IRM UK Recommended Reading
The following is a list of selected books authored, co-authored or recommended by speakers from our upcoming and past events. We have split them into four categories as follows:
We also publish a Free Monthly E-newsletter with contributions from our speakers - if you would like to subscribe please click here. Our Conference Slides are also available to purchase on CD - these include all of the tutorial and conference sessions for each event, for more information on these please click here.
Please click on the title below to take you to a brief description of the book and links to Amazon.co.uk for ordering:
- Better Data Quality From Your Web Form - Effective International name and address Internet data collection, Graham Rhind
- Building and Managing The Meta Data Repository, David Marco
- Building Corporate Portals with XML, Clive Finkelstein and Peter Aiken
- Building the Agile Database: How to Build a Successful Application Using Agile without Sacrificing Data Management, Larry Burns
- Building the Operational Data Store, William Inmon
- Building the Unstructured Data Warehouse: Architecture, Analysis & Design, W. H. Inmon & Krish Krishnan
- DAMA-DMBOK Guide: The DAMA Guide to the Data Management Body of Knowledge, Edited by Susan Earley
- Data Driven: Profiting from Your Most Important Business Asset, Thomas C. Redman
- Data Mining: Practical Machine Learning Tools and Techniques, Ian Witten, Eibe Frank, Mark Hall
- Data Modeler's Workbench, Steve Hoberman
- Data Modeling Essentials: Analysis Design & Innovation, Graeme Simsion & Graham Witt
- Data Modeling For The Business, Steve Hoberman
- Data Modeling Made Simple, Steve Hoberman
- Data Modeling Made Simple With CA ERwin r8, Donna Burbank, Steve Hoberman
- Data Modeling Made Simple With PowerDesigner, Steve Hoberman and George McGeachie
- Data Modeling: Theory and Practice, Graeme Simsion
- Data Quality: the Accuracy Dimension, Jack Olson
- Data Quality: the Field Guide, Thomas C. Redman
- Data Quality Assessment, Arkady Maydanchik
- Data Resource Simplexity: How Organizations Choose Data Resource Success or Failure, Michael Brackett
- Data Resource Quality: Turning Bad Habits into Good Practices, Michael Brackett
- Enterprise Model Patterns: Describing the World, David C. Hay
- Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information™, Danette McGilvray
- Foundation for Future Database Systems: The Third Manifesto, Chris Date
- Improving Data Warehouse and Business Information Quality: Methods for Reducing Costs and Increasing Profits, Larry English
- Information Masters: Secrets of the Customer Race, John McKean
- Information Quality Applied, Larry English
- Making Enterprise Information Management Work for Business, John Ladley
- Managing Reference Data in Enterprise Databases, Malcolm Chisholm
- Master Data Management, David Loshin
- Practical International Data Management - A Guide to Working with Global Names and Addresses, Graham Rhind
- Principles of Data Management: Facilitating Information Sharing, Keith Gordon
- Spreadsheet Check and Controls, Patrick O'Beirne
- Temporal Data and the Relational Model, Chris Date
- The DAMA Dictionary of Data Management: Over 2,000 Terms Defined for It and Business Professionals, Edited by Susan Earley
- The Data Asset: How Smart Companies Govern Their Data For Business Success, Tony Fisher
- The Data Model Resource Book, A Library of Data Models for Specific Industries, Len Silverston
- The Data Model Resource Book, A Library of Universal Data Models for all Enterprises, Len Silverston
- The Global Sourcebook for Name and Address Data Management, Graham Rhind
- The Hidden Corporation: A Data Management Security Novel, David Schlesinger
- The Practitioners Guide to Data Quality Improvement, David Loshin
- UML and Data Modeling: A Reconciliation, David C. Hay
- Universal Meta Data Models, David Marco
- Adrenaline Junkies and Template Zombies: Understanding Patterns of Project Behavior, Suzanne and James Robertson
- Business Process Management, Profiting from Process, Roger Burlton
- Business Rule Concepts, Ronald Ross
- Complete Systems Analysis, James and Suzanne Robertson
- Distributed Agile: DH2A -- The Proven Agile Software Development Approach & Toolkit for Geographically Dispersed Teams, Upadrista Venkatesh
- How Work Gets Done: Business Process Management, Basics & Beyond, Artie Mahal
- Mastering the Requirements Process, James and Suzanne Robertson
- Peopleware: Productive Projects and Teams, Tom DeMarco and Tim Lister
- Project Management in the Real World, Elizabeth Harrin
- Requirements Led Project Management, James and Suzanne Robertson
- Social Media for Project Managers, Elizabeth Harrin
- Workflow Modelling: Tools for Process Improvement and Application Development, Alec Sharp
- Business/IT Fusion: How to move beyond Alignment and transform IT in your organization, Peter Hinssen and Jeroen Derynck
- Developing Directors: A Handbook for Building an Effective Boardroom Team, Colin Coulson-Thomas
- Finance for IT Decision Makers, Michael Blackstaff
- fruITion: Creating the Ultimate Corporate Strategy for Information Technology, Chris Potts
- The Deadline, Tom DeMarco
- The Naked Corporation: How the Age of Transparency Will Revolutionize Business, Don Tapscott
- Winning Companies; Winning People: Making it easy for average performers to adopt winning behaviours, Colin Coulson-Thomas
- DefrICtion: Unleashing your Enterprise to Create Value from Change (FruITion), Chris Potts
- recrEAtion: Realizing the Extraordinary Contribution of Your Enterprise Architects, Chris Potts
- Service Orientation: Winning Strategies and Best Practices, Paul Allen
- TOGAF 9 Pocket Guide
- TOGAF 9 Book
|Better Data Quality From Your Web Form - Effective International name and address Internet data collection
Graham Rhind - FREE BOOK
Web forms are a source of immense and continuous frustration for many people as the forms almost universally fail to take any account of variations in personal name and addressing conventions used throughout the world, so that customers have to struggle to clear the hurdles placed in their way by the forms. Reports suggest that almost 9 out of 10 customers have problems when attempting to carry out online transactions, and the result is a huge loss of income from lost custom paired with the collection of very poor quality data. This e-book (in Acrobat pdf format), which is free to download and use, attempts to fill the gap left by most works about usability by concentrating on the experience that your international customers have with your form, and how it affects them, their relationship with you and your data quality. This has been done using many examples and without going into too much depth about the idiosyncrasies of international personal names and addresses, and avoids technical discussions – links to get more information are provided where appropriate in the text.
|Building and Managing The Meta Data Repository
Meta data repositories can provide your company with tremendous value if they are used properly and if you understand what they can, and can't, do. Written by David Marco, the industry's leading authority on meta data and well-known columnist for DM Review, this book offers all the guidance you'll need for developing, deploying, and managing a meta data repository to gain a competitive advantage. After illustrating the fundamental concepts, Marco shows you how to use meta data to increase your company's revenue and decrease expenses. You'll find a comprehensive look at the major trends affecting the meta data industry, as well as steps on how to build a repository that is flexible enough to adapt to future changes. This vendor-neutral guide also includes complete coverage of meta data sources, standards, and architecture, and it explores the full gamut of practical implementation issues. Taking you step-by-step through the process of implementing a meta data repository, Marco shows you how to: - Evaluate meta data tools Build the meta data project plan - Design a custom meta data architecture - Staff a repository team - Implement data quality through meta data - Create a physical meta data model - Evaluate meta data delivery requirements.
