The Enterprise Data Model Wouldn't it be great to understand all the data in your organisation? Just imagine being able to define, agree and manage information concepts that impact on business strategy? Then image that these information concepts can be linked to the physical database attributes that ultimately are used to create them. That's what this book is about. It focuses on the data model as the foundation for achiev... Full description
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Wouldn't it be great to understand all the data in your organisation? Just imagine being able to define, agree and manage information concepts that impact on business strategy? Then image that these information concepts can be linked to the physical database attributes that ultimately are used to create them. That's what this book is about. It focuses on the data model as the foundation for achieving this understanding. This book provides a framework for the enterprise data model, the business reasons behind it and the differences between conceptual, logical and physical data models. The question of how, and why, to use a data model artifact as part of the data governance toolkit for the whole enterprise is also addressed. This publication is not an in-depth manual on how to model data for a new database system or your next design project. It instead focuses at a level above these implementation projects and addresses the issues that organisations typical struggling with such as: * How do we provide a framework within which we can manage our data assets? * How do we develop applications that adhere to a set of data standards; without creating a nightmare of administration and governance that is both unwieldy and unusable? * How can we get business value from our enterprise data? Chapter headings are: * Chapter 1 - Introduction * Chapter 2 - Information and Data * Chapter 3 - Pillars of Value * Chapter 4 - An Overview of Data Modelling * Chapter 5 - Data Architecture * Chapter 6 - The Enterprise Data Model * Chapter 7 - Build the Model one Project at a Time * Chapter 8 - Master Data * Chapter 9 - Data Governance * Chapter 10 - The Enterprise Data Framework This 2nd edition revises the original text to add extra details around key areas such as the enterprise data model framework and the pillars of value. It also improves the quality of the original text.
Andy Graham is an independent consultant specialising in data and information architecture As such he is primarily a hand’s on person actively working with customers to develop their information and data management capabilities. Andy has worked over recent years with organisations across most industry sectors including financial services, government, utility, exploration, pharmaceutical, FMCG, telecom and leisure. Andy was formerly Regional Manager of Sybase’s Northern European Business Intelligence organisation. While at Sybase, he played a key role in building the BI organisation across EMEA and was instrumental in the delivery of many successful enterprise information solutions. Prior to this, Andy worked for Hummingbird (formally Andyne) as the UK Consultancy Manager where he was responsible for the development of a full spectrum professional services organisation to complement the companies’ software offerings. Andy also worked for Business Objects were he was one of the founding members of the UK organisation and as such was responsible for the success of many customer implementations and information strategies.
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