Master Data Management and Customer Data Integration for the Global Enterprise
Written by: Alex Berson and Larry Dubov
Published by: McGraw-Hill
Data governance and data stewardship strategies and best practices
This chapter examines key steps of a generic data governance strategy program as it may apply to the CDI Data Hub and discusses the concept of data stewards and their role in assessing, improving and managing data quality.
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MDM-CDI project implementation guidelines
This chapter excerpt deals with the practical aspects of implementing MDM-CDI solutions as complex, multidisciplinary, enterprise-wide projects or programs. Implementing MDM-CDI solutions requires an approach that may be even broader than a single project, and should be managed as an initiative-level, enterprise-wide program.
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Enterprise Knowledge Management: The Data Quality Approach
Written by: David Loshin
Published by: Morgan Kaufmann, a division of Elsevier
Data quality management: Problems and horror stories
Data quality management is not easy, as is evidenced by these true horror stories of data quality gone wrong. Learn why, as the author says, we are all affected by poor data quality on a daily basis. Then, extract the lessons offered from these mistakes to avoid problems with your own projects.
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Data governance: Information ownership policies and roles explained
Who owns the data? This chapter defines information ownership boundaries and best practices for distributing data ownership across the enterprise. It outlines, in detail, the specific roles and responsibilities of all involved in the battle for data governance.
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Architecture and Patterns for IT Service Management, Resource Planning, and Governance: Making Shoes for the Cobbler's Children
Written by: Charles T. Betz
Published by: Morgan Kaufmann, a division of Elsevier
A guide to conceptual data models for IT managers
With a focus on business processes and conceptual data models, this chapter takes an architectual approach to information technology (IT) management. Read why the author says data models should not be considered a database design, but a description of a business.
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IT Manager's Handbook
Written by: Bill Holtsnider, Brian D. Jaffe
Published by: Morgan Kaufmann, a division of Elsevier
A guide to enterprise resource planning for IT managers
In this chapter, the authors of IT Manager's Handbook discuss enterprise resource planning (ERP) from beginning to end. Read about the value, implementation issues, cost and disadvantages of an ERP system.
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Data Quality: The Accuracy Dimension
Written by: Jack E. Olson
Published by: Morgan Kaufmann, a division of Elsevier
Data quality assurance
This chapter outlines the basic elements of a data quality assurance program. It focuses on data accuracy, a single dimension of data and information quality.
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Data quality issues management
Identifying data quality issues is only the first step in solving them. In this chapter, Jack Olson explains the need for a data quality assurance management system -- one that asesses the impact and causes of poor data quality.
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Business Rules Management and Service Oriented Architecture: A Pattern Language
Written by: Ian Graham
Published by: Wiley Press
SOA and business rules management
In this chapter, author Ian Graham looks at the technology of business rules management systems (BRMS): its features, responsibilities, benefits and business drivers for adoption.
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SOA and decentralized IT systems
Graham says that SOA, like business rules, is about raising the abstraction levels of interfaces: interfaces that must support the business, not the system. Read his thorough discussion of the benefits of a decentralized IT system.
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The Profit Impact of Business Intelligence
Written by: Steve Williams and Nancy Williams
Published by: Morgan Kaufmann, a division of Elsevier
Common BI Mistakes
The authors of The Profit Impact of Business Intelligence define the most common and detrimental mistakes that managers make when embarking on a BI initiative. In this chapter, learn how to avoid a business intelligence disaster.
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Understanding DB2 9 Security
Written by: Rebecca Bond, Kevin Yeung-Kuen See, Carmen Ka Man Wong and Yuk-Kuen Henry Chan
Published by: IBM Press
DB2 security- The starting point
A DB2 security plan is essential to protecting information. The fundamental steps of conceiving a DB2 security plan are outlined in this chapter excerpt- beginning with recognizing major security risks.
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Customer Data Integration: Reaching a Single Version of the Truth
Written by: Jill Dyché and Evan Levy
Published by: John Wiley & Sons
Who Owns the Data Anyway?
