skip to main content
Close Icon

In order to deliver a personalized, responsive service and to improve the site, we remember and store information about how you use it. This is done using simple text files called cookies which sit on your computer. By continuing to use this site and access its features, you are consenting to our use of cookies. To find out more about the way Informa uses cookies please go to our Cookie Policy page.

Global Search Configuration


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.


  • 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


  • Catalyst
  • Ovum view
  • Key messages


  • 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


  • Methodology
  • Further reading
  • Author

Recommended Articles

  • Enterprise Decision Maker, Enterprise IT Strategy and Select...

    2017 Trends to Watch: Big Data

    By Tony Baer 21 Nov 2016

    The breakout use case for big data will be fast data. The Internet of Things (IoT) is increasing the urgency for enterprises to embrace real-time streaming analytics, as use cases from mobile devices and sensors become compelling to a wide range of industry sectors.

    Topics Big data and analytics IoT

  • Consumer & Entertainment Services, World Cellular Informatio...

    Mapping the Future of Enterprise Messaging: SMS, RCS, and Chat Bots

    By Pamela Clark-Dickson

    In this paper, we analyze the results of the Enterprise Messaging Survey 2017, placing the findings in the context of the rapidly evolving business-to-consumer communications market.

  • Consumer & Entertainment Services, Service Provider Technolo...

    FAANG to sink its teeth deeper into TV in 2018

    By Rob Gallagher 14 Dec 2017

    Few trends will be bigger in 2018 than the transformation of TV and video by OTT technology and services. Here we present five Ovum predictions related to the most influential players: Facebook, Amazon, Apple, Google, and Netflix – or FAANG, for short.


Have any questions? Speak to a Specialist

Europe, Middle East & Africa team - +44 (0) 207 017 7700

Asia-Pacific team - +61 (0)3 960 16700

US team - +1 646 957 8878

+44 (0) 207 551 9047 - Operational from 09.00 - 17.00 UK time

You can also contact your named/allocated Client Services Executive using their direct dial.
PR enquiries - Call us at +44 7770704398 or email us at

Contact marketing -

Already an Ovum client? Login to the Knowledge Center now