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  • The End Point: Digitization of Traditional Media

    Media, #1

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    Collections Livre 1 - Media
    Every technological displacement arrives twice. It arrives first as a curiosity that established institutions can safelyignore, and then as a structural condition that reorders every assumption those institutions once held sacred.Traditional media has now lived through both arrivals. The question that remains is not whether digitization willreshape the press, the broadcast schedule and the ... En savoir plus

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    Manage Aging Computer Systems (and Future Proof Modern Ones)

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  • Many Voices, One Song: Shared Power with Sociocracy

    Many Voices One Song is a detailed manual for implementing sociocracy, an egalitarian form of governance also known as dynamic governance. Sociocracy means governance by those who associate together. This book is based on the Sociocratic Circle-Organization Method (SCM) developed in the Netherlands by electrical engineer Gerard Endenburg, based on earlier work of educator Kees Boeke. Many Voices ... En savoir plus

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  • Data Management

    a gentle introduction

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  • Facilitating Software Architecture

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  • Managing the Testing Process

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  • Problem Seeking

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  • Business Architecture

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    Organizations today exist in an environment of unprecedented change. They do so against a backdrop of a global, competitive marketplace, the fast-paced enablement of technology, amplified regulation and accelerating organizational complexity. Many organizations are addressing change in a sub-optimal way and they are operating without a clear view of where their operational risks lie. It is these ... En savoir plus

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  • Open Innovation Learning

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  • Open Agile Architecture™ Standard, Version 2.0

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  • Meeting the Challenges of Data Quality Management

    Meeting the Challenges of Data Quality Management outlines the foundational concepts of data quality management and its challenges. The book enables data management professionals to help their organizations get more value from data by addressing the five challenges of data quality management: the meaning challenge (recognizing how data represents reality), the process/quality challenge (creating ... En savoir plus

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