In this excerpt from Chapter 6, "Who Owns the Data Anyway? Data Governance, Data Management, and Data Stewardship," authors Jill Dyché and Evan Levy discuss the rampant corporate conversation of data ownership, and the oft-cited but little-identified phenomenon of data hoarding. The authors observe that executive management is often unaware of the depths of politics and pride of ownership issues around data. But -- in order to drive sustainable data governance, which they define and explain in subsequent sections -- they argue that, until executives understand what managing data as an asset really means, they can't possibly practice it.
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Data Model Patterns: A Metadata Map
Written by: David Hay
Published by: Morgan Kaufmann, a division of Elsevier
About Metadata Models
In this excerpt from Chapter 1 of Data Model Patterns: A Metadata Map, David Hay offers insight into all things metadata. That is, data about data.
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Data Model Patterns: A Metadata Map
Written by: David Hay
Published by: Morgan Kaufmann, a division of Elsevier
Data and the Architecture Framework
From Chapter 2: Using a detailed model, Hay discusses data and the architecture framework with a focus on the business owner, architect, designer and the functioning system. He also examines business terms, concepts and fact types in relation to his data model.
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Information Security: A Strategic Approach
Written by: Vincent LeVeque
Published by: John Wiley & Sons
Strategy and Information Technology
In this excerpt from Information Security: A Strategic Approach, Vincent LeVeque offers insight and information on security strategy best practices.
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Critical Infrastructure Protection in Homeland Security: Defending a Networked Nation
Written by: Ted G. Lewis
Published by: John Wiley & Sons
Secure the Hubs, Not the Spokes
In this excerpt from Critical Infrastructure Protection in Homeland Security: Defending a Networked Nation, Ted G. Lewis outlines a scientific approach to the process of infrastructure protection. Utilizing network theory, optimization theory and simulation software, Lewis addresses the key question in network security: What should be protected and how?
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Defeating the Hacker: A non-technical guide to computer security
Written by: Robert Schifreen
Published by: John Wiley & Sons
A Journey
Read this excerpt from Defeating the Hacker: A non-technical guide to computer security and heed the warning from the author, an admitted ex-hacker, "Information security is a fast-moving field, and the hackers' desire to find new methods of attack never wanes. Whatever you put in their way, they will use to their advantage."
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Business Intelligence: The Savvy Manager's Guide
Written by: David Loshin
Published by: Morgan Kaufmann, a division of Elsevier
The Business Case
Read this excerpt from Business Intelligence: The Savvy Manager's Guide and learn "what the savvy manager needs to know about how to coordinate a business model information flow."
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Customer Intelligence: From Data to Dialogue
Written by: Sean Kelly
Published by: John Wiley & Sons
The Concept of a Customer
This sample chapter presents a thorough examination of the customer, product and the very notion of customer intelligence. To quote management thinker and visionary Peter Drucker, "There is only one valid definition of business purpose: to create a customer."
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Introduction to Data Mining
Written by: Pang-Ning Tan, Michael Steinbach and Vipin Kumar
Published by: Addison Wesley
Association Analysis: Basic Concepts and Algorithms
This chapter presents a methodology known as association analysis, which is useful for discovering interesting relationships hidden in large data sets. The uncovered relationships can be represented in the form of association rules or sets of frequent items.
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Administering Data Centers: Servers, Storage, and Voice over IP
Written by: Kailash Jayaswal
Published by: John Wiley & Sons
Causes of Downtime
About 80 percent of the unplanned downtime is caused by process or people issues, and 20 percent is caused by product issues. Solid processes must be in place throughout the IT infrastructure to avoid process-, people-, or product related outages.
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Security Controls for Sarbanes-Oxley Section 404 IT Compliance: Authorization, Authentication, and Access
Written by: Dennis C. Brewer
Published by: John Wiley & Sons
Understanding the New Definition of Adequate
The big story in Sarbanes-Oxley for the IT professional is that earlier approaches to quickly getting applications built and in place to support the business (punch a few holes in the firewall and worry about security later) will no longer pass the inevitable audit.