|Building Corporate Portals with XML
Clive Finkelstein and Peter Aiken
Getting a handle on an organization's related internal and external information is a daunting task. Building Corporate Portals with XML is a guide to moving to integrated Web portals to serve internal processes, external partners, and customers. Heavily laden with theory, this title is best suited to system architects rather than developers under tight time constraints. Coauthor Clive Finkelstein is the creator of the Information Engineering methodology, which he uses to suggest approaches to moving legacy and relational data to portal access using XML as the information backbone. The discussions are thought-provoking and quite informative, but the acronym-heavy presentation is not for everyone. After laying out the basic portal concepts, the authors move into the process of designing scalable information systems and modeling their data appropriately. The heart of the book focuses on enterprise metadata, how to define it, and how to implement it via XML. There are some concise examples of XML metadata implementation, but they are nestled within a rather complex discussion of the process of information analysis. Although the focus of this title is Web portals, the majority of the book does not focus on Web site interfaces. Instead it probes deeper, offering a mile-high view of how to approach a wide-scale portal project. Don't look to this book for code snippets to implement on your Web site--instead, use it to develop a data-oriented mindset. Topics covered: Strategic business planning, data modeling, metadata analysis and engineering, XML business reengineering, and quality initiatives.
|Building the Agile Database: How to Build a Successful Application Using Agile without Sacrificing Data Management
Is fast development the enemy of good development? Not necessarily. Agile development requires that databases are designed and built quickly enough to meet fast-based delivery schedules - but in a way that also delivers maximum business value and reuse. How can these requirements both be satisfied? This book, suitable for practitioners at all levels, will explain how to design and build enterprise-quality high-value databases within the constraints of an Agile project. Starting with an overview of the business case for good data management practices, the book defines the various stakeholder groups involved in the software development process, explains the economics of software development (including "time to market" versus "time to money"), and describes an approach to Agile database development based on the five PRISM principles. This book explains how to work with application developers and other stakeholders, examines critical issues in Agile Development and Data Management, and describes how developers and data professionals can work together to make Agile projects successful while delivering maximum value data to the enterprise. The book will serve as an excellent reference for application developers, data managers, DBAs, project managers, Scrum Masters and IT managers looking to get more value from their development efforts.
Operational Data Store
The most comprehensive guide to building, using, and managing the operational data store. Building the Operational Data Store, Second Edition. In the five years since the publication of the first edition of this book, the operational data store has grown from an intriguing concept to an exciting reality at enterprise organizations, worldwide. Still the only guide on the subject, this revised and expanded edition of Bill Inmon's classic goes beyond the theory of the first edition to provide detailed, practical guidance on designing, building, managing, and getting the most of an ODS. With the help of fascinating and instructive case studies, Inmon shares what he knows about: How the ODS fits with the corporate information factory - Different types of ODS and how to choose the right one for your organization - Designing and building an ODS from scratch - Managing and fine-tuning an ODS for peak efficiency - ODS support technology - The pros and cons of competing off-the-shelf ODS products - The advantages and disadvantages of various hardware and software platforms - Integrating the ODS with data marts - Distributed metadata using the ODS - Data aggregation within the ODS - Business process reengineering and the ODS. - The role of standards in the ODS.
|Building the Unstructured Data Warehouse: Architecture, Analysis & Design
W. H. Inmon & Krish Krishnan
Learn essential techniques from data warehouse legend Bill Inmon on how to build the reporting environment your business needs now! Answers for many valuable business questions hide in text. How well can your existing reporting environment extract the necessary text from email, spreadsheets, and documents, and put it in a useful format for analytics and reporting? Transforming the traditional data warehouse into an efficient unstructured data warehouse requires additional skills from the analyst, architect, designer, and developer. This book will prepare you to successfully implement an unstructured data warehouse and, through clear explanations, examples, and case studies, you will learn new techniques and tips to successfully obtain and analyse text.
|DAMA-DMBOK Guide: The DAMA Guide to the Data Management Body of Knowledge
Edited by Susan Earley
Written by over 120 data management practitioners, this is the most impressive compilation of data management principals and best practices, ever assembled. It provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure. The equivalent of the "PMBOK" or the "BABOK", the "DAMA-DMBOK" provides information on: Data Governance; Data Architecture Management; Data Development; Database Operations Management; Data Security Management; Reference & Master Data Management; Data Warehousing & Business Intelligence Management; Document & Content Management; Meta Data Management; Data Quality Management; and Professional Development. As an authoritative introduction to data management, the goals of the "DAMA-DMBOK Guide" are: to build consensus for a generally applicable view of data management functions; to provide standard definitions for commonly used data management functions, deliverables, roles, and other terminology; to document guiding principles for data management; to present a vendor-neutral overview to commonly accepted good practices, widely adopted methods and techniques, and significant alternative approaches; to clarify the scope and boundaries of data management; and to act as a reference which guides readers to additional resources for further understanding.
|Data Driven: Profiting from Your Most Important Business Asset
Thomas C. Redman
Your company's data has the potential to add enormous value to every facet of the organization - from marketing and new product development to strategy to financial management. Yet if your company is like most, it's not using its data to create strategic advantage. Data sits around unused - or incorrect data fouls up operations and decision making. In Data Driven, Thomas Redman, the "Data Doc," shows how to leverage and deploy data to sharpen your company's competitive edge and enhance its profitability. Your company's data is a key business asset, and you need to manage it aggressively and professionally. Whether you're a top executive, an aspiring leader, or a product-line manager, this eye-opening book provides the tools and thinking you need to do that.
Practical Machine Learning Tools and Techniques
Ian Wittenm Eibe Frank, Mark Hall
This publication offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining. Thorough updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi-instance Learning, plus a new version of the popular Weka machine learning software developed by the authors. Witten, Frank, and Hall include both tried-and-true techniques of today as well as methods at the leading edge of contemporary research.
|Data Modeler's Workbench
Data modelers render raw data-names, addresses, and sales totals, for instance-into information such as customer profiles and seasonal buying patterns that can be used for making critical business decisions. This book brings together thirty of the most effective tools for solving common modeling problems. The author provides an example of each tool and describes what it is, why it is needed, and how it is generally used to model data for both databases and data warehouses, along with tips and warnings. Blank sample copies of all worksheets and checklists described are provided in an appendix. A data model is the heart and soul of any application, providing a foundation for efficient data entry and retrieval. It needs to be consistent with other models within your organization, accurately capture the current business requirements, and evolve to support changing business needs. Data Modeler's Workbench contains more than twenty finely tuned tools aimed at improving the speed, accuracy, flexibility, and consistency of your database, data warehouse, and operational applications. Steve Hoberman explains each tool with the help of detailed examples, showing how to apply each tool and where in the operational and reporting environment each tool is most effective. You can customize the tools in this book for your particular industry, organization, or project.
