The Data Privacy Vector of Business Risk: Navigating the Emerging Data Risk Frontier for Organizations
Debbie Reynolds
The Data Diva | Data Privacy & Emerging Technologies Advisor | Technologist | Keynote Speaker | Helping Companies Make Data Privacy and Business Advantage | Advisor | Futurist | #1 Data Privacy Podcast Host | Polymath
“Privacy is a data problem with legal implications, not a legal problem with data implications”.
Debbie Reynolds “The Data Diva”
Many organizations have traditionally considered privacy a regulatory, compliance, and legal risk. However, the convergence of factors such as rising data breaches, a lack of transparency in data handling, and the growing adoption of emerging technologies has resulted in an erosion of customer trust, an increase in data breaches, and dependence on increasingly complex data systems. These forces together are creating a new Data Privacy Vector of Business Risk.
This Data Privacy Vector of Business Risk is created when data problems snowball and create more risks as data is collected, multiplied, duplicated, and used in many areas of an organization. As the data travels and goes deeper into organizations and data systems, the controls can be lost, the memory of the data line can be lost, and the data can be used in ways that are not only bad for individual privacy but also for business.
To minimize these kinds of risks, organizations must shift left, spending more time and attention on data issues before they can become legal issues. Organizations can adopt three strategies to better address the new Data Privacy Vector of Business Risk, which are, data risk prevention, data curation, and data lifecycle sunsetting..
Data Privacy Vector Risk Strategy - Data Risk Prevention
Data risk prevention is the first defense against the Data Privacy Vector of Business Risk. It involves taking proactive steps to identify potential data risks before they manifest into more significant issues. Organizations must implement robust data governance frameworks that include policies, processes, procedures, and technologies designed to protect data by enabling privacy by design thinking to minimize future Data Privacy risks.
Key elements of data risk prevention include:
Data Privacy Vector Risk Strategy - Data Curation
Data curation involves the ongoing management and oversight of data to ensure its quality, integrity, and compliance with relevant regulations. Effective data curation practices can help organizations mitigate the Data Privacy Vector of Business Risk by controlling their data assets and ensuring that data is used appropriately and responsibly.
Key elements of data curation include:
Data Privacy Vector Risk Strategy - Data Lifecycle Sunsetting
Data lifecycle sunsetting involves the systematic and deliberate process of retiring data that is no longer needed or relevant. Data within organizations with low business value often presents some of the highest Data Privacy risks for organizations. By implementing robust data lifecycle sunsetting practices, organizations can reduce the amount of data they hold, minimizing the potential risks associated with data storage and use.
Key elements of data lifecycle sunsetting include:
Navigating the emerging Data Privacy Vector of Business Risk requires organizations to adopt proactive and comprehensive strategies to mitigate potential data-related issues before they escalate into significant legal risks. By prioritizing data risk prevention, organizations can ensure robust data governance and prevent misuse of collected data. They can maintain data integrity and compliance through diligent data curation while minimizing redundancy and ensuring responsible data use. Implementing effective data lifecycle sunsetting practices allows organizations to systematically retire unnecessary data, reducing potential privacy risks. Embracing these strategies not only safeguards individual privacy but also fortifies business resilience against the multifaceted challenges posed by evolving data landscapes and helps organizations make Data Privacy a Business Advantage.
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Debbie Reynolds "The Data Diva" Keynote Addresses
I'm thrilled to extend my heartfelt thanks to Volkswagen Credit, USDA, Ally Financial, National Grid, Lawrence Livermore National Laboratory, Northwestern Mutual, PayPal, Coca-Cola, FRTIB, Hewlett Packard Enterprises, WestRock, Capital Group, Johnson & Johnson, Uber, S&P Global, FDIC, DHL Supply Chain, The Erikson Institute, and Rubrik for the privilege of being your Keynote Speaker. Your commitment to innovation and excellence is inspiring, and I'm honored to have contributed to your events.
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"Safeguarding Data in the AI Era: Leveraging Data Privacy, Provenance, and Lineage Strategies in the Enterprise"
The Pact Data Privacy Trust Framework
Debbie Reynolds, "The Data Diva", launched the PACT "Data Privacy" Trust Framework & Scorecard. This Framework can evaluate regulatory and business risk and the Trust of individuals around "Data Privacy". This is a gut check for organizations of all sizes to rate and triage their "Data Privacy" challenges. This Framework addresses Purpose, Alignment, Context, and Transparency. Watch this video to learn the basics as Debbie Reynolds explains the PACT Data Privacy Trust Framework & Scorecard in 6 minutes.
