Monetizing Data

How to Uplift Your Business

Inbunden, Engelska, 2018

AvAndrea Ahlemeyer-Stubbe,Shirley Coleman

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Practical guide for deriving insight and commercial gain from data Monetising Data offers a practical guide for anyone working with commercial data but lacking deep knowledge of statistics or data mining. The authors — noted experts in the field — show how to generate extra benefit from data already collected and how to use it to solve business problems. In accessible terms, the book details ways to extract data to enhance business practices and offers information on important topics such as data handling and management, statistical methods, graphics and business issues. The text presents a wide range of illustrative case studies and examples to demonstrate how to adapt the ideas towards monetisation, no matter the size or type of organisation.The authors explain on a general level how data is cleaned and matched between data sets and how we learn from data analytics to address vital business issues. The book clearly shows how to analyse and organise data to identify people and follow and interact with them through the customer lifecycle. Monetising Data is an important resource: Focuses on different business scenarios and opportunities to turn data into valueGives an overview on how to store, manage and maintain dataPresents mechanisms for using knowledge from data analytics to improve the business and increase profitsIncludes practical suggestions for identifying business issues from the dataWritten for everyone engaged in improving the performance of a company, including managers and students, Monetising Data is an essential guide for understanding and using data to enrich business practice.

Produktinformation

Utgivningsdatum2018-04-27
Mått160 x 231 x 25 mm
Vikt590 g
FormatInbunden
SpråkEngelska
Antal sidor384
FörlagJohn Wiley & Sons Inc
ISBN9781119125136

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About the Authors xiList of Figures xiiiList of Tables xviiPreface xix1 The Opportunity 11.1 Introduction 11.2 The Rise of Data 11.3 Realising Data as an Opportunity 31.4 Our Definition of Monetising Data 51.5 Guidance on the Rest of the Book 62 About Data and Data Science 92.1 Introduction 92.2 Internal and External Sources of Data 92.3 Scales of Measurement and Types of Data 132.4 Data Dimensions 172.5 Quality of Data 172.6 Importance of Information 202.7 Experiments Yielding Data 212.8 A Data]readiness Scale for Companies 232.9 Data Science 272.10 Data Improvement Cycle 273 Big Data Handling, Storage and Solutions 293.1 Introduction 293.2 Big Data, Smart Data… 293.3 Big Data Solutions 313.4 Operational Systems supporting Business Processes 333.5 Analysis]based Information Systems 353.6 Structured Data – Data Warehouses 383.7 Poly]structured (Unstructured) Data – NoSQL Technologies 433.8 Data Structures and Latency 463.9 Data Marts 474 Data Mining as a Key Technique for Monetisation 494.1 Introduction 494.2 Population and Sample 494.3 Supervised and Unsupervised Methods 504.4 Knowledge]discovery Techniques 524.5 Theory of Modelling 534.6 The Data Mining Process 545 Background and Supporting Statistical Techniques 715.1 Introduction 715.2 Variables 725.3 Key Performance Indicators 745.4 Taming the Data 745.5 Data Visualisation and Exploration of Data 775.6 Basic Statistics 895.7 Feature Selection and Reduction of Variables 1005.8 Sampling 1055.9 Statistical Methods for Proving Model Quality and Generalisability and Tuning Models 1076 Data Analytics Methods for Monetisation 1216.1 Introduction 1216.2 Predictive Modelling Techniques 1236.3 Pattern Detection Methods 1416.4 Methods in practice 1557 Monetisation of Data and Business Issues: Overview 1637.1 Introduction 1637.2 General Strategic Opportunities 1647.3 Data as a Donation 1667.4 Data as a Resource 1727.5 Data Leading to New Business Opportunities 1807.6 Information Brokering using Data 1847.7 Connectivity as a Strategic Opportunity 1857.8 Problem]solving Methodology 1868 How to Create Profit Out of Data 1878.1 Introduction 1878.2 Business8.3 DataProduct Design 1968.4 Value of Data 1978.5 Charging Mechanisms 1998.6 Connectivity as an Opportunity for Streamlining a Business 2019 Some Practicalities of Monetising Data 2039.1 Introduction 2039.2 Practicalities 2039.3 Special focus on SMEs 2099.4 Special Focus on B2B Lead Generation 2149.5 Legal and Ethical Issues 2239.6 Payments 2319.7 Innovation 23210 Case Studies 23310.1 Job Scheduling in Utilities 23610.2 Shipping 24210.3 Online Sales or Mail Order 24610.4 Intelligent Profiling with Loyalty Card Schemes 25410.5 Social Media: A Mechanism to Collect and Use Contributor Data 26210.6 Making a Business out of Boring Statistics 26710.7 Social Media and Web Intelligence Services 27110.8 Service Provider 27510.9 Data Source 27810.10 Industry 4.0: Metamodelling using Simulated Data 28110.11 Industry 4.0: Modelling Pricing Data in Manufacturing 28810.12 Monetising Data in an SME 29210.13 Making Sense of Public Finance and Other Data 29710.14 Benchmarking Who is the Best in the Market 29910.15 Change of Shopping Habits Part I 30210.16 Change of Shopping Habits Part II 30810.17 Change of Shopping Habits Part III 31110.18 Service Providers, Households and Facility Management 31510.19 Insurance, Healthcare and Risk Management 31910.20 Mobility and Connected Cars 32210.21 Production and Automation in Industry 4.0 326Bibliography 331Glossary 341Index 357