The companion Web site features:
Related IRM UK Seminar: Data Modelling Fundamentals: Build a Foundation in Data Modelling Concepts and Techniques!
|Data Modeling Essentials: Analysis Design
Graeme Simsion & Graham Witt
This book provides expert tutelage for data modelers, business analysts and systems designers at all levels. Beginning with the basics, this book provides a thorough grounding in theory before guiding the reader through the various stages of applied data modeling and database design. Later chapters address advanced subjects, including business rules, data warehousing, enterprise-wide modeling and data management. The third edition of this popular book retains its distinctive hallmarks of readability and usefulness, but has been given significantly expanded coverage and reorganized for greater reader comprehension. Authored by two leaders in the field, Data Modeling Essentials, Third Edition is the ideal reference for professionals and students looking for a real-world perspective. Thorough coverage of the fundamentals and relevant theory. Recognition and support for the creative side of the process. Expanded coverage of applied data modeling includes new chapters on logical and physical database design. New material describing a powerful technique for model verification. Unique coverage of the practical and human aspects of modeling, such as working with business specialists, managing change, and resolving conflict. Extensive online component including course notes and other teaching aids.
For the Business
Did you ever try getting Businesspeople and IT to agree on the project scope for a new application? Or try getting Marketing and Sales to agree on the target audience? Or try bringing new team members up to speed on the hundreds of tables in your data warehouse — without them dozing off? Whether you are a businessperson or an IT professional, you can be the hero in each of these and hundreds of other scenarios by building a High-Level Data Model. The High-Level Data Model is a simplified view of our complex environment. It can be a powerful communication tool of the key concepts within our application development projects, business intelligence and master data management programs, and all enterprise and industry initiatives. Learn about the High-Level Data Model and master the techniques for building one, including a comprehensive ten-step approach and hands-on exercises to help you practice topics on your own. In this book, we review data modeling basics and explain why the core concepts stored in a high-level data model can have significant business impact on an organization. We explain the technical notation used for a data model and walk through some simple examples of building a high-level data model. We also describe how data models relate to other key initiatives you may have heard of or may be implementing in your organization.
Related IRM UK Seminar: Data Modelling Masterclass: Sharpen Your Data Modelling Skills!
|Data Modeling Made Simple
Read today's business headlines and you will see that many issues stem from people not having the right data at the right time. Data issues don't always make the front page, yet they exist within every organisation. We need to improve how we manage data - and the most valuable tool for explaining, validating and managing data is a data model. This book provides the business or IT professional with a practical working knowledge of data modelling concepts and best practices. This book is written in a conversational style that encourages you to read it from start to finish and master these ten objectives: know when a data model is needed and which type of data model is most effective for each situation; read a data model of any size and complexity with the same confidence as reading a book; build a fully normalised relational data model, as well as an easily navigable dimensional model; apply techniques to turn a logical data model into an efficient physical design; leverage several templates to make requirements gathering more efficient and accurate; explain all ten categories of the Data Model Scorecard[registered]; learn strategies to improve your working relationships with others; appreciate the impact unstructured data has, and will have, on our data modelling deliverables; learn basic UML concepts; and, put data modelling in context with XML, metadata, and agile development.
Related IRM UK Seminar: Data Modelling Fundamentals: Build a Foundation in Data Modelling Concepts and Techniques!
|Data Modeling Made Simple With CA ERwin r8
Donna Burbank, Steve Hoberman
Data Modeling Made Simple with CA ERwin Data Modeler r8 will provide the business or IT professional with a practical working knowledge of data modeling concepts and best practices, and how to apply these principles with CA ERwin Data Modeler r8. You'll build many CA ERwin data models along the way, mastering first the fundamentals and later in the book the more advanced features of CA ERwin Data Modeler..
Related IRM UK Seminar: Data Modelling Fundamentals: Build a Foundation in Data Modelling Concepts and Techniques!
|Data Modeling Made Simple With PowerDesigner
Steve Hoberman and George McGeachie
This book will provide the business or IT professional with a practical working knowledge of data modelling concepts and best practices, and how to apply these principles with PowerDesigner. You will build many PowerDesigner data models along the way, increasing your skills in first the fundamentals and later in the book the more advanced features of PowerDesigner.
|Data Modeling: Theory and Practice
This book is for practitioners and academics who have learned the conventions and rules of data modelling and are looking for a deeper understanding of the discipline. The coverage of theory includes a detailed review of the extensive literature on data modelling and logical database design, referencing nearly 500 publications, with a strong focus on their relevance to practice. The practice component incorporates the largest-ever study of data modelling practitioners, involving over 450 participants in interviews, surveys and data modelling tasks. The results challenge many long-standing held assumptions about data modelling and will be of interest to academics and practitioners alike. Graeme Simsion brings to the book the practical perspective and intellectual clarity that have made his "Data Modelling Essentials" a classic in the field. He begins with a question about the nature of data modelling (design or description), and uses it to illuminate such issues as the definition of data modelling, its philosophical underpinnings, inputs and deliverables, the necessary behaviours and skills, the role of creativity, product diversity, quality measures, personal styles, and the differences between experts and novices. "Data Modeling: Theory and Practice" is essential reading for anyone involved in data modelling practice, research, or teaching.
|Data Quality: The Accuracy Dimension
Data Quality: The Accuracy Dimension is about assessing the quality of corporate data and improving its accuracy using the data profiling method. Corporate data is increasingly important as companies continue to find new ways to use it. Likewise, improving the accuracy of data in information systems is fast becoming a major goal as companies realize how much it affects their bottom line. Data profiling is a new technology that supports and enhances the accuracy of databases throughout major IT shops. Jack Olson explains data profiling and shows how it fits into the larger picture of data quality. * Provides an accessible, enjoyable introduction to the subject of data accuracy, peppered with real-world anecdotes. * Provides a framework for data profiling with a discussion of analytical tools appropriate for assessing data accuracy. * Is written by one of the original developers of data profiling technology. * Is a must-read for any data management staff, IT management staff, and CIOs of companies with data assets.
|Data Quality: the Field Guide
Thomas C. Redman
Can any subject inspire less excitement than "data quality"? Yet a moment's thought reveals the ever-growing importance of quality data. From restated corporate earnings, to incorrect prices on the web, to the bombing of the Chinese Embassy, the media reports the impact of poor data quality on a daily basis. Every business operation creates or consumes huge quantities of data. If the data are wrong, time, money, and reputation are lost. In today's environment, every leader, every decision maker, every operational manager, every consumer, indeed everyone has a vested interest in data quality. Data Quality: The Field Guide provides the practical guidance needed to start and advance a data quality program. It motivates interest in data quality, describes the most important data quality problems facing the typical organization, and outlines what an organization must do to improve. It consists of 36 short chapters in an easy-to-use field guide format. Each chapter describes a single issue and how to address it. The book begins with sections that describe why leaders, whether CIOs, CFOs, or CEOs, should be concerned with data quality. It explains the pros and cons of approaches for addressing the issue. It explains what those organizations with the best data do. And it lays bare the social issues that prevent organizations from making headway. "Field tips" at the end of each chapter summarize the most important points.
