and implementing effective archival and disposal processes for personal data?
Retain the business value in your data through anonymization.
Ensure compliance in your retention & destruction strategy.
Maximize the reuse of information by removing what is personal.
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.
Optimizing the use / analysis of data to achieve your organization’s intended outcomes with measured success?
Reduce / minimize risk of bias in your data for machine learning.
Ensure transparency, fairness, and AI ethics / compliance.
Ensure data ethics & compliance in your data models and results.
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.
Are you empowering people to safely leverage trusted data?
Do you need help...
Maintaining / processing data securely and efficiently to promote data enablement with auditable proof of compliance?
Security / compliance efficiency
Creating synthetic versions of data to be used for innovation / AIML.
Applying data minimization principles to reduce your risk exposure.
Transforming your data for secondary uses and access.
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.