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eBook Knowledge Automation: How to Implement Decision Management in Business Processes download

by James Taylor,Alan N. Fish

eBook Knowledge Automation: How to Implement Decision Management in Business Processes download ISBN: 111809476X
Author: James Taylor,Alan N. Fish
Publisher: Wiley; 1 edition (March 6, 2012)
Language: English
Pages: 208
ePub: 1479 kb
Fb2: 1890 kb
Rating: 4.6
Other formats: rtf doc lrf mbr
Category: Work and Money
Subcategory: Management and Leadership

How business processes can be redesigned to automate operational decision-making through the use of. .

How business processes can be redesigned to automate operational decision-making through the use of BPMS. The most important technologies used for encapsulating business knowledge in decision services. The principles of DRA and the Decision Requirements Diagram (DRD)-and how to run a structured workshop resulting in the creation of an automation-scoping document. A true nontechnical how-to guide, Knowledge Automation presents the nuts and bolts for implementation of: All the stages in automating business processes, from business process modeling down to the implementation of decision services.

Knowledge Automation book. Alan N. Fish, James Taylor (Foreword). A proven decision management methodology for increased profits and lowered risks Knowledge Automation: How to Implement Decision Management in Business Processes describes a simple but comprehensive methodology for decision management projects, which use business rules and predictive analytics to optimize and automate small, high-volume business decisions.

A proven decision management methodology for increased profits and lowered risks Knowledge Automation: How to.Taylor first learned to play the cello as a child in Chapel Hill, and switched to the guitar in 1960

A proven decision management methodology for increased profits and lowered risks Knowledge Automation: How to Implement Decision Management in Business Processes describes a simple but comprehensive methodology for decision management projects, which use business rules and predictive analytics to optimize and automate small, high-volume business decisions. Taylor first learned to play the cello as a child in Chapel Hill, and switched to the guitar in 1960. His style on that instrument evolved from listening to hymns, carols, and Woody Guthrie.

KNOWLEDGE AUTOMATION. Process automation projects are always large and complex in any case, and usually represent a substantial strategic investment by the organization

KNOWLEDGE AUTOMATION. How to Implement Decision Management in Business Processes. Foreword by james taylor. Process automation projects are always large and complex in any case, and usually represent a substantial strategic investment by the organization. After deploying any new IT infrastructure required, the organization faces the challenges of process redesign and organizational change. If operational decision-making is to be included in the scope of what is to be automated, we have an additional task: creating the services that are to make the deci-sions.

Автор: Fish Alan N. Название: Knowledge Automation: How to Implement Decision .

Alan N. Fish, James Taylor.

Fish, Alan N. Knowledge automation : how to implement decision management in business processes, Alan N. Fish. p. cm. - (Wiley corporate F&A series) Includes index. ISBN 978-1-118-09476-1 (cloth); ISBN 978-1-118-22351-2 (ebk); ISBN 978-1-118-23679-6 (ebk); ISBN 978-1-118-26184-2 (ebk) 1. Information technology. Chapter 1: The Value of Knowledge. The Economics of Knowledge The Knowledgeable Business Notes. Chapter 2: Decisions in the Business Process.

Books online: Knowledge Automation: How to Implement Decision Management in Business . FISH is Principal Consultant in Decision Solutions with FICO: the leader in Decision Management.

Books online: Knowledge Automation: How to Implement Decision Management in Business Processes (Wiley Corporate F&A), 2012, Fishpond. He is an authority in the use of business rules for decision management with innovations including new methodologies for decision service analysis, design, and development, in particular the technique of Decision Requirements Analysis (DRA).

Knowledge Automation:, Describes all the stages in automating business processes, from business process modeling down to the implementation of decision services, Addresses how to use business rules and predictive analytics to optimize and automate small, high-volume.

Knowledge Automation:, Describes all the stages in automating business processes, from business process modeling down to the implementation of decision services, Addresses how to use business rules and predictive analytics to optimize and automate small, high-volume business decisions, Proposes a simple "top-down" method for defining decision requirements and representing them in a single diagram, Shows how clear requirements can allow decision. management projects to be run with reduced risk and increased profit.