Data Quality Assessment
|Data Resource Simplexity: How Organizations Choose Data Resource Success or Failure
Do you fully understand all the data in your organisation's data resource? Can you readily find and easily access the data you need to support your business activities? If you find multiple sets of the same data, can you readily determine which is the most current and correct? No? Then consider this book essential reading. It will help you develop a high quality data resource that supports business needs. The book explains how a data resource goes disparate, how to stop that trend toward disparity, and how to develop a high quality, comparate data resource. It explains how to stop the costly business impacts of disparate data. It explains both the architectural and the cultural aspects of developing a comparate data resource. It explains how to manage data as a critical resource equivalent to the other critical resources of an organisation - finances, human resource, and real property. Drawing from his nearly five decades of data management experience, plus his leveraging of theories, concepts, principles, and techniques from disciplines as diverse as human dynamics, mathematics, physics, agriculture, chemistry, and biology, Michael Brackett shows how you can transform your organisation's data resource into a trusted invaluable companion for both business and data management professionals.
|Data Resource Quality: Turning Bad
Habits into Good Practices
Poor data quality hampers today's organizations in many ways: it makes data warehousing and knowledge management applications more expensive and less effective, presents major obstacles to e-Business transformation, slashes day-to-day employee productivity, and translates directly into poor strategic and tactical decisions. In this book, data expert Michael Brackett presents ten "bad habits" that lead to poor data -- and ten proven solutions that enable business managers to transform these bad habits into best practices. Data Resource Quality is organized around ten "bad habits" organizations have fallen into: habits that inevitably reduce data quality, waste resources, increase the cost of using and maintaining data resources, and compromise business strategies. In each case, Brackett shows how the "bad habits" evolved, and exactly how to replace them with best practices that can dramatically improve data quality, starting now. Along the way, Brackett demonstrates exactly how to implement a solid foundation for quality data -- an organization-wide, integrated, subject-oriented data architecture -- and then build a high-quality data resource within that architecture. For all IT managers, consultants, and application users -- in both large and small enterprises.
|Enterprise Model Patterns: Describing the World
David C. Hay
In 1995, David Hay published "Data Model Patterns: Conventions of Thought" - the groundbreaking book on how to use standard data models to describe the standard business situations. This book builds on the concepts presented there, adds 15 years of practical experience, and presents a more comprehensive view. You will learn how to apply both the abstract and concrete elements of your enterprise's architectural data model through four levels of abstraction: Level 0 - An abstract template that underlies the Level 1 model that follows, plus two meta models; Level 1 - An enterprise model that is generic enough to apply to any company or government agency, but concrete enough to be readily understood by all; Level 2 - A more detailed model describing specific functional areas; and, Level 3 - Examples of the details a model can have to address what is truly unique in a particular industry.
|Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information™
In today’s world of instant global communication and trends that turn on a dime, up-to-date and reliable information is essential to effective competition. Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information™, provides a systematic approach for improving and creating data and information quality within any organization. It delivers a methodology that combines a conceptual framework for understanding information quality with the techniques, tools, and instructions for improving and creating information quality. Every company is different, yet the underlying approach to data quality described in the book applies to all types of data, whether finance, research, development, procurement, manufacturing, sales and marketing, order management, human resources, and so on. It applies to numerous types of organizations—businesses and corporations of all sizes, educational institutions, healthcare, government agencies, and nonprofit and charitable organizations—because all depend on information to succeed. Content Highlights: Includes numerous templates, detailed examples, and practical advice for executing every step of The Ten Steps™ approach. Allows for quick reference with an easy-to-use format highlighting key concepts and definitions, important checkpoints, communication activities, and best practices.
Related IRM UK Seminar: Ten Steps to Data Quality
|Foundation for Future Database
Systems: The Third Manifesto
Foundation for Future Database Systems: The Third Manifesto offers a comprehensive, insightful proposal for the future of object/relational database management systems. Date and Darwen present a precise, formal definition of an abstract model of data that can be used as a blueprint for designing both databases and database languages -- and as a rock-solid foundation for integrating relational and object technologies. This new Second Edition has been revised extensively, with major extensions to its inheritance model; new language proposals, and improved discussions of many key concepts. The book goes beyond formal specifications, with a detailed discussion of the rationale for each proposal. It will be essential reading for everyone with a serious interest in database technology.
|Improving Data Warehouse and Business
Information Quality: Methods for Reducing Costs and Increasing Profits
This text provides solutions to data warehouse practitioners' problems. Written by an expert on database and data warehouse quality, it provides a complete guide to the best methods and tools for ensuring that business managers get the accurate and timely information they need. The book also offers a guide to the methods needed to build in and maintain good quality data that businesses can rely on for decision-making. The author takes the approach that to treat quality in the data warehouse, you must treat quality at its source. Therefore, he provides a comprehensive set of methods for achieving and maintaining total systems quality: at the source databases, where information is first collected; and at the data warehouse, where information is aggregated and reported for business use. The techniques used include: improving processes for collecting data to ensure accuracy at the source; cleansing (filtering out) inaccurate or obsolete information before it reaches the data warehouse; and re-engineering existing data warehouses to build in quality controls. The author explains the pros and cons of each approach, how to select the right data quality tools, and how to carry out a data quality improvement programme. English also covers fundamentals, such as how and when to measure quality, and describes best practices of companies that have succeeded in implementing data quality programmes.
Information Masters: Secrets of the Customer Race
How to apply data quality management techniques to marketing, sales, and other specific business units Author and information quality management expert Larry English returns with a sequel to his much-acclaimed book, Improving Data Warehouse and Business Information Quality. In this new book he takes a hands-on approach, showing how to apply the concepts outlined in the first book to specific business areas like marketing, sales, finance, and human resources. The book presents real-world scenarios so you can see how to meld data quality concepts to specific business areas such as supply chain management, product and service development, customer care, and others. Step-by-step instruction, practical techniques, and helpful templates from the author help you immediately apply best practices and start modeling your own quality initiatives.
|Making Enterprise Information Management Work for Business
Organizations of all types struggle with information. Millions of dollars are spent on ERP applications to integrate data and yet this data still isn’t accessible or relevant. Emails contain hidden liabilities. Safety manuals endanger workers. Worse, there is data and information being created and handled in every nook and cranny of large organizations, well out of view of formal oversight, but within view of customers and regulators. Thus far, any efforts to wrestle the ";data-beast"; to the ground have failed, and there exists a profound need for all levels of business management, not just IT, to understand the risks, challenges, and subsequent remediation value of treating information as a real asset. Making Enterprise Information Management (EIM) Work for Business educates executives and middle management in a way that speaks to business issues and solves business problems. The book is divided into two parts, the first of which defines EIM, addresses why it is required, and identifies the business issues surrounding it. The second part acts as a field guide, or ";how-to"; that explains how EIM can be worked into any organization via various methodologies, techniques, templates, and business case studies.
Reference Data in Enterprise Databases
This book describes the different aspects of managing reference data. It is the only book available on this topic and provides both a conceptual foundation and practical advice. It is oriented to a general audience and can be read by both IT professionals and anyone with an interest in how an enterprise should manage its information. Some data modeling notations are used, but these are explained at the beginning of the book. Reference data concepts are introduced and their importance is explored. The management consequences of the unique characteristics of reference data are then described, along with techniques for managing reference data.
The key to a successful MDM initiative isn't technology or methods, it's people: the stakeholders in the organization and their complex ownership of the data that the initiative will affect. Master Data Management equips you with a deeply practical, business-focused way of thinking about MDM-an understanding that will greatly enhance your ability to communicate with stakeholders and win their support. Moreover, it will help you deserve their support: you'll master all the details involved in planning and executing an MDM project that leads to measurable improvements in business productivity and effectiveness.
