Five Steps to Success with Evidence-Based Management
E-Book, Englisch, 252 Seiten, E-Book
ISBN: 978-0-470-66220-5
Verlag: John Wiley & Sons
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
As information and data volumes grow at explosive rates, thechallenges of managing this information is turning into a losingbattle for most companies and they end up drowning in data whilethirsting for insights. This is made worse by the severe skillsshortage in analytics, data presentation and communication.
This latest book by best-selling management expert Bernard Marr,will equip you with a set of powerful skills that are vital forsuccessful managers now and in the future. Increase your marketvalue by gaining essential skills that are in high demand but inshort supply.
Loaded with practical step-by-step guidance, simple tools andreal life examples of how leading organizations such as Google,CocaCola, Capital One, Saatchi & Saatchi, Tesco, Yahoo, as wellas Government Departments and Agencies have put the principles intopractice.
The five steps to more intelligent decision makingare:
* Step 1: More intelligent strategies - by identifyingstrategic priorities and agreeing your real information needs
* Step 2: More intelligent data - by creating relevant andmeaningful performance indicators and qualitative managementinformation liked back to your strategic information needs
* Step 3: More intelligent insights - by using goodevidence to test and prove ideas and by analysing the data to gainrobust and reliable insights
* Step 4: More intelligent communication - by creatinginformative and engaging management information packs anddashboards that provide the essential information, packaged in aneasy-to-read way
* Step 5: More intelligent decision making - by fosteringan evidence-based culture of turning information into actionableknowledge and real decisions
"Bernard Marr did it again! This outstanding and practical bookwill help your company become more intelligent and more successful.Marr takes the fields of business-intelligence, analytics andscorecarding to bring them together into a powerful andeasy-to-follow 5-step framework. The Intelligent Company is THEmust-read book of our times."
--Bruno Aziza, Co-author of best-selling book DriveBusiness Performance and Worldwide Strategy Lead, MicrosoftBusiness Intelligence
"Book after book Bernard Marr is redefining the fundamentals ofgood business management. 'The Intelligent Company' is a must readin these changing times and a reference you will want on your deskevery day!"
--Gabriel Bellenger, Accenture Strategy
Weitere Infos & Material
ABOUT THE AUTHOR.
ACKNOWLEDGEMENTS.
FOREWORD.
1 THE DATA-KNOWLEDGE CRUNCH.
Introduction.
The data and information explosion.
The failure to turn data into mission-critical insights.
Investment in business intelligence.
Evidence-based management.
Conclusions.
2 THE EVIDENCE-BASED MANAGEMENT MODEL.
Introduction.
Evidence-based medicine.
The scientific method.
The EbM model explained.
Conclusions.
3 IDENTIFYING OBJECTIVES AND INFORMATION NEDS.
Introduction.
How a police 'SWAT' team uses EbM.
Step 1 - sub-step one: what do we need to know?
Strategic performance management frameworks.
A strategy map as a hypothesis.
Who needs to know what, when and why?
What are the most important unanswered questions?
Ten steps for creating good KPQs and KAQs.
Conclusions.
4 COLLECTING THE RIGHT DATA.
Introduction.
Key performance indicators and building evidence.
Collecting the right data.
What is evidence and what is data?
Data collection methodologies.
Quantitative data collection methods.
Qualitative data techniques.
Using both quantitative and qualitative data.
Making data collection part of the job.
Engaging people in data collection.
Assigning meaning to data.
Reliability and validity.
Planning the data collection process.
The role of IT infrastructure and applications in the collectionof data.
Conclusions.
5 ANALYSE THE DATA AND GAIN INSIGHTS.
Introduction.
Data analysis.
Budgeting and planning.
Reporting and consolidation.
Value-driver modelling.
Experimentation.
Role of IT infrastructure and applications in analysingdata.
Conclusions.
6 PRESENT AND COMMUNICATE THE INFORMATION.
Introduction.
How to get the attention of decision makers.
Publishing analogies.
Guidance for presenting information.
The role of IT infrastructure and applications in presentinginformation.
Conclusions.
7 TURNING INFORMATION INTO ACTIONABLE KNOWLEDGE.
Introduction.
Ensure that the available evidence is used to make the bestdecisions.
Turning knowledge into action.
The knowing doing gap.
Conclusions.
8 CONCLUSIONS AND ACTION CHECKLIST.
Introduction.
Action checklist.
Final words.
REFERENCES.
INDEX.
