Beschreibung
InhaltsangabeMany organizations find that they cannot rely on the information that serves as the very foundation of their business. Unreliable data-whether about your customers, your products, or your suppliers-hinders understanding and affects your bottom line. It seems simple: better data leads to better decisions, which ultimately leads to better business. So why don't executives take data quality and data governance more seriously? The Data Asset: How Smart Companies Govern Their Data for Business Success explores the new shift in the way that successful businesses are thinking about and treating data, moving from simply producing data to a focus on consuming data. Providing you with guidance for building the business case for data quality and data governance, this book also helps you develop the methodologies and processes that will enable your organization to better treat your data as a strategic asset. Author and data quality expert Tony Fisher outlines the rules of data governance and looks at how your business can improve data quality, as well as plan and implement an effective data governance program, with discussion of: * Risk mitigation * Cost control * Revenue optimization * Data quality and data governance * Undisciplined organizations * Reactive and proactive organizations * Technologies required for effective data quality and data governance Part of the Wiley and SAS Business Series, The Data Asset: How Smart Companies Govern Their Data for Business Success reveals how to get your data to work for you without breaking the bank or scrapping your current solutions. Making the case for ridding your organization of undependable data and the opportunities that exist when you treat data as a strategic advantage, this book proves-regardless of the industry that your company is in or the business issues that you face-that managing your data is vital to achieving your goals and keeping your business successful.
Inhaltsverzeichnis
Foreword, by Ron Powell. Acknowledgments. Introduction. PART ONE: BUILDING THE BUSINESS CASE FOR DATA GOVERNANCE. CHAPTER 1 Making the Case for Better Data. CHAPTER 2 Risk Mitigation: How Quality Data Keeps Your Company Out of Trouble. CHAPTER 3 Controlling Costs with Accurate and Reliable Data. CHAPTER 4 Optimizing Revenue with Quality Data. PART TWO: THE DATA GOVERNANCE MATURITY MODEL. CHAPTER 5 Governing Your Data. CHAPTER 6 Undisciplined Organizations: Disasters Waiting to Happen. CHAPTER 7 Reactive Organizations: Trying to Get Beyond Crisis Mode. CHAPTER 8 Proactive Organizations: Reducing Risk, Avoiding Uncertainty. CHAPTER 9 Governed Organizations: Trust in Data Pays Multiple Benefits. PART THREE: UTILIZING PEOPLE AND PROCESSES TO ACHIEVE A QUALITY CULTURE. CHAPTER10 The Quality Culture. CHAPTER11 People. CHAPTER12 Processes. PART FOUR: CLOSING THE LOOP: SELECTING THE RIGHT TECHNOLOGY FOR YOUR ORGANIZATION. CHAPTER13 Undisciplined Organizations: Discovering the Value of Data Quality Tools. CHAPTER14 Reactive Organizations: Choose the Technology That Gets the Most from Your Applications. CHAPTER15 Proactive Organizations: Bridging the Chasm and Becoming Proactive. CHAPTER16 Governed Organizations: Moving Beyond Data to Business Process Automation. Glossary. Index.
Autorenporträt
Tony Fisher is President and CEO of DataFlux, a wholly owned subsidiary of SAS, that enables companies to analyze, improve, and control their data through an integrated technology platform. He has guided DataFlux through tremendous growth as it became a market-leading provider of data quality and data integration solutions and speaks throughout the world on emerging trends in data quality, data integration, and master data management, as well as how better management of data leads to business optimization.