Presents a comprehensive roadmap that you can adapt to any MDM project - Emphasizes the critical goal of maintaining and improving data quality - Provides guidelines for determining which data to "master" - Examines special issues relating to master data metadata - Considers a range of MDM architectural styles - Covers the synchronization of master data across the application infrastructure.
|Practical International Data
Management - A Guide to Working with Global Names and Addresses
New data collection methods (such as the Internet), the globalization of economies and improving computer hardware and software are allowing companies to collect information about their customers and prospects in ever greater numbers and from increasingly further afield. Managing this data brings with it a whole raft of practical issues of which most companies are unaware and which, if ignored, are expensive and time-consuming to correct.This book details the problems that a company is likely to encounter and suggests, where available, solutions and ways of preventing the problems arising. Unlike other books on the subject it tackles data management from the point of view of the data and the reason for creating the database, rather than approaching it as a technical issue. Topics covered include database structure and data format, data cleaning and standardization, language issues, personal name and address component management and de-duplication.
Data Management: Facilitating Information Sharing
This professional reference guide explains not only the importance of data management and how it can be managed, but the issues facing those involved, and how to address them. Distinctively, this book is not based on a particular propriety system or software, but is business focused, providing the knowledge and techniques required to successfully implement a data management function. 'Principles of Data Management: Facilitating Information Sharing' covers practical and effective approaches to managing corporate data which will improve communication between users and information systems developers, and support an integrated and cost effective approach to data and information resource development. This book explains how to plan and implement a data management function and critically, how to understand and improve the relationships between data and database administrators, systems development teams and business users. Ultimately users become able to obtain the information they need, confident that it is based on correct underlying data. 'Principles of Data Management: Facilitating Information Sharing' also discusses the technical issues that affect data management professionals.
Check and Controls
This spreadsheet book is quite different from every other book on Microsoft Excel. If spreadsheet users had a driving licence, this would be their seat belt, air bag, navigation aid, repair kit, hazard indicators, and the rules of the road. This new book describes how to produce well-crafted spreadsheets that are easy to understand, maintain, audit, and operate. It shows how to ensure data quality and accuracy and protect against formula and operational errors. Each of the 47 techniques is explained with examples and has a self-test practical question with answers at the back of the book. The book¡¦s support web site provides sample spreadsheets for these tests. The material gives spreadsheet users more confidence in their work, and saves time chasing and fixing easily preventable errors. Those whose job is to check the work of others, whether they are software testers or auditors, will learn formula auditing techniques and be able to reveal hidden data and formulas. This book should be adopted by organizations concerned to reduce compliance costs by being able to demonstrate management of material risks and increase controls on spreadsheet based financial reporting.
|Temporal Data and the Relational
Temporal database systems are systems that provide special support for storing, querying, and updating historical and/or future data. Current DBMSs provide essentially no temporal features at all, but this situation is likely to change soon for a variety of reasons; in fact, temporal databases are virtually certain to become important sooner rather than later, in the commercial world as well as in academia. This book provides an in-depth description of the foundations and principles on which those temporal DBMSs will be built. These foundations and principles are firmly rooted in the relational model of data; thus, they represent an evolutionary step, not a revolutionary one, and they will stand the test of time.
|The DAMA Dictionary of Data Management: Over 2,000 Terms Defined for It and Business Professionals
Edited by Susan Earley
This is a glossary of over 2,000 terms which provides a common data management vocabulary for IT and Business professionals, and is a companion to the "DAMA Data Management Body of Knowledge (DAMA-DMBOK)". Topics include: Analytics & Data Mining; Architecture; Artificial Intelligence; Business Analysis; DAMA & Professional Development; Databases & Database Design; Database Administration; Data Governance & Stewardship; Data Management; Data Modeling; Data Movement & Integration; Data Quality Management; Data Security Management; Data Warehousing & Business Intelligence; Document, Record & Content Management; Finance & Accounting; Geospatial Data; Knowledge Management; Marketing & Customer Relationship Management; Meta-Data Management; Multi-dimensional & OLAP; Normalization; Object-Orientation; Parallel Database Processing; Planning; Process Management; Project Management; Reference & Master Data Management; Semantic Modeling; Software Development; Standards Organizations; Structured Query Language (SQL); and, XML Development.
|The Data Asset:
How Smart Companies Govern Their Data For Business Success
An indispensable guide that shows companies how to treat data as a strategic asset. Organizations set their business strategy and direction based on information that is available to executives. The Data Asset provides guidance for not only building the business case for data quality and data governance, but also for developing methodologies and processes that will enable your organization to better treat its data as a strategic asset. Part of Wiley's SAS Business Series, this book looks at Business Case Building; Maturity Model and Organization Capabilities; 7-Step Programmatic Approach for Success; and Technologies Required for Effective Data Quality and Data Governance and, within these areas, covers - Risk mitigation - Cost control - Revenue optimization - Undisciplined and reactive organizations - Proactive organizations - Analysis, improvement, and control technology. Whether you're a business manager or an IT professional, The Data Asset reveals the methodology and technology needed to approach successful data quality and data governance initiatives on an enterprise scale.
|The Data Model Resource Book, A
Library of Data Models for Specific Industries
A quick and reliable way to build proven databases for core business functions. Industry experts raved about The Data Model Resource Book when it was first published in March 1997 because it provided a simple, cost–effective way to design databases for core business functions. Len Silverston has now revised and updated the hugely successful First Edition, while adding a companion volume to take care of more specific requirements of different businesses. Each volume is accompanied by a CD–ROM, which is sold separately. Each CD–ROM provides powerful design templates discussed in the books in a ready–to–use electronic format, allowing companies and individuals to develop the databases they need at a fraction of the cost and a third of the time it would take to build them from scratch. With each business function boasting its own directory, this CD–ROM provides a variety of data models for specific implementations in such areas as financial services, insurance, retail, healthcare, universities, and telecom.
|The Data Model Resource Book, A
Library of Universal Data Models for all Enterprises
A quick and reliable way to build proven databases for core business functions. Industry experts raved about The Data Model Resource Book when it was first published in March 1997 because it provided a simple, cost-effective way to design databases for core business functions. Len Silverston has now revised and updated the hugely successful First Edition, while adding a companion volume to take care of more specific requirements of different businesses. Each volume is accompanied by a CD-ROM, which is sold separately. Each CD-ROM provides powerful design templates discussed in the books in a ready-to-use electronic format, allowing companies and individuals to develop the databases they need at a fraction of the cost and a third of the time it would take to build them from scratch. Updating the data models from the First Edition CD-ROM, this resource allows database developers to quickly load a core set of data models and customize them to support a wide range of business functions.
|The Global Sourcebook for Name and Address Data Management
This resource, a recognised standard reference, contains over 2000 pages of data pertaining to over 245 countries and territories. It is intended to help you to populate and utilize your international database in the most effective and accurate way; to ensure that you can put your data to its best use and to maintain your advantage, without causing any unnecessary irritation to those people within your database. It not only allows you not to irritate you customers, it can also help you to impress them with your knowledge and concern for accuracy and localized marketing norms. This is the most complete reference work of its type available. We have spent 17 years (and counting) in research to bring you this data, so that you do not need to spend years doing the same. Essential for the success of CRM, data management and database marketing initiatives.
|The Hidden Corporation: A Data Management Security Novel
Every day cybersecurity specialist Nancy MacBaron fights in the corporate trenches against criminal hackers intent on stealing her company's sensitive information. She is well trained, highly skilled and security-certified yet she discovers she and her company are helpless in the face of an unexpected data theft from inside. Called into her boss' office early one morning, Nancy MacBaron is given dual assignments: one, to help locate the person who is holding their data for ransom, and two, investigate how their information management process allowed such a huge amount of sensitive information to be stolen. Amidst the rivalry among departments, and the pressure of financial disaster for the company, Nancy begins a journey of discovery that shows her a landscape of data process activity that nobody is co-ordinating or even really aware exists. Nancy confers with a number of people, some helpful, some resentful of outsiders, all adding more pieces to the puzzle. Amidst the new ideas, old work habits, and personal conflicts Nancy begins to recognise hidden and ungoverned gaps within the corporation along with following clues to find the criminal before the company's data is auctioned off to the highest bidder. Follow Nancy as she gathers different perspectives from developers, data architects, managers, attorneys, cybersecurity specialists, data governance groups, law enforcement, and members of her own family to formulate a method to protect sensitive information that co-ordinates the expertise of many business groups to eliminate gaps in The Hidden Corporation.
