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Data Privacy in Practice: Data Management Strategies for GDPR, CCPA, and Beyond

February 17, 2021

Prerequisite: None

Jill Reber

General Manager of Data Privacy


It's been over four years since the passage of the GDPR thrust the issue of data privacy onto the global stage - California following closely behind with CCPA (a de facto U.S. standard absent a comprehensive federal privacy law), and many businesses are still trying to figure out how to respond on a practical level. Adding to the difficulty of this challenge are (1) an increasingly complex web of regulatory requirements and (2) escalating consumer demands for greater control over how their personal data is handled.

By taking a strategic, proactive approach to data management, businesses can lay the groundwork for an effective data privacy readiness program with the flexibility to adapt to future requirements and customer expectations. This approach also enables organizations to extract real business value from their data, improve the customer experience, streamline internal processes, and better understand their customers. As data privacy regulation grows, so does consumers’ awareness of how their personal data is being used. Trust is becoming an increasingly important factor in consumer decision-making, and customers will not hesitate to sever ties with providers who handle data irresponsibly. Privacy is part of digital ethics and is central to trust – with roughly 90 percent of Americans considering data privacy a human right. By improving accuracy and reliability, incorporating proactive data management into your data privacy program increases trust among users in the data that fuels their decision making.

In this presentation, we’ll share a "how-to" guide to data privacy readiness, which includes:

  • Providing an overview of the data privacy regulatory landscape
  • Creating an ethical framework for data management
  • Creating a strategy for aligning data systems and processes with privacy law requirements and customer expectations
  • Capturing data inventory and processing activities creating a picture of the full data lifecycle
  • Mapping data systems, data processes, and data flows (both within and outside of the company)
  • Building a data privacy foundation across 4 areas: data management, security, policies, and contracts
  • Designing a data privacy governance strategy
  • Planning for "triggers" that could impact compliance status

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