If your asset data is not reliable, you need to convince the
organization of the enormous potential that is locked away. To
accomplish this, you need to understand the breadth of the problem and
the value of solving it. A viable business case for action is needed-so
let's get started!
Physical asset data integrity is a critical aspect of every business,
often the most valuable asset on the balance sheet, yet it is often
overlooked. The data that we have about our assets collectively creates
information, provides for accurate analysis and facilitates sound
business decisions. Without accuracy of asset data there is a strong
potential for poor decisions and their negative consequences. This book
will not only provide an appreciation of this fact, it will also provide
a road map to achieving value out of something most CEOs, managers, and
workers often overlook.
Acknowledgements
About the Author
Introduction
1-The Business Case for Data Integrity
-
Introduction to the Business Case
-
Information Overload
-
Searching for Data
-
Retiring Baby Boomers
-
The Brain Drain
-
A Business Case Example
-
Consistency or Lack Thereof
-
The Data Integrity Corporate Entitlement
-
Impact on Shareholder Value
Part 1-Understanding the Importance of Asset Data Integrity
2-Plant Asset Information-A Keystone for Success
- Overview
- Who Are The Stakeholders?
- Why We Wrote This Book
- Who Will Benefit?
- What You Will Learn
- Chapter Synopsis
- Let's Get Started
3-What is Data Integrity?
- Defining the Terms
- Data Elements
- Taxonomy and Why Is It Important?
- What We Are Looking for in Good Data
- The Downside of Poor Data Integrity
- A Word About Information Technology
- Understanding Data Is Just the Beginning
4-The Asset/Data Integrity Life Cycle
- About Life Cycles
- The Asset Life Cycle
- The Asset Data Life Cycle
- Why the Data Life Cycle is Important
- Roles and Responsibilities Within the Asset Life Cycle
- It Is Never To Soon To Start
- Life Cycle Links
- Life Cycles as a Foundation
5-Data Integrity at the Task Level
- Task vs. Strategic
- The Data Integrity Transform
- Data Integrity Tasks
- Reactive Data Integrity
- Proactive Data Integrity
- From Reactive to Proactive
6-Internal Outcomes and Impacts
- Indirect Impacts
- Decisions Are Just the Beginning
- Indirect Inputs
- Indirect Outputs
- The Legal Umbrella
- Indirect Aspects of the Transform
7-External Outcomes and Impacts
- External Issues
- Outcomes and Impacts - Partners
- Outcomes and Impacts - Suppliers
- Outcomes and Impacts -Customers
- Outcomes and Impacts -Agencies
- Outcomes and Impacts - Public
- Outcomes and Impacts - Insurance Carriers
- The External Impacts Are Important
8-Information Technology (IT) Problems and Solutions
Part 2-Building a Sound Data Integrity Process
9-Building an Enterprise-Level Data Integrity Model
Historical View
What Is an Asset?
Asset Classification
Static Data vs. Dynamic Data
The Differences Among Assets, Functional
Locations and Functional Location Hierarchies
Other Asset-Related Master Data
Asset Master Data Structure and Formatt...
