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Aligning modern business processes and legacy systems
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ISBN: 0262513463 0262220792 9786612100901 0262257130 1282100904 1429460970 9780262257138 9780262513463 0262299976 9781282100909 9781429460972 9780262220798 9780262299978 6612100907 Year: 2007 Publisher: Cambridge, Mass. MIT Press

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Abstract

Distributed business component computing--the assembling of business components into electronic business processes, which interact via the Internet--caters to a new breed of enterprise systems that are flexible, relatively easy to maintain and upgrade to accommodate new business processes, and relatively simple to integrate with other enterprise systems. Companies with unwieldy, large, and heterogeneous inherited information systems--known as legacy systems--find it extremely difficult to align their old systems with novel business processes. Legacy systems are not only tightly intertwined with existing business processes and procedures but also have a brittle architecture after years of ad-hoc fixes and offer limited openness to other systems. In this book, Willem-Jan van den Heuvel provides a methodological framework that offers pragmatic techniques for aligning component-based business processes and legacy systems. Van den Heuvel's methodology is based on three building blocks: reverse engineering, which allows legacy systems to be componentized; forward engineering, which derives a set of business components from requirements of the new business processes; and alignment of new business processes and componentized legacy systems. Van den Heuvel provides a theoretical foundation for these, with chapters that discuss component-based development, introduce a case study that is used throughout the book to illustrate the methodology, and assess methods and technologies for legacy integration, component adaptation, and process alignment. He describes the methodological framework itself and its techniques to align new business processes with legacy systems by adopting a meet-in-the-middle strategy. Drawing on topics from a wide range of disciplines, including component-based development, distributed computing, business process modeling, and others, Aligning Modern Business Processes and Legacy Systems offers theoretically grounded practical methodology that has been explored and tested in a variety of experiments as well as some real-world projects.


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Data science for entrepreneurship : principles and methods for data engineering, analytics, entrepreneurship, and the society
Authors: ---
ISBN: 303119554X 3031195531 Year: 2023 Publisher: Cham, Switzerland : Springer,

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The fast-paced technological development and the plethora of data create numerous opportunities waiting to be exploited by entrepreneurs. This book provides a detailed, yet practical, introduction to the fundamental principles of data science and how entrepreneurs and would-be entrepreneurs can take advantage of it. It walks the reader through sections on data engineering, and data analytics as well as sections on data entrepreneurship and data use in relation to society. The book also offers ways to close the research and practice gaps between data science and entrepreneurship. By having read this book, students of entrepreneurship courses will be better able to commercialize data-driven ideas that may be solutions to real-life problems. Chapters contain detailed examples and cases for a better understanding. Discussion points or questions at the end of each chapter help to deeply reflect on the learning material.

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