Visit our website to learn more about the PACT Data Privacy Trust Framework & Scorecard .
?? “The Data Diva” Talks Privacy Podcast Hits 350,000+ Downloads! ??
?? I am thrilled to announce that Debbie Reynolds and "The Data Diva" Talks Privacy podcast has reached a major milestone - 350,000+ downloads as of August 2024! ??
?? I want to thank our amazing listeners from over 118 countries and 2,509+ cities worldwide. Your support and enthusiasm have been nothing short of extraordinary! Also, I want to recognize The Data Privacy Advantage Newsletter's 13,100 + subscribers who faithfully read, comment, and share our work. ??????
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Watch a video short of our podcast on Tuesday, August 6, 2024, The Data Diva E196 - Michael Clark , Data Scholar and Author of the Book, “Data Revolution, The Rise of an Asset”. Here is a sneak preview of our Data Diva Podcast guests:
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Many thanks to "The Data Diva" Talks Privacy Podcast Sponsor and Privacy Visionary, Smartbox AI, for sponsoring this episode and supporting our podcast. Smartbox.ai , named British AI Company of the Year, provides cutting-edge AI, helps privacy and technology experts uniquely master their Data Request challenges, and makes it easier to comply with Global data protection requirements, FOIA requests, and various US state privacy regulations. Their technology is a game-changer for anyone needing to sift through complex data, find data,? and redact sensitive information. With clients across North America and Europe and a major partnership with Xerox, Smartbox.ai is bringing its data expertise right to our doorstep, offering insights into navigating the complex world of global data laws. For more information about Smartbox AI, visit their website at https://www.smartbox .
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Many thanks to "The Data Diva" Talks Privacy podcast supporter Integral, a group that is revolutionizing health data compliance. Top tech and pharma leaders trust Integral's Privacy Workbench platform to simplify and speed up the expert determination process, ensuring compliant de-identification of sensitive datasets. No more guesswork about privacy risks or remediation options—Integral’s continuous monitoring keeps your data consistent and secure. Curious to streamline your data collaboration efforts? For more information about Integral, visit their website's Data Diva Link: https://why.useintegral.com/thedatadiva
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Many thanks to the press organizations and reporters who seek my commentary on important events around Data Privacy. Also, here are links to some of my other media collaborations. Here is a collection of a few of my 2023-2024 media mentions and collaborations:
”With more data from humans and the rapid adoption of AI technologies, organizations will need to think about Data Privacy as a business problem and a business risk.” – Debbie Reynolds in VPNRanks Article
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Home Business Entrepreneur | Empowering Learners, Educators, Authors, Writers, and Creators to Achieve Financial & Time Freedom Through Innovative Community-Driven E-Learning, Creation & Promotion | U.S. Army Vet ????
3 个月Fantastic insights on data privacy, Debbie! Your detailed analysis is incredibly valuable for anyone managing data in today's complex landscape.
The Cyber Dawn | Former attorney helping businesses manage cyber and AI risks | Risk-awareness training presentations and workshops | HBR Advisory Council Member | Author, Award-Winning Cybersecurity Book |
3 个月Debbie Reynolds, another outstanding and timely newsletter on emerging data risks and privacy concerns!
Very much agree! I don’t think Privacy laws ask anything you would not do if you had a good and efficient data management process! It just gives an edge to it if you don’t - GDPR is a basic datamanagement tool-set - on legal language.
B2B Product Marketing Expert | Product Strategy | Expert in Marketing transformations | Fractional CMO | CRM & Marketing Automation | Startup Advisor | Adjunct Professor of Marketing and Entrepreneurship
3 个月Debbie Reynolds I always enjoy and learn a lot from your posts. Thank you for sharing. Chat soon!
Director Scientific Services and Operations SaaS | Ethical and Inclusive Digital Transformation | Award-winning Inclusion Strategist | Trustee | International Keynote Speaker | Certified WorkLife Coach | Cultural Broker
3 个月Good article, Debbie Reynolds. What I find often is that organisations decouple data from AI. They may have relative robust policies and procedures for handling data - e.g. customer and leads data - after years of being lectured about GDPR. However, they miss that underneath AI, all is data.? As a woman in tech with 20+ years of experience in AI systems, I find it surprising how much of AI's discussions are about algorithms, and data only comes up when discussing biases. For example, many AI systems - like some LLMs - are built without data consent or deletion processes in mind.