Download Ebook Definitions in Information Management, by Malcolm D. Chisholm
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Definitions in Information Management, by Malcolm D. Chisholm
Download Ebook Definitions in Information Management, by Malcolm D. Chisholm
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Dr. Chisholm's book is an important work and should be required reading for all senior executives, regulators, and market authorities. What we need before we can develop systems, is a set of clear cut definitions of each data element. This is an excellent book on definitions for data modelers and data managers. Data modeling is the art of defining data elements and is all about definitions. Establishing a common understanding of financial instruments, including the nuances of their underlying contractual structure, is the very foundation of systemic oversight, business process automation, and analytical modeling.
- Sales Rank: #2494823 in Books
- Brand: Brand: byDesign Media
- Published on: 2010-04-16
- Original language: English
- Number of items: 1
- Dimensions: 10.00" h x .63" w x 7.01" l, 1.47 pounds
- Binding: Hardcover
- 260 pages
- ISBN13: 9780615357546
- Condition: New
- Notes: BRAND NEW FROM PUBLISHER! 100% Satisfaction Guarantee. Tracking provided on most orders. Buy with Confidence! Millions of books sold!
Most helpful customer reviews
7 of 8 people found the following review helpful.
An early look at where data content management is headed
By Al W.
The author makes some excellent points about the current state of the data mess and what is needed in order to start providing reliable insight into enterprise data content (and metadata).
Some highlights:
1) Data is 'owned' by the enterprise...not a person or department
2) Managing data doesn't lend itself to traditional project management
3) Data (and definitions) change over time...
4) Therefore, data definition needs to be a living activity (growing and evolving with the business)
5) Valid data definitions require a teaming of Business and Technology to succeed
It is an exceedingly dry topic but his use of historical references, examples and analogies help move the topic along.
I would have liked to see an Appendix of applicable tools in the space (although one of his points is that technology alone cannot solve the problem).
6 of 7 people found the following review helpful.
Definitions in Information Management
By Larry Dubov
This book is long overdue. For many data centric projects and programs like Master Data Management, Data Warehousing, and Enterprise Information Management data definitions is one of the key areas the importance and complexity of which are highly underestimated. As a result many data centric projects are not able to meet business expectations. Often enterprises fail to provide adequate definitions due to their complexity, which may lead to project false starts, execution delays or failures. A definition of a customer is a classical example of a complex definition that may deeply impact enterprise data initiatives. Finally we have a book that addresses the area of data definitions as a discipline. This book will greatly help data analysts, architects, data stewards, data governance, business stakeholders involved in data definitions, and regulators.
1 of 1 people found the following review helpful.
Valuable resource for a little-understood discipline.
By libstudent
This is an incredibly valuable resource, my copy is so annotated and marked up from my notes - this is something not taught in library school that many of us Information Professionals are finding ourselves doing as a job task. This book is the guide, to help explain to IT and the business the value and methods of definition work for information management.
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