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    Total Information Risk Management

    Total Information Risk Management

    - Maximizing the Value of Data and Information Assets

    Af +1
    Bog E-bog
    • Format
    • Bog, paperback
    • Engelsk

    Beskrivelse

    How well does your organization manage the risks associated with information quality? Managing information risk is becoming a top priority on the organizational agenda. The increasing sophistication of IT capabilities along with the constantly changing dynamics of global competition are forcing businesses to make use of their information more effectively. Information is becoming a core resource and asset for all organizations; however, it also brings many potential risks to an organization, from strategic, operational, financial, compliance, and environmental to societal. If you continue to struggle to understand and measure how information and its quality affects your business, this book is for you. This reference is in direct response to the new challenges that all managers have to face. Our process helps your organization to understand the "pain points" regarding poor data and information quality so you can concentrate on problems that have a high impact on core business objectives. This book provides you with all the fundamental concepts, guidelines and tools to ensure core business information is identified, protected and used effectively, and written in a language that is clear and easy to understand for non-technical managers.

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    Detaljer
    Størrelse og vægt
  • Vægt670 g
    • coffee cup img
    10 cm
    book img
    19,1 cm
    23,5 cm

    Forfattere

    Alexander Borek Ajith Kumar Parlikad Jela Webb Philip Woodall

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    Se andre, der handler om...

    Motivation Organizational culture Risk Risk assessment Risk management Case study Information environment Measurement units Characteristics External environment Software tools Risk management process Domain analysis Risk appetite Change-Management Matching Algorithms Business objectives Anatomy of Information Risks Application example Big Data and EIM Automated Information Flow Discovery Business impact Chief Risk Officer Data and Information Quality Communicate and Consult EIM Governance EIM Strategy Determining Costs and Benefits of Information Risk Treatment Challenges for EIM Communication to Stakeholders Goals and Scope of TIRM Data and Information Assets Information Risk Evaluation Information Risk Assessment Integration with EIM Information Quality Techniques EIM Components Identification of Information Risk Causes Implementation of Information Risk Treatments Information Risk Identification Information Risk Treatment Identification Energy Utility Lexical Analysis and Validation Information Manufacturing Information Risk Analysis Integration with ERM Establishing Employee Support for Information Risk Management Failure Mode Effect and Criticality Analysis (FMECA) Monitor and Review management principles Master Data Management (MDM) organizational context Root-Cause Analysis (RCA) InfoRAS Risk Analysis Techniques Risk Evaluation Techniques Risk Identification Techniques Risk Treatment Primary and Foreign Key Analysis Risk Assessment Techniques Information Risk Mitigation Verification of the Effectiveness of Information Risk Treatments Sources of Information Risk Upside of Information Risk Risk Criteria Quantifying Information Risk Quantifying the Impact of Poor Data and Information Overcoming Organizational Resistance for Information Risk Management Roles and Responsibilities for TIRM TIRM Process

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