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The Decision Model: A Business Logic Framework Linking Business and Technology
Hardcover
Series: IT Management
Business GeneralDatabasesGeneral Computers
ISBN13: 9781420082814
Publisher: Auerbach Publications
Published: Oct 27 2009
Pages: 554
Weight: 1.95
Height: 1.30 Width: 6.40 Depth: 9.30
Language: English
In the current fast-paced and constantly changing business environment, it is more important than ever for organizations to be agile, monitor business performance, and meet with increasingly stringent compliance requirements. Written by pioneering consultants and bestselling authors with track records of international success, The Decision Model: A Business Logic Framework Linking Business and Technology provides a platform for rethinking how to view, design, execute, and govern business logic. The book explains how to implement the Decision Model, a stable, rigorous model of core business logic that informs current and emerging technology.
The authors supply a strong theoretical foundation, while succinctly defining the path needed to incorporate agile and iterative techniques for developing a model that will be the cornerstone for continual growth. Because the book introduces a new model with tentacles in many disciplines, it is divided into three sections:
Section 1: A Complete overview of the Decision Model and its place in the business and technology world
Section 2: A Detailed treatment of the foundation of the Decision Model and a formal definition of the Model
Section 3: Specialized topics of interest on the Decision Model, including both business and technical issues
The Decision Model provides a framework for organizing business rules into well-formed decision-based structures that are predictable, stable, maintainable, and normalized. More than this, the Decision Model directly correlates business logic to the business drivers behind it, allowing it to be used as a lever for meeting changing business objectives and marketplace demands. This book not only defines the Decision Model and but also demonstrates how it can be used to organize decision structures for maximum stability, agility, and technology independence and provide input into automation design.
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