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Introduction

This report will explore the trends that are helping the enterprise balance the needs of both data protection and data analytics, achieving a new, highly functional normal as the world adopts increasingly sophisticated protections for personal data.

Highlights

  • The EU’s General Data Protection Regulation (GDPR) will likely drive a cascade of similar data protection legislation worldwide.
  • The concept of data protection does not just aim to prevent breaches and leaks; it also promotes an environment of internal transparency.
  • The concept of the user “consent hub” is gaining traction for compliance with GDPR and other data privacy directives.

Features and Benefits

  • Assesses the global trends in data protection legislation, and examine's GDPR's potential impact on regional data protection policy.
  • Evaluates the ancillary business benefits of GDPR compliance, driven by the better control of enterprise data.
  • Analyzes the concept of data accountability, and its critical role in achieving both compliance and improved operational efficiency.
  • Assesses the enterprise benefits of a user "consent hub" or data preference portal, and examines the implications for proper integration with information management architecture.
  • Analyzes the role of metadata in machine learning and AI initiatives, and assesses how metadata can be used in analysis while complying with data protection regulation.

Key questions answered

  • What impact does GDPR, an EU regulation, potentially have on other regional data protection policies and legislation?
  • How can compliance with GDPR and similar data protection regulations be used as a competitive business advantage?
  • Why is security not sufficient to fulfill data protection obligations, and why is data accountability needed instead?
  • How can the enterprise avoid having the user "consent hub" or data preference center become another data silo?
  • Why is metadata the ideal training data set for machine learning and AI initiatives, and what can the enterprise do to ensure an accessible supply of this data?

Table of contents

Summary

  • Catalyst
  • Ovum view
  • Key messages

Recommendations

  • Recommendations for enterprises
  • Recommendations for vendors

GDPR will drive a cascade of similar data protection legislation worldwide

  • Doing business with the EU means conforming with its standards for data protection
  • GDPR offers a tempting, ready-made template for "gold-standard" data protection policies
  • Business benefits of GDPR will become evident with time, heralding change

Data protection promotes an environment of internal transparency

  • Data accountability – not data security – is the foundation for data protection
  • Internal transparency is the key to demonstrate compliance to regulatory bodies
  • Transparency will allow enterprises to become truly data driven

The user "consent hub" gains traction for compliance and trust

  • A single pane of glass to manage all user personal data
  • Winning consumers' trust means giving them control over their data
  • Poorly architected consent hubs run the risk of becoming yet another enterprise data silo

For machine learning and AI to grow within the enterprise, they must be fed metadata

  • Metadata is the glue that holds information management ecosystems together
  • Food for thought: AI feeds off metadata
  • Analysis of metadata potentially avoids running afoul of data protection regulations

Appendix

  • Methodology
  • Further reading
  • Author

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