- Full Description
This book undertakes to marry the concepts of 'Concept Mapping' with a 'Design Thinking' approach in the context of business analysis. While in the past a lot of attention has been paid to the business process side, this book now focusses information quality and valuation, master data and hierarchy management, business rules automation and business semantics as examples for business innovation opportunities. The book shows how to take 'Business Concept Maps' further as information models for new IT paradigms. In a way this books redefines and extends business analysis towards solutions that can be described as business synthesis or business development. Business modellers, analysts and controllers, as well as enterprise information architects, will benefit from the intuitive modelling and designing approach presented in this book. The pragmatic and agile methods presented can be directly applied to improve the way organizations manage their business concepts and their relationships.'This book is a great contribution to the information management community. It combines a theoretical foundation with practical methods for dealing with important problems. This is rare and very useful. Conceptual models that communicate business reality effectively require some degree of creative imagination. As such, they combine the results of business analysis with communication design, as is extensively covered in this book.'Dr. Malcolm Chisholm, President at AskGet.com Inc. “Truly understanding business requirements has always been a major stumbling block in business intelligence (BI) projects. In this book, Thomas Frisendal introduces a powerful technique—business concept mapping—that creates a virtual mind-meld between business users and business analysts. Frisendal does a wonderful explaining and demonstrating how this tool can improve the outcome of BI and other development projects .'Wayne Eckerson, executive director, BI Leadership Forum
- Table of Contents
Table of Contents
- What the business means.
- 'Design Thinking' for business information analysis.
- Business concept management: business analysis redefined.
- Where to find meaningful business information.
- Describing business meaning.
- Concept harvesting.
- Surprising support from next generation IT paradigms.
- Reliable business information.
- Meaningful intelligence.
- Business rules automation.
- Reusable meaning.
- Open information sharing.
- 'Pull' instead of 'Push'.
- NoSQL and 'Big Data'.
- Think big, start small
- deliver value to the business.
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