Practitioners Guide to Data Quality Improvement
Business problems are directly related to missed data quality expectations. Flawed information production processes introduce risks preventing the successful achievement of critical business objectives. However, these flaws are mitigated through data quality management and control: controlling the quality of the information production process from beginning to end to ensure that any imperfections are identified early, prioritized, and remediated before material impacts can be incurred. The Practitioner's Guide to Data Quality Improvement shares the fundamentals for understanding the impacts of poor data quality, and guides practitioners and managers alike in socializing, gaining sponsorship for, planning, and establishing a data quality program. This book shares templates and processes for business impact analysis, defining data quality metrics, inspection and monitoring, remediation, and using data quality tools. Never shying away from the difficult topics or subjects, this is the seminal book that offers advice on how to actually get the job done.
|UML and Data Modeling: A Reconciliation
David C. Hay
Here you will learn how to develop an attractive, easily readable, conceptual, business-oriented entity/relationship model, using a variation on the UML Class Model notation. This book has two audiences: Data modellers (both analysts and database designers) who are convinced that UML has nothing to do with them; and UML experts who don't realise that architectural data modelling really is different from object modelling (and that the differences are important). David Hay's objective is to finally bring these two groups together in peace. Here all modellers will receive guidance on how to produce a high quality (that is, readable) entity/relationship model to describe the data architecture of an organisation. The notation involved happens to be the one for class models in the Unified Modelling Language, even though UML was originally developed to support object-oriented design. Designers have a different view of the world from those who develop business-oriented conceptual data models, which means that to use UML for architectural modelling requires some adjustments. These adjustments are described in this book.
The heart of the book provides the complete set of models that will support most of an organization′s core business functions, including universal meta models for enterprise–wide systems, business meta data and data stewardship, portfolio management, business rules, and XML, messaging, and transactions. Developers can directly adapt these models to their own businesses, saving countless hours of development time. Building effective meta data repositories is complicated and time–consuming, and few IT departments have the necessary expertise to do it right–which is why this book is sure to find a ready audience. Begins with a quick overview of the Meta Data Repository Environment and the business uses of meta data, then goes on to describe the technical architecture followed by the detailed models.
Junkies and Template Zombies: Understanding Patterns of Project Behavior
Suzanne and James Robertson
Abstraction is uniquely human. It is something we do every day, every waking hour. But it wasn’t always so. At some point in our prehistory, there had to be a very first instance of abstraction, a moment when an early protohuman stared at something vaguely familiar, and then with a sudden flash of insight, thought, “Hello! Thingumbob again!” That was the first abstraction. From that moment on, everything was different. Man was loose on the Earth. Abstraction is pro-foundly human, but pattern recognition is not. It is not unique to humans at all. The mouse has figured out when the cat is likely to be asleep, when the humans are sure to be out of the kitchen, and when the crumbs have been recently dropped but not yet swept up. Your family dog knows all the signals that precede what you thought was going to be a totally unexpected getaway weekend. (Could it have been the suitcase?) And the neighborhood raccoon under-stands that when the tide is out, pickings are bound to be better on the beach than in your compost pile. But for all their pattern recognition mastery, what the mouse/dog/raccoon cannot do is observe, “Hello! Thingumbob again!” That involves abstraction.
Related IRM UK Seminar: Mastering the Requirements Process
|Business Process Management,
Profiting from Process
Business processes are the production lines of the new economy. When they fail us, our products and services fail our customers, and our business fails its owners. The more businesses change, the more they must concern themselves with their stakeholder relationships and manage their processes so that technologies and organization designs have a common business purpose. This book shows you how to deliver integral processes and helps you build a fully process-managed enterprise. The Process Management Framework provides the strategic guidance and tactical steps to make the switch. Encompassing eight phases, the Framework migrates organizational and process transformation through strategy, design, realization, and actual operations. For each phase, this book provides detailed descriptions of the steps, their inputs, outputs, guides, and enablers, as well as the tricks, traps, and best practices learned by experienced practitioners. It also covers the related disciplines of managing programs, risk, quality, projects, and human change, and how process management is the key to ensure a fit among all these areas. For those of you about to embark on a process journey, this book provides a compelling call to action, a guide for management, and an invaluable reference.ï¾ Learn the concepts and transform your business! See why process management is an inevitable trend that won't go away. Understand why relationship management needs effective processes to work. Define your stakeholders and determine their needs. Discover what other organizations have done to manage processes successfully. Explore a complete framework for managing business, process, and human change. Apply your knowledge to manage process projects effectively and efficiently. Learn what to do and what to avoid in every step. Develop processes to align technology, organization, and facility transformation. Gain cross-organizational acceptance of process and personal change. Anticipate objections and proactively manage stakeholder concerns.
Related IRM UK Seminar: Building and Using a Business Process Architecture
Is your current approach really working? Are you sure you are addressing the right problems in the right ways? Take a few hours to read about the most fundamental innovation in business operations and business computing in decades. It is not just about IT any more! Decisioning, Requirements, Governance, Knowledge. Radical in its simplicity, this concise, easy-to-read handbook presents a groundbreaking, common-sense approach to solving today's operational business problems. Find out why current IT methods have broken down and no longer scale. Written by the father of business rules, here are proven answers. Get your company on the road to true agility! New this Edition ... Decisioning - Capturing best practices - Enterprise design - Really smart systems - Building business vocabularies - Structured verbalization for business communication - Applied semantics and concept analysis - Re-engineering governance.
Related IRM UK Seminar: Business Rules and Decision Analysis Masterclass
|Complete Systems Analysis
James and Suzanne Robertson
In a fundamentally new approach, this innovative text -- now available in a single, softcover volume -- teaches all the techniques a modern analyst needs. The authors explain all the methods, models, and techniques of analysis, and simulate an actual project executed for a British television company. The reader is guided through each step of the project by exercises and the authors' advice. The book also brings systems analysis up to date, showing how analysis is used for object-oriented implementation, and how event-response data flow models and entity-relationship data models are complementary, not competing, models. A clever system of trail guides lets the readers model an extensive case study at their own pace, in a sequence based on their level of experience. Complete Systems Analysis adapts to the reader's needs and provides an appropriate learning path for the beginner, with a more direct route for experienced analysts wanting to make better use of today's techniques. Topics Include: Analysis Models - Data Flow Diagrams - Data Viewpoint - Data Models - Leveled Data Flow Diagrams - Current Physical Viewpoint - Building the Data Dictionary - Strategy: Focusing on the Essentials - Identifying Events - Modeling an Event Response - Writing Mini Specifications - CRUD Check - Modeling New Requirements - New Physical Viewpoint - Object-Oriented Viewpoint - Strategy: Toward Implementation.
