Order Managing Your Business Data today!
 
 
Also consider:
Data-Driven Business Models
by Alan Weber
 
 
 
 

Table of contents for

Managing Your Business Data

by Theresa Kushner and Maria Villar


Section I Why Should You Care About Data?
  • 1. Data, Fact, and Your Gut            
    • What Kind of Data Is Important?
    • Basic Data Characteristics and Attributes
    • Creating Effective Data
    • How Do You Know to Trust the Data?
    • Summary
  • 2. Data: The Key to a Complete View of Your Customer
    • Data and the 360-Degree View
    • Obstacles to a 360-Degree View
  • 3. Data and Compliance
    • Compliance and Data Management
    • Information Security and Risk Management
    • Information Security Legislation and Standards
    • Information Security and Data Management Implications
    • Data Privacy Legislation and Standards
    • Data Privacy and Data Management Implications
    • Financial Reporting Legislation and Standards
    • Financial Reporting and Data Implications
    • Summary
  • 4. Data and Performance Measurement
    • What Is Business Performance Management (BPM) Anyway?
    • What Makes a BPM Application Difficult?
    • Data Challenges
    • Twelve Steps to Making BPM Work
    • Data Management Implications
    • Summary
  • 5 . Growing and Managing a Data Culture
    • A Hierarchy of Human Needs
    • A Hierarchy of Data Needs
    • Implementing a Data Management Culture
    • Summary

Section II Making Data Work for You
  • 6. The Ballad of “Bad Data”
    • The Data’s Bad!
    • Wally’s Dilemma
    • The Ninety-day Project
    • Nine Months Later
    • It’s Not Easy
  • 7. Start at the Top: Putting Data Management on the Executive             Agenda
    • Ways to Get Management Attention
    • Summary
  • 8. Managing Data as a Company Asset
    • Asset Inventory
    • The Enterprise Metadata Repository
    • Who Should the Enterprise Metadata Owner Be?
    • The Benefits of Metadata
    • Obstacles to Creating an Enterprise Metadata Repository
    • Determining the Data Asset Value
    • Roles and Responsibilities
    • Policies and Procedures
    • Asset Management and Accountability
    • Summary
  • 9. Deploying Enterprise Data Management in Stages
    • Addressing the Safety Needs of Reliability and Consistency
    • Addressing Data Quality
    • Three Myths of Data Quality
    • Who Is Responsible for Data Quality
    • How Do You Manage Data Quality?
    • What Actions Should You Take to Ensure Ongoing Data Quality?
    • Where Should You Start a Data-quality Program?
    • Addressing Privacy and Security
    • Summary
    • For Further Reading
  • 10. Establishing Accountability and Governance
    • Appointing a Data Leader
    • Why a Chief Data Officer for Your Firm?
    • What Are the Chief Data Officer’s Responsibilities?
    • What Are the Skills and Characteristics of the CDO?
    • Who Should the Chief Data Officer Report to Within the Firm?
    • What Are Some Measurements of Success for the CDO?
    • Is the Chief Data Officer a Permanent Position?
    • Appointing Business Data Stewards
    • Why Do You Need a Business Data Steward?
    • How Should You Think About Business Data Stewards and Their Mission?
    • What Are the Attributes of an Effective Business Data Steward?
    • What Level Is the Business Data Steward and to Whom Does the Steward Report?
    • Getting Started with Limited Resources
    • How to Ensure a Successful Business Data Stewardship Program in Your Organization
    • Training the Business Data Steward
    • What Governance and Management Systems Should a Chief Data Officer Employ?
    • A Matrix Organization: Business Data Steward and Chief Data Officer
    • Assessing and Measuring Progress of Data Management Maturity
    • Data Management Scorecard
    • Summary
    • For More Information
  • 11. Get Talent: Securing the Right Data Skills
    • Skills of the Information Management Professional
    • To Certify or Not to Certify?
    • Summary
  • 12. Communicate and Educate: Selling Data and Overcoming Resistance
    • Changing Attitudes About Data
    • Dealing with Resistance—The Chief Data Officer’s Challenge
    • Selling the Benefits of Data Management
    • Summary