A proven decision management methodology for increased profitsand lowered risks

Knowledge Automation: How to Implement Decision Management inBusiness Processes describes a simple but comprehensivemethodology for decision management projects, which use businessrules and predictive analytics to optimize and automate small,high-volume business decisions. It includes Decision RequirementsAnalysis (DRA), a new method for taking the crucial first step inany IT project to implement decision management: defining a set ofbusiness decisions and identifying all theinformation—business knowledge and data—required tomake those decisions.

Describes all the stages in automating business processes, frombusiness process modeling down to the implementation of decisionservicesAddresses how to use business rules and predictive analytics tooptimize and automate small, high-volume business decisionsProposes a simple "top-down" method for defining decisionrequirements and representing them in a single diagramShows how clear requirements can allow decision managementprojects to be run with reduced risk and increased profit

Nontechnical and accessible, Knowledge Automation revealshow DRA is destined to become a standard technique in the businessanalysis and project management toolbox.

Comments: (2)
Thomeena
I was waiting eagerly for this book given the high praise from James Taylor. (James has written the foreword here.) I have followed Alan's work through his blog and have been particularly impressed with his use of Decision Dependency Diagrams.

In this book Alan has done a great job in laying out the Decision Requirements Analysis (DRA) framework in context of the larger picture of implementing Decision Management systems. This fills a huge gap in how to approach the technology implementation. Filled with very good advice and sidebar comments, the book is an easy read. All concepts and things of note are helpfully highlighted.

A good reference book for all practitioners in the exciting (kind of new) field of knowledge automation.
Whiteseeker
Some time ago I got a pre-release copy of this book on the analysis and design techniques of decision management. I was delighted to write a foreword for Alan and with the arrival of a printed copy I wanted to extend this with a review. Alan's book lays out the core analysis techniques you need to model and manage decisions. I use these techniques in my decision discovery work with clients and wove them into the approach I describe in my most recent book, Decision Management Systems: A Practical Guide to Using Business Rules and Predictive Analytics.

The book begins with an overview of the knowledge economy, why systems need to embed knowledge and why decisions matter in this context. Having established a clear case for decision management he follows with an excellent discussion of the role of decisions and decision management in process management. Decision Management and Process Management go hand in hand and most business problems will require an effective combination. As Alan says, Decision Management involves more than just identifying operational decisions, you must also "codify the knowledge used to make them, and encapsulate the knowledge in automated decision-making systems."

Alan shows that it is essential not to simply replicate what you do today, but to improve it. Using Decision Management to automate and improve decision making changes the processes of which these decisions are a part, making them simpler smarter and more agile. Alan's focus on decisions as a means to drive process innovation is therefore particularly welcome. His hierarchy of a customer journey supported by a business process and a set of decisions is an effective model, especially when the decisions are implemented in decision services that encapsulate the decision making logic required. This chapter is full of good advice including some great discussion of roles in decision making and his emphasis of organizational issues and constraints is likewise central to effective modeling of decisions.

Chapter 3 gives a nice summary of the available technology and then the book moves into the core techniques of Decision Requirements Analysis and their application in building automated decision-making systems. The first of these focuses on decisions and decision services. As Alan says "Decision Services make decisions" which sounds trivial but is core to his approach and to my focus on Decision Management Systems. The decisions being implemented in Decision Services should be modeled and managed top-down and Alan works his way through an effective set of techniques to do this, covering both modeling and requirements gathering. The 3 kinds of information needed to make a decision - data, knowledge and prior decisions - are well explained and he makes great points about the interactions of processes with decisions and role of rules in defining decision logic and hence knowledge. A succinct and effective description of how to map all this analysis to design and implementation using a business rules management system and related technology follows. He wraps up with some useful decision patterns.

As I said in my foreword

"I have been working in Decision Management for most of the last decade, spending much of that helping companies use business rules and predictive analytic technology to automate and improve business decisions. Alan's approach to gathering, modeling and managing decision requirements immediately struck me as the right way to approach this problem. I have been using it with my clients ever since."

This approach works, which is why I use it, and if you are interested in building Decision Management Systems or doing effective decision-centric analysis before using business rules, then this book should be on your bookshelf.