Related IRM UK Seminar: Mastering the Requirements Process
|Distributed Agile: DH2A -- The Proven Agile Software Development Approach & Toolkit for Geographically Dispersed Teams
If you have ever worked on an Agile software development project, you know the importance of face-to-face communication. Having both business and IT professionals working together in the same room can become the critical success factor. Can Agile be successful though when team members are scattered across rooms, buildings, regions, or even countries? Yes! By following the Design for Hybrid Agile Adoption (DH2A) approach, framework and set of templates and tools explained in this book, you can implement successful Agile projects. This book contains three sections: Section I provides the basics of distributed Agile and DH2A, compares collocated with distributed Agile, and shares the rewards of following a distributed Agile approach. Section II dives into the DH2A methodology, with entire chapters dedicated to the Appraisal Segment, Estimation Segment, Planning Segment, and Implementation Segment. In addition there is a chapter in Section II on the roles required to make DH2A a success. Section III focuses on the DH2A framework, with an emphasis on Project Management Office and Governance. Actual case studies are used to illustrate the many useful tools within this text.
|How Work Gets Done: Business Process Management, Basics & Beyond
Rediscover how your organisation works and where it can be improved by using simple, yet powerful techniques! This book provides the business or IT professional with a practical working knowledge of Business Process Management (BPM). This book is written in a conversational style that encourages you to read it from start to finish and master these objectives: learn how to identify the goals and drivers important to your organisation and how to align these with key performance measures; understand how business strategies, business policies, and operational procedures need to be connected within a Business Process Architecture; know the basic building blocks of any business process - Inputs, Outputs, Guides, and Enablers; learn how to create a BPM Center of Excellence in your organisation; acquire the skills to establish a BPM methodology addressing Enterprise-level, Process-Level, and Implementation-Level priorities; learn how to build a Process Competency Framework encompassing all BPM stakeholders; and, obtain the knowledge to improve a process step-by-step with easy to use techniques and templates such as swimlanes and flowcharts.
|Mastering the Requirements Process
James and Suzanne Robertson
"If the purpose is to create one of the best books on requirements yet written, the authors have succeeded."Capers JonesIt is widely recognized that incorrect requirements account for up to 60 percent of errors in software products, and yet the majority of software development organizations do not have a formal requirements process. Many organizations appear willing to spend huge amounts on fixing and altering poorly specified software, but seem unwilling to invest a much smaller amount to get the requirements right in the first place.Mastering the Requirements Process, Second Edition, sets out an industry-proven process for gathering and verifying requirements with an eye toward today's agile development environments. In this total update of the bestselling guide, the authors show how to discover precisely what the customer wants and needs while doing the minimum requirements work according to the project's level of agility. Features include The Volere requirements process completely specified, and revised for compatibility with agile environments A specification template that can be used as the basis for your own requirements specifications New agility ratings that help you funnel your efforts into only the requirements work needed for your particular development environment and project How to make requirements testable using fit criteria Iterative requirements gathering leading to faster delivery to the client Checklists to help identify stakeholders, users, nonfunctional requirements, and more Details on gathering and implementing requirements for iterative releases An expanded project sociology section for help with identifying and communicating with stakeholders Strategies for exploiting use cases to determine the best product to build Methods for reusing requirements and requirements patterns Examples showing how the techniques and templates are applied in real-world situations.
Related IRM UK Seminar: Mastering the Requirements Process
Productive Projects and Teams
Tom DeMarco and Tim Lister
Two of the computer industry's most popular authors and lecturers return with a new edition of the software management book that started a revolution. With humor and wisdom drawn from years of management and consulting experience, DeMarco and Lister demonstrate that the major issues of software development are human, not technical -- and that managers ignore them at their peril. Now, with a new preface and eight new chapters -- expanding the original edition by one third -- the authors enlarge upon their previous ideas and add fresh insights, examples, and potent anecdotes. Discover dozens of ingenious tips on how to
Peopleware shows you how to cultivate teams that are healthy and productive. The answers aren't easy -- just incredibly successful.
|Project Management in the Real World
Ninety seven percent of successful projects are led by an experienced project manager. But getting experience takes time. Until now. Project Management in the Real World is a short cut to this experience: it summarizes over 250 years' of experience from professional project managers. Presented in a quick and easy to read format, it contains a wealth of knowledge that can be practically applied in a short period of time. Anecdotes and tips are backed up with theory and references, along with case studies from the US, Holland, France, Australia as well as the UK. Filled with snappy, 'how-to' tips and ideas, project managers will benefit from solid, innovative ideas and learn tricks from professionals to help them deliver projects more successfully.
|Requirements Led Project Management
James and Suzanne Robertson
Requirements are a crucial ingredient of any successful project. This is true for any product--software, hardware, consumer appliance, or large-scale construction. You have to understand its requirements--what is needed and desired--if you are to build the right product. Most developers recognize the truth in this statement, even if they don't always live up to it. Far less obvious, however, is the contribution that the requirements activity makes to project management. Requirements, along with other outputs from the requirements activity, are potent project management tools. In Requirements-Led Project Management, Suzanne and James Robertson show how to use requirements to manage the development lifecycle. They show program managers, product and project managers, team leaders, and business analysts specifically how to: Use requirements as input to project planning and decision-making - Determine whether to invest in a project - Deliver more appropriate products with a quick cycle time - Measure and estimate the requirements effort - Define the most effective requirements process for a project - Manage stakeholder involvement and expectations - Set requirements priorities - Manage requirements across multiple domains and technologies - Use requirements to communicate across business and technological boundaries.
Related IRM UK Seminar: Mastering the Requirements Process
|Social Media for Project Managers
I highly recommend this leading-edge book on Social Media (one of the hottest topics today in project management!) I first got interested in the book after seeing Elizabeth Harrin give a very impressive presentation on this topic at a PMI conference in Washington DC. Since then, I have also discovered some of Elizabeth's other social media offerings, including her blog, "A Girl's Guide To Project Management," as well as some of her podcasts & "vodcasts" (if you never saw this term before, it's one of the many choices you'll learn about in the book). What I especially like about the book is how the content is presented in a very concise and conversational style. And how Elizabeth shares her expertise in an interactive format that provokes readers to think about what would work best on their specific projects.
Modelling: Tools for Process Improvement and Application Development
At last - here's the long-awaited, extensively revised and expanded edition of the acclaimed and bestselling book, "Workflow Modeling". This thoroughly updated resource provides proven techniques for identifying, modeling, and redesigning business processes, and explaining how to implement workflow improvement, this book helps professionals define requirements for systems development or systems acquisition. By showing how to build visual models for illustrating workflow, the book helps practitioners assess their current business processes and see where process improvement and systems development can take place. Leading author Alec Sharp is an internationally recognized expert in business process management and is in high demand as a speaker and seminar leader in the field.
Related IRM UK Seminar: Working with Business Processes: Discovery, Assessment, Mapping, Analysis and Design
|IT Strategy and Management|
Fusion: How to move beyond Alignment and transform IT in your organization
Peter Hinssen and Jeroen Derynck
There is a fundamental dilemma in the world of IT: the technical challenges and opportunities have never been greater, but at the same time the role of IT and the role of the CIO has never been questioned more. The relationship between business and IT is in many companies at an all-time low. The model of Alignment that we've pursued for more than 20 years in IT doesn t work anymore. It's time for change. It's time for a radical change in the relationship between business and IT. It's time for Fusion. In times of economic downturn your business needs IT leaders, not followers. Fusion can help CIOs and IT managers to become real heroes in tough economic times, and can help expose the true value of IT. Fusion starts where Alignment stops: it turns CIOs into business leaders, injects business savvy into the IT department, and transforms IT into the organization everyone wants to work in. Fusion makes a job in IT attractive again.
