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The Data Strategy and Governance Toolkit

The Data Strategy and Governance Toolkit


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About the Book

Data is your company's greatest asset and its greatest risk. Correctly harnessed at the heart of your organisation it has the power to drive strategic decisions and ultimately revenue and profit growth. Unfortunately, as recent news stories have illustrated, the security and compliance of data also poses great financial and reputational risk for a company. By following the guidance set out within The Data Strategy and Governance Toolkit you will not only have the peace of mind knowing that you are 100% compliant, but also the skills to leverage your data so that it becomes your company's most powerful asset. In addition this report will show you step-by-step how to clear hurdles, including resistance to change. This definitive report will give you: *A definition of what information and data quality actually is, its strategic and operational importance, and how it can be measured; *The key drivers: operationally, strategically and from a regulatory perspective, with an emphasis on how data quality approaches can help when addressing data protection and privacy challenges; *Key proven frameworks and methodologies that can be used to structure information quality initiatives to secure quick wins while working towards longer-term success; *The relevant standards and regulations which relate to information and data quality, including insights into how an information quality principles-based approach can help compliance objectives under ISO27001, COBIT, Solvency II and other high priority standards; *An understanding of the role of and risks arising from cloud computing in the context of information quality; *Practical tools and approaches to defining and communicating your strategy for information quality improvement, including defining the value propositions and the use of story and narrative to communicate; and the three strategies you will need to plan for in order to have a sustainable Information Quality change in your organisation; *Approaches to gathering information for and constructing the formal business cases for your information quality projects; and the critical importance of having a business case that demonstrates the value of your approach, even if it is one you prepare as part of an after action review of your projects; and *Common pitfalls and barriers that are encountered in the roll-out of information quality change, with potential solutions to tackling some of the most common. Featuring six case studies this report provides a complete framework for developing an effective information management strategy.

Table of Contents:
Chapter 1: What is data quality?...1 Defining data and information...1 Defining information and data quality...3 Richard Wang ...5 David Loshin...9 Dr. Thomas C. Redman...14 Quality of data values...19 Larry P. English...21 Conclusion...24 Chapter 2: Drivers for information and data quality...27 What are the drivers?...27 Compliance with statutory regulations...28 Data privacy...30 Data migrations...31 Business intelligence...31 Risk management...32 Service-oriented architecture...33 Master data management...34 Civil litigation...34 Evolution from COTS to cloud...35 Chapter 3: Useful methodologies and frameworks...39 Dr. Tom Redman...39 Larry P. English...48 Danette McGilvray...58 David Loshin...68 Chapter 4: Common themes and insights...73 Information is an asset with a life cycle...73 Data cleansing - Not information/data quality management...73 Information quality - Not a software solution or an IT issue...74 Continuous improvement - An important element of information quality management...74 Information quality - Affected by the quality of your processes...74 Information quality cannot be pursued for its own sake...75 Governance is critical to sustained success...75 Chapter 5: Standards and regulations...81 Regulations and compliance...81 Solvency II...82 Basel III...84 Data protection/data privacy laws and BS10012:2009...85 ISO27001/ISO27002...89 COBIT framework...91 ISO8000...94 Chapter 6: Data quality and the cloud...99 The role of data...99 Challenges and risks...100 Impact on operational costs...101 Shifting silos...101 Privacy, security and other concerns...103 Opportunities and benefits...104 Impact on costs and flexibility...104 Master data and reference data as a service...105 How cloud should affect your information quality strategy...107 Impact on technology...107 Impact on data and information...108 Impact on governance...108 Chapter 7: Defining effective strategies for information quality success...111 Change management...111 Dissatisfaction with the status quo...112 Strategic tools to support change...122 The defining profitable value framework...127 The value delivery system...129 Tactical tools to support strategy execution...132 Building a managerial rapport...138 Chapter 8: Building the business case ...143 Developing the forward-looking investment business case...143 Levels of dissatisfaction...145 The Data Strategy and Governance Toolkit A-Fiction's business case...147 Building the retrospective comparative business case...149 Programme level RCBC...151 Chapter 9: Barriers to change - Overcoming them and sustaining the transformation...155 Common barriers and pitfalls...155 Overcoming barriers...159 Politics...163 Business and IT trust and cooperation...165 The art and technology of 'managing on the horizontal'...166 The psychology of risk and reward in change management...167 Chapter 10: Conclusion...171 Summary of key guiding principles...171 The new information age...173 Overview of case studies...175 Conclusions developed from case studies...175 Case study 1: Corporate data quality management in a European telco...177 Driver for information quality project...177 Support and ownership...177 Methodology and tools...178 Case study 2: Information quality change in a US telecoms data provider...183 Driver for the information quality project...183 Support and ownership...184 Methodology and tools...185 People versus technology...185 Prioritising higher value/higher impact data sets...186 Process improvement to prevent problems recurring...187 Embedding and sustaining the information quality change...188 Case study 3: European telecommunications company (fixed/mobile/ISP)...191 Main driver for information quality...191 Support and ownership...191 Methodology and tools...192 Process improvement to prevent problems recurring...194 Embedding and sustaining the information quality change...194 Case study 4: Australasian government agency...197 Drivers for information quality...197 Methodologies and tools...197 Overcoming barriers...198 Case study 5: Northern European financial services company...199 Drivers for information quality...199 Support and ownership...200 Methodology and tools...201 Embedding and sustaining the information quality change...201 Overcoming barriers...202 Case study 6: Telecommunications provider (EU)...205 Drivers for information quality...205 Support and ownership...206 Methodology and tools...206 Embedding and sustaining the information quality change...207 Strategically overcoming barriers...207 Appendix 1: Mapping virtuous cycle to IQ objectives (based on Loshin 2011)...209 Appendix 2: Crafting a story - An example...215 Appendix 3: Additional resources...217 Index...219

About the Author :
Daragh O'BRIEN is managing director of Castlebridge Associates, one of Ireland's leading consulting and training companies specialising in the field of information quality management. Prior to founding Castlebridge Associates, Daragh worked for over a decade with a leading Irish telecommunications company in a variety complex information management projects, from single view of customer to compliance controls, with hands-on experience of technical issues, information quality challenges and the strategic change management needs at the heart of such projects. Daragh is a charter member of the International Association for Information and Data Quality (IAIDQ). In 2008, he was awarded a fellowship of the Irish Computer Society for his contributions to the information/data quality profession. He is a former director of the IAIDQ and chairs the IAIDQ's Irish community of practice, which is run in partnership with the Irish Computer Society under the IQ Network brand. He lectures on Legal Issues in Informatics on the European MSc in Business Informatics at Dublin City University and was an active contributor to the development of the IAIDQ's Information Quality Certified Practitioner (IQCP) accreditation. He is a lead tutor for the Irish Computer Society's professional accreditation in data protection practice. A regular presenter at information quality conferences internationally, Daragh has worked with clients in healthcare, financial services, government services and telecommunications on a broad range of information quality and data governance issues. He has also written extensively on these topics. His consulting clients include clients in healthcare, education services, start-up companies, government departments and financial services. Daragh is a frequent writer on his company website (www.castlebridge-associates.com) and his personal blog (www.obriend.info). He also maintains the IQTrainwrecks.com website (www.iqtrainwrecks.com) on behalf of the IAIDQ (www.iaidq.org).


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Product Details
  • ISBN-13: 9781907787676
  • Publisher: Globe Law and Business Ltd
  • Publisher Imprint: Ark Group
  • No of Pages: 219
  • ISBN-10: 1907787674
  • Publisher Date: 28 May 2011
  • Binding: Paperback


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