Total Information Risk Management: Maximizing the Value of Data and Information Assets
  
Book 图书名称：Total Information Risk Management: Maximizing the Value of Data and Information Assets
Author 作者：Alexander Borek, Ajith Kumar Parlikad, Jela Webb and Philip Woodall  
Publisher 出版社：  Morgan Kaufmann
Page 页数： 296
Publishing Date 出版时间： 1 edition (October 2, 2013)                        
Language 语言：English
Size 大小：18 MB
Format 格式：pdf
ISBN-10: 0824788893
ISBN-13: 978-0824788896

Many talk about the unlimited opportunities of data and information assets. But, bad data and information can also severely hurt your business and create considerable risk. Managing risk is a new angle to selling data quality projects to upper managers who do not want to take the time to learn about the value of data quality.

Total Information Risk Management provides you with a step by step process to identify, quantify and mitigate the risks arising from poor data and information assets. It is based on novel research from the Distributed Information and Automation Laboratory at the University of Cambridge and has been proven to be successful across many different industries.

In particular, this book shows data managers and IT professionals how to:

• Complete a convincing business case for any data quality, data governance, Big Data, EIM, business intelligence, business  analytics and IT projects
• Develop a clear link between data quality and your organization's business objectives
• Identify data quality "pain points" that have the highest impact on your organization's success
• Get stronger "buy-in" from senior executives for data quality improvement
• Manage data and information assets for business value in your organization
  

This book provides you with all the fundamental concepts, guidelines and tools to ensure core business information is identified, protected and used effectively, and written in a language that is clear and easy to understand for non-technical managers.

• Shows how to manage information risk using a holistic approach by examining data and information assets from all sources
• Offers varied perspectives of an author team that brings together academics, practitioners and researchers (both technical and managerial) to provide a comprehensive guide
• Provides real-life case studies with practical insight into the management of information risk and offers a basis for broader discussion among managers and practitioners
  

== Table of contents ==
Content:
Front Matter, Page iii
Copyright, Page iv
Dedication, Page v
In praise of Total Information Risk Management: Maximizing the Value of Data and Information Assets, Page vi
Acknowledgments, Page ix
Foreword by Thomas C. Redman, Pages xi-xii
Foreword by John Ladley, Pages xiii-xiv
About the Authors, Pages xv-xvi
Introduction, Pages xvii-xxiv
Chapter 1 - Data and Information Assets, Pages 3-22
Chapter 2 - Enterprise Information Management, Pages 23-38
Chapter 3 - How Data and Information Create Risk, Pages 39-46
Chapter 4 - Introduction to Enterprise Risk Management, Pages 47-56
Chapter 5 - Overview of TIRM Process and Model, Pages 59-72
Chapter 6 - TIRM Process Stage A: Establish the Context, Pages 73-101
Chapter 7 - TIRM Process Stage B: Information Risk Assessment, Pages 103-133
Chapter 8 - TIRM Process Stage C: Information Risk Treatment, Pages 135-156
Chapter 9 - Integrating the TIRM Process within the Organization, Pages 157-166
Chapter 10 - TIRM Process Application Example, Pages 167-214
Chapter 11 - Risk Assessment Techniques for TIRM, Pages 217-235
Chapter 12 - Software Tools: Automated Methods for TIRM, Pages 237-269
Chapter 13 - Establishing Organizational Support and Employee Engagement for TIRM, Pages 271-279
Chapter 14 - Conclusions and Outlook, Pages 283-284
Index, Pages 285-290

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