Fusion is about blending IT into the business, and is a recipe for business integration and innovation. Fusion is about the future evolution of IT. Fusion is the future of IT. This book provides a roadmap for the journey to completely rethink IT, and transform IT into something radically new. Gone is the old IT. Long live Fusion. Let this book be your guide to the metamorphosis of IT.
Related IRM UK Seminar: Successfully Aligning Business and IT
Developing Directors: A Handbook for Building an Effective Boardroom Team
Finance for IT Decision Makers
|fruITion: Creating the Ultimate
Corporate Strategy for Information Technology
Ian is a Chief Information Officer (CIO) who is about to go on a journey of change - whether he likes it or not. He will be expected to explore, challenge and radically recast the complex, often hostile relationships that can exist between a business and the people in its Information Technology (IT) department. On the way, Ian, his Chief Executive Officer, Chief Financial Officer and other key stakeholders, experience a transformation in how a business needs to think about the value of its IT people and the work that they do. This results in some truly groundbreaking innovations in the scope and contribution of Ian's role as CIO, the people that work for him and the strategy that he leads.Watch the characters in this extraordinary business novel as they meet the challenge, struggle and grow. Share in Ian's transformation, and join the author in observing key messages as the adventure unfolds. Part entertaining novel and part enlightening textbook - FruITion takes the reader through a discovery process revealing indispensable messages about the next generation of strategies for Information Technology.
Related IRM UK Seminar: The Corporate Strategy for IT: How to be experts at creating value from technology
Corporation: How the Age of Transparency Will Revolutionize Business
If you have to be naked, you had better be buff. We are entering an extraordinary age of transparency, where businesses must for the first time make themselves clearly visible to shareholders, customers, employees, partners, and society. Financial data, employee grievances, internal memos, environmental disasters, product weaknesses, international protests, scandals and policies, good news and bad; all can be seen by anyone who knows where to look. Welcome to the world of the naked corporation. Transparency is revolutionizing every aspect of our economy and its industries and forcing firms to rethink their fundamental values.
|Winning Companies; Winning People: Making it easy for average performers to adopt winning behaviours Colin Coulson-Thomas
Have you ever wondered why some workgroups are more successful than others in similar situations? Why do some businesses expand, while others that appear to be in equivalent circumstances plateau and contract? Why do some people achieve while others fail? Are there certain behaviours and practices that lead on the one hand to success, growth and development, and on the other hand to frustration, stagnation and decline? Do the top performers know things that others are not aware of? Do they adopt different approaches? In many sectors of the economy competing companies appear to be offering similar products and services, and using the same or equivalent technologies, processes and systems. They recruit similar people, often from the same universities and business schools, employ the services of the same or similar consultants, and they invariably fall for the same management fashions and fads. Yet delve down to the level of particular workgroups such as bid and account teams and some are found to do much better than others, while over time some businesses prosper while others wither. Why is this? What do the leaders of successful companies - or winners - do differently from losers who struggle and fail? The author's continuing research programme has been considering the questions just posed for over 20 years.
DefrICtion: Unleashing your Enterprise to Create Value from Change (FruITion)
Related IRM UK Seminar: Driving Business Innovation with Enterprise Architecture
Realizing the Extraordinary Contribution of Your Enterprise Architects
Simon is a seasoned Enterprise Architect who joins a corporation in New York as their first-ever Vice President of Enterprise Architecture. On his very first day, he meets the global Chief Executive Officer (CEO) who asks Simon What do you do? Simon's reply triggers the CEO to respond in a way that our hero least expects. What follows is a journey across continents and oceans in which Simon uncovers the true meaning of Enterprise Architecture, who is doing it, and how successful they are. On his travels, Simon teams up with senior executives around the world to integrate Enterprise Architecture into their strategies and business plans, and to innovate in the architecture of their enterprise. Everyone he meets has some wisdom to offer, and is looking for his in return. Finally, Simon has to make a choice between the kind of Enterprise Architect he used to be and the one he has become. Join the characters in this sequel to the highly-acclaimed business novel fruITion, as they contribute to Simon's journey and he makes his final choice. Share in his thoughts and experiences, and join the author in observing key messages along the journey. Potts weaves another story of drama and intrigue which is a must read for any CEO or Enterprise Architect looking to design a business to achieve sustainable performance. As Enterprise Architects continue to discover their relevance and value-add, Potts lives up to his reputation by interrupting with a dose of common sense and challenging insights which will make business leaders pause and reflect.
Related IRM UK Seminar: Driving Business Innovation with Enterprise Architecture
Orientation: Winning Strategies and Best Practices
Companies face major challenges as they seek to flourish in competitive global markets, fuelled by developments in technology, from the Internet to grid computing and Web services. In this environment, service orientation - aligning business processes to the changing demands of customers - is emerging as a highly effective approach to increasing efficiency. In this book, Paul Allen provides an accessible guide to service orientation, showing how it works and highlighting the benefits it can deliver. The book provides an integrated approach: after covering the basics of service orientation, he discusses key issues such as business agility, designing quality-of-service infrastructure, implementing service-level agreements, and cultural factors. He provides roadmaps, definitions, templates, techniques, process patterns and checklists to help you realize service orientation. These resources are reinforced with detailed case studies, from the transport and banking sectors. Packed with valuable insights, the book will be essential reading for CIOs, IT architects and senior developers. IT facing business executives will also benefit from understanding how software services can enable their business strategies. Paul Allen is a principal business-IT strategist at CA and is widely recognized for his innovative work in component-based development (CBD), business-IT alignment and service-oriented architecture.
|TOGAF 9 Pocket
The Open Group Architecture Framework (TOGAF) is an open industry consensus framework and method for enterprise architecture. This Pocket Guide is based on TOGAF Version 9 Enterprise Edition. It gives a concise introduction to TOGAF 9. What's more, it's authoritative, with material derived from The Open Group's TOGAF 9 documentation and contributions from members of The Open Group Architecture Forum. The audience for this Pocket Guide is enterprise architects, business architects, IT architects, data architects, systems architects, solutions architects, and senior managers seeking a first introduction to TOGAF.
Related IRM UK Seminar: TOGAF 9 Foundation Level 1 and Certified Level 2
|TOGAF 9 Book
The Open Group Architecture Framework (TOGAF) is a framework - a detailed method and a set of supporting tools - for developing an enterprise architecture, developed by members of The Open Group Architecture Forum (www.opengroup.org/architecture). This 2008 Edition is based on TOGAF Version 9.0. As a comprehensive, open method for enterprise architecture, TOGAF 9 complements, and can be used in conjunction with, other frameworks that are more focused on specific aspects of architecture or for vertical sectors such as Government, Defense, and Finance. TOGAF may be used freely by any organisation wishing to develop an enterprise architecture for use within that organisation (subject to the Conditions of Use). This book consists of four main parts: PART I Introduction, PART II Architecture Development Method, PART III Enterprise Continuum PART IV Resource Base.
Related IRM UK Seminar: TOGAF 9 Foundation Level 1 and Certified Level 2