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[学科前沿] 【2019新书】Becoming a data-driven Organisation: Unlock the value of data [分享]

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slowry 发表于 2019-11-1 15:33:21 |显示全部楼层
Becoming a data-driven Organisation: Unlock the value of data
by Martin Treder (Author)

About the Author
Martin Treder is a seasoned Data Executive with 25 years of experience in international corporations. During the past decade, Martin established and led Data Management organisations at DHL Express, TNT Express and FedEx Express International. He covered data areas as diverse as Data Governance, Masterdata Management, Data Modelling, Data Quality, Data Science and Data Analytics.
While being a studied Mathematician (main topics Operations Research and Applied Statistics), Martin has always focused on creating long-term commercial value through well-managed data, and on shaping a data-driven culture.
Martin is also a sought-after speaker and panellist at international congresses, on topics around data, digitalisation and analytics.

About this book
Data is the foundation of any current and future market transformation during this digital era. Companies are expected to adjust or to disappear. However, following assessments by Gartner and Forrester during the past two years, only a small fraction of all enterprises has adequately addressed the handling of data so far.
Yet, more and more business leaders have become aware of the topic. They recognize the increasing relevance of data, and the need to act now. Those leaders will welcome this book as it guides them through the first steps in their journey towards a data-driven organisation.
This book brings the topic of Data and its commercial usage to the attention of a broad range of business leaders. It encourages you to get engaged, by explaining in a non-technical way what data comprises, which opportunities wait to get discovered and, most importantly, how to prepare and launch the introduction of a Data Office in a company.

Brief contents
1 What is Data? 1
    1.1 What Exactly is “Data”? 1
    1.2 Isn’t Data the Job of the IT Department? 3
    1.3 Isn’t Data and Information the Same? 5
    1.4 Isn’t Data Management About Analytics? 7
        1.4.1 Manage Data Sources 8
        1.4.2 Validate Data on Entry 9
        1.4.3 Classify Data 10
        1.4.4 Manage Data Quality 10
        1.4.5 Do Data Housekeeping 12
        1.4.6 Use Your Data: Analytics 13
        1.4.7 Use Your Data: Operational Use 18
        1.4.8 The “Next Big Thing”? 19
        1.4.9 Summary 22
    1.5 What Else Does Data Management Deal with? 23
        1.5.1 Reliable Sources 23
        1.5.2 Proper Definition of Data 24
        1.5.3 Documentation 25
        1.5.4 Active Data Quality Management 25
        1.5.5 Data Ownership 25
        1.5.6 Masterdata Management (MDM) 25
        1.5.7 External Data 29
        1.5.8 Data Sharing Across Organisations 30
        1.5.9 Data Flow Definition and Documentation 31
        1.5.10 “Data Reviews” 32
        1.5.11 Data Ethics 32
    1.6 Data in the Overall Context of Our Business 34
        1.6.1 Data as a Business Aspect 34
        1.6.2 Comparing Data with Goods and Money 34
    1.7 Data Helps Enhance Capabilities 35
    References 39
2 The Value of Data 41
    2.1 The Commercial Value of Data 41
        2.1.1 Data Versus Conventional Assets 41
        2.1.2 How to Treat Data as an Asset 43
        2.1.3 Why Should We Treat Data as an Asset? 44
    2.2 Opportunities Through Managing Data 44
        2.2.1 Aren’t We Using Data Already? 44
        2.2.2 Lean, Agile and Data 45
        2.2.3 Gaining Insight Where Humans See Nothing 48
        2.2.4 Research and Development 49
    2.3 The Cost of NOT Doing it Right 49
        2.3.1 The Cost of Silos 49
        2.3.2 The Cost of Non-quantifiable Impact 53
        2.3.3 The Cost of Complexity 53
        2.3.4 The Cost of Wasted Resources 55
        2.3.5 The Cost of Inaccuracy 55
        2.3.6 The Cost of a Ruined Reputation 57
        2.3.7 The Cost of Using Data Without Understanding it 58
        2.3.8 Do You Trust in Algorithms? 65
        2.3.9 The Bias of the Investigator 69
    2.4 Why Now 70
        2.4.1 The Amount of Data is Growing Exponentially 71
        2.4.2 The Expectation of Customers is Changing 71
        2.4.3 Business Decisions Require Data 72
        2.4.4 The Competition Does it Already 72
        2.4.5 The War for Talent has Started 72
        2.4.6 Data Privacy Sensitivity Increases 72
        2.4.7 Progress in Technology Accelerates Even Further 73
        2.4.8 Change has Become the Norm 74
    References 74
3 Designing your Data Office 75
    3.1 What are the Preconditions to Succeed? 76
    3.2 What does a Data Office Deal with? 76
        3.2.1 What: The Data Vision 76
        3.2.2 How: Translate the Vision 77
        3.2.3 The Different Kinds of Data 78
    3.3 Shaping the Data Office 80
        3.3.1 The Culture of an Organisation 80
        3.3.2 Objectives of the Data Office 85
        3.3.3 The Footprint 86
        3.3.4 The Mandate 90
        3.3.5 Managing Expectations 91
        3.3.6 Positioning a Data Office in the Organisation 92
        3.3.7 The Data Office—Police or Service Provider 97
        3.3.8 Centralising the Management of Data? 101
        3.3.9 Data Collaboration 102
    3.4 The Chief Data Officer (CDO) 103
        3.4.1 Authority or Charisma? 103
        3.4.2 What are the Key Attributes of a CDO? 103
        3.4.3 What is the Future of the CDO Role? 104
    3.5 Data Governance: Review and Decision 105
        3.5.1 Data Councils 105
        3.5.2 Data Representation on Existing Bodies 107
        3.5.3 Data Review and Decision Process 108
        3.5.4 Data Ownership 109
    3.6 How can a Data Office Wield Influence? 110
        3.6.1 Internal Data Networks 110
        3.6.2 Data Guidelines 111
        3.6.3 Regular Reports to the Board 112
        3.6.4 Data needs Internal Marketing 113
    References 113
4 Implementing the Data Office 115
    4.1 Set the Targets—Plan the Journey 115
        4.1.1 Stocktaking 116
        4.1.2 Opportunities 118
        4.1.3 Aspiration 119
        4.1.4 Plan and Execution 119
    4.2 Stakeholder Management 120
        4.2.1 Be an Active Sponsor 120
        4.2.2 Use Strong Change Management 120
        4.2.3 Get People to Play Ball 121
        4.2.4 The Data Office and Business Functions 122
        4.2.5 The Data Office and IT 124
        4.2.6 The Chief Digital Officer 126
        4.2.7 The Employees 127
    References 128
Glossary 129
References 137

Pages: 137 pages
Publisher: Springer Vieweg; 1st ed. 2019 edition (December 16, 2019)
Language: English
ISBN-10: 3662603039
ISBN-13: 978-3662603031

PDF version
Springer__Becoming a data-driven Organisation Unlock the value of data.pdf (2.27 MB)


EPUB version
Springer__Becoming a data-driven Organisation Unlock the value of data.epub (3.33 MB)



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