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| About the Author | |
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| Foreword | |
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| Acknowledgements | |
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| The Data-Knowledge Crunch | |
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| Introduction | |
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| The data and information explosion | |
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| The failure to turn data into mission-critical insights | |
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| Investment in business intelligence | |
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| Evidence-based management | |
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| Conclusions | |
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| The Evidence-Based Management Model | |
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| Introduction | |
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| Evidence-based medicine | |
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| The scientific method | |
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| The EbM model explained | |
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| Conclusions | |
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| Identifying Objectives and Information Needs | |
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| Introduction | |
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| How a police 'SWAT' team uses EbM | |
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| Step 1 - sub-step one: what do we need to know? | |
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| Strategic performance management frameworks | |
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| A strategy map as a hypothesis | |
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| Who needs to know what, when and why? | |
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| What are the most important unanswered questions? | |
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| Ten steps for creating good KPQs and KAQs | |
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| Conclusions | |
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| Collecting the Right Data | |
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| Introduction | |
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| Key performance indicators and building evidence | |
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| Collecting the right data | |
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| What is evidence and what is data? | |
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| Data collection methodologies | |
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| Quantitative data collection methods | |
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| Qualitative data techniques | |
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| Using both quantitative and qualitative data | |
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| Making data collection part of the job | |
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| Engaging pepole in data collection | |
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| Assigning meaning to data | |
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| Reliability and validity | |
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| Planning the data collection process | |
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| The role of IT infrastructure and applications in the collection of data | |
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| Conclusions | |
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| Analyse the Data and Gain Insights | |
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| Introduction | |
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| Data analysis | |
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| Budgeting and planning | |
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| Reporting and consolidation | |
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| Value-driver modelling | |
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| Experimentation | |
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| Role of IT infrastructure and applications in analysing data | |
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| Conclusions | |
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| Present and Communicate the Information | |
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| Introduction | |
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| How to get the attention of decision makers | |
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| Publishing analogies | |
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| Guidance for presenting information | |
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| The role of IT infrastructure and applications in presenting information | |
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| Conclusions | |
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| Turning Information into Actionable Knowledge | |
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| Introduction | |
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| Ensure that the available evidence is used to make the best decisions | |
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| Turning knowledge into action | |
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| The knowing doing gap | |
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| Conclusions | |
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| Conclusion and Action Checklist | |
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| Introduction | |
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| Action checklist | |
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| Final words | |
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| References | |
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| Index | |