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


Data privacy is an increasingly key driver of business decisions and IT practices. If done correctly, data management architecture can drive privacy and compliance as well as facilitate more proactive functions such as the use of data in analytics.


  • Data privacy depends on consistent control of data, and consistent control of data is a driver of business value.
  • "Siloed" data architecture is not a feasible approach to the management of data privacy, because it fragments control and creates disparate policies for data.
  • The managed data lake, with a shared metadata framework, is the ideal environment for ensuring that privacy controls are consistently applied.

Features and Benefits

  • Identifies the long-term benefits of a robust data privacy program within the enterprise.
  • Assesses the drawbacks of a "siloed" data architecture with regard to data privacy.
  • Evaluates the key benefits of the managed data lake approach for gaining control of data.
  • Identifies strategies for ensuring that a data privacy program is an ongoing process rather than a single project.

Key questions answered

  • How can data privacy support analytics initiatives and be a driver of business value?
  • Why are data silos detrimental to the implementation of a data privacy program?
  • How does the managed data lake approach help gain control of data for data privacy implementation?
  • Why does data privacy need to be an iterative process rather than a one-time compliance project?
  • What role will AI and machine learning play in the role of information governance of big data?

Table of contents


  • Catalyst
  • Ovum view
  • Key messages


  • Recommendations for enterprises
  • Recommendations for vendors

Data privacy can be a key driver of business value

  • Privacy and protection is about much more than compliance
  • Consistent control is necessary for all use of data

Data silos are unsustainable and therefore unsuitable

  • Segregating sensitive data in silos is an outmoded technique
  • Compatibility between systems is increasingly important

The managed data lake provides a route to privacy

  • A "single source of truth" for data, regardless of where the data resides, is the goal
  • A shared metadata framework is critical to governance
  • Inheritance of governance settings maintains control of data

Privacy and data protection is an iterative process

  • May 2018 is not going to be the finish line for data privacy
  • The entire business must be involved in governance and privacy
  • Automation and machine learning need to play a bigger role


  • 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