【独家发布】Making Big Data Work for Your Business

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Making Big Data Work for Your Business
Preface 1
Chapter 1: Building Your Strategy Framework 7
Using Big Data analytics to identify where to play and how to win,
to grow your business 8
Understanding the changing landscape 9
Identifying the strategic implications 11
Spotting and simulating growing influences 12
Simulating your organization's use of data 12
Understanding competitive actions 13
Establishing correlations 13
Integrating new possibilities into planning 13
Developing strategies 14
The Balanced Score Card approach 14
Force Field Analysis 16
Aligning existing initiatives 17
Cascading your strategy 19
Summary 22
Chapter 2: Creating an Opportunity Landscape and Collecting
Your Gold Coins 23
Building your Data Catalog 24
The Gold Coin approach 25
Identifying your Gold Coins 26
Qualification 27
Benefit assessment 27
Strategic advantage assessment 28
Assessing your Gold Coin project 30
Prioritizing your Gold Coins 31
Developing the prioritization framework 33
Building your Gold Mine 35
Summary 37
II Content
Chapter 3: Managing Your Big Data Projects Effectively 39
Recognizing how Big Data Analytics projects are different 40
Scope fluidity 40
Business case certainty 40
Focus specificity 41
Initiation and progression 42
Learning tolerance 42
Data complexity 42
Functional transaction processing 43
Defining unique success criteria 43
Creating an Explore, Validate, Amplify framework for Big Data
Analytics projects 44
Explore 44
Building use cases 44
Identifying data sources 44
Ingressing data 45
Deciding your analytics models 45
Applying analytical models on your selected data sets 46
Testing your hypothesis 46
Validate 46
Identifying more data sets 47
Retesting your use case 47
Identifying adjacent data types, sources, and data sets 47
Refining and extending your use case 47
Validating your modified use case 47
Identifying output data needs 48
Amplify 48
Building an enterprise data model 48
Refining the ingress process 48
Developing a functional user prototype 49
Developing repeatable analytical algorithms 49
Developing an application package 49
Hosting your data and application 50
Developing a user guide 50
Developing a communication package 50
Establishing a governance model 51
Treating customer-facing applications differently 52
Intellectual property protection 53
User experience excellence 53
A comprehensive approach for building an organizational Big
Data Analytics infrastructure 53
The enterprise data map 54
The enterprise data ingestion infrastructure 54
Scalable data storage 54
The analysis engine 54
Benefits map 55
The platform framework 55
Summary 56
Content III
Chapter 4: Building the Right Technology Landscape 57
Designing Big Data storage 58
Evolution of storage technology 58
Big Data storage architecture 60
Big Data storage calculations 61
The hardware and operating system needs for Big Data 62
Identifying the different technology layers 62
Quality check 64
Cleansing 64
Correlation 65
Enrichment 65
Data cataloging 66
Modeling for analysis 66
Classification and clustering 67
Statistical summary for preliminary insights 68
Human explorations 68
Selecting from your technology choices 68
An overview of key Big Data technology components 69
Hadoop 69
MapReduce 69
Programming languages 69
NoSQL 71
Other Hadoop components 72
Technology choices by layers 72
Making the right technology choices 75
Creating a visualization of your Big Data 75
Understanding the difference between Enterprise Data Warehouse
and Big Data 76
Summary 77
Chapter 5: Building a Winning Team 79
Understanding the distinctive skills you need 80
Data scientist 81
Skills of a data scientist 82
Sourcing data scientists 83
Experimental analyst 83
Skills of an experimental analyst 84
Sourcing experimental analysts 84
Application developer 85
Skills of an application developer 85
Sourcing application developers 86
Infrastructure specialist 86
Skills of an infrastructure specialist 87
Sourcing infrastructure specialists 87
Change leader 87
Skills of a change leader 88
Sourcing the change leader 89
IV Content
The project manager 89
Skills of a project manager 90
Sourcing the project manager 90
Defining the team and structure 90
Building an extended ecosystem 92
Educational institutes 92
The engagement framework 92
Best practices 93
Consulting organizations 93
The engagement framework 94
Best practices 95
Improving team alignment and performance 96
Training and orientation 96
Quick wins 97
Rotational leadership 97
Motivating your team towards progress 97
Summary 99
Chapter 6: Managing Investments and Monetization of Data 101
Understanding how data creates value 103
Insights and influence 103
Immediate and future value 104
Value creation for data 104
Capturing the value of data 105
Identifying the value 106
Building a value catalog 107
Understanding and capturing your Big Data costs 108
Data collection costs 109
Storage and processing costs 110
Software licensing costs 111
People costs 111
Infrastructure and administrative costs 112
Maintenance costs 112
Capturing the costs 112
Cost Context Framework 113
Monetizing your Big Data 113
Direct business impact 114
Selling data externally 114
Valuation of Big Data 115
Managing your Big Data investments 116
Summary 118
Chapter 7: Driving Change Effectively 119
Understanding changes caused by Big Data 121
The significance of changes 124
Applying the IMMERSE framework to manage change 125
Identify 126
Modulate 127
Content V
Mitigate 128
Educate 129
Role play 131
Show 131
Effect 132
Creating stakeholder groups to drive change 132
Project group 132
Work group 133
Review group 133
Summary 133
Chapter 8: Driving Communication Effectively 135
Identifying your communication needs 137
Communicating with the internal audience 137
Providing a general overview of Big Data 137
Sharing the strategic cascade 138
Communicating with the external audience 139
Engaging with customers 139
Swaying the business influencers 139
Roping in your ecosystem partners 140
Communicating with the shareholders 140
Selecting your communication channels 141
Communication channels 141
Channel effectiveness 143
Building your communication strategy 144
Building your communication plan 146
Engaging executives effectively 148
Monitoring and modulating your communication program 149
Effectiveness metrics 149
Measuring effectiveness 149
Summary 150

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