If your organization needs to anonymize data and doesn’t want to invest in it as a core capability, then consider our customized and scalable anonymization service.
Regardless of your industry, your data will be treated with strategies and processes that are practical, proven and scalable, designed for use across multiple highly regulated markets and jurisdictions.
Whether you need…
Expanded data handling capabilities
More value from your data
Improved stakeholder trust
Our anonymization services team has worked with world-leading data innovators and is ready to help you. Step 1 is booking a free consultation with one of our 100+ privacy experts.
We evaluate your data, review context-specific information, and work with you to understand your analytic priorities.
1
Evaluation
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We use that information to develop a custom anonymization strategy.
2
Planning
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We perform anonymization in our secure environment with our industry-leading Eclipse software.
3
Implementation
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You get your anonymized data set and a detailed, legally defensible report outlining the steps taken to protect privacy and ensure the data is not identifying.
4
Reporting
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Who benefits most from anonymization as a service?
Anonymization as a Service might be your best choice, if one or more of the following are true:
A
you have low or unpredictable demand for anonymization;
B
you don’t have the organizational capacity to successfully anonymize data in house, at scale (e.g. funds for the software, hardware, cloud and staff required); or
C
you have made a risk decision to outsource anonymization.
Find out how your organization would benefit from our anonymization services
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Archiving / Destroying
Are you unleashing the full value of data you retain?
Your Challenges
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?
OUR SOLUTION
Value Retention
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.
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.
Optimizing the use / analysis of data to achieve your organization’s intended outcomes with measured success?
OUR SOLUTION
Unbiased Results
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.
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.
Ensuring the right people have access to the right data at the right times?
OUR SOLUTION
Usable and Reusable Data
Enable internal access and / or external sharing of data for primary and / or secondary uses.
Ensure data are useful and reusable in alignment with FAIR principles.
Ensure data have the right level of privacy protection for the use.
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.
Are you empowering people to safely leverage trusted data?
Your Challenges
Do you need help...
Maintaining / processing data securely and efficiently to promote data enablement with auditable proof of compliance?
OUR SOLUTION
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 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.
Defining a clear data strategy to achieve desired outcomes?
Getting it right at the start to avoid costly privacy missteps later?
OUR SOLUTION
Build privacy in by design
Building privacy into your data plan / platform / pipeline upfront.
Establishing a trusted data strategy (ethics, compliance, privacy).
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.
This course runs on the 2nd Wednesday of every month, at 11 a.m. ET (45 mins). Click the button to register and select the date that works best for you.