Meeting the test of maintaining effective internal control structure and processes supporting accurate financial reporting requires treating SOX 404 compliance with a focus and discipline not always evident in existing information systems designs.
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Enterprise Dashboards, Design and Best Practices for IT
Written by: Shadan Malik
Published by: John Wiley & Sons
Elements for an Enterprise Dashboard
We have borrowed inspiration from an aircraft cockpit to build enterprise dashboards, and yet we know that the analogy has some serious limitations.
So, let us establish the basic characteristics specific to an enterprise dashboard with two useful acronyms—SMART and IMPACT.
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Data Strategy
Written by: Sid Adelman, Larissa Moss and Majid Abai
Published by: Addison Wesley Professional
Recognizing Dirty Data
When asked to define "data quality," people usually think of error-free data entry. It is true that sloppy data entry habits are often the culprit, but data quality is also affected by the way we store and manage data. For example, old file structures, such as flat files, did not have strong data typing rules, and it was common practice to use REDEFINE and OCCURS clauses with those structures.
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Database Administration: The Complete Guide to Practices and Procedures
Written by: Craig S. Mullins
Published by: Addison Wesley Professional
DBA Staffing Considerations
One of the most difficult things to determine is the optimal number of DBAs required to keep an organization's databases online and operating efficiently. Many organizations try to operate with the minimal number of DBAs on staff; the idea being that fewer staff members lowers cost. However, that assumption may not be true. An overworked DBA staff can make mistakes that cause downtime and operational problems far in excess of
the salary requirements of an additional DBA.
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Types of DBAs
There are DBAs who focus on logical design and DBAs who focus on physical design; DBAs who specialize in building systems and DBAs who specialize in maintaining and tuning systems; specialty DBAs and general-purpose DBAs. Truly, the job of DBA encompasses many roles.
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Data Protection and Information Lifecycle Management
Written by: Tom Petrocelli
Published by: Prentice Hall
Data protection is just what it sounds like: protecting important data from damage, alteration, or loss. Although that sounds simple enough, data protection encompasses a host of technology, business processes, and best practices. Different techniques must be used for different aspects of data protection. For example, securing storage infrastructure is necessary to ensure that data is not altered or maliciously destroyed. To protect against inadvertent data loss or permanent corruption, a solid backup strategy with accompanying technology is needed.
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Cryptography in the Database: The Last Line of Defense
Written by: Kevin Kenan
Published by: Addison Wesley Professional
Cryptographers classify attacks against cryptosystems into several categories. These attacks attempt to either retrieve the key or expose the plaintext. The algorithms discussed in this book are strong and resist all the attacks discussed here. However, the demands of a practical cryptosystem can easily introduce vulnerabilities even though the algorithm itself is strong. Much of the design presented in this book is aimed at mitigating these weaknesses.
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The Data Warehouse Toolkit
Written by: Ralph Kimball and Margy Ross
Published by: John Wiley & Sons
Data warehouse projects require the integration of a cross-functional team with resources from both the business and IT communities. It is common for the same person to fill more than one role, especially as the cost of entry for data warehousing has fallen. The assignment of named resources to roles depends on the project's magnitude and scope, as well as the individual's availability, capacity, and experience.
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The Data Warehouse ETL Toolkit
Written by: Ralph Kimball and Joe Caserta
Published by: John Wiley & Sons
What constitutes a data warehouse is often misunderstood. To this day, you can ask 10 experts to define a data warehouse, and you are likely to get 10 different responses. The biggest disparity usually falls in describing exactly what components are considered to be part of the data warehouse project. To clear up any misconceptions, anyone who is going to be part of a data warehouse team, especially on the ETL team, must know his or her boundaries.
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The Microsoft Data Warehouse Toolkit
Written by: Joy Mundy, Warren Thornthwaite and Ralph Kimball
Published by: WIley Publishing, Inc.
Using the Business Requirements Definition, the authors outline the process of gathering business requirements, which begins with interviewing IT and business professionals, in order to organize and analyze data into a DW/BI system strategy to make better business decisions.
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