Curuksu Data Driven

An Introduction to Management Consulting in the 21st Century
1. Auflage 2018
ISBN: 978-3-319-70229-2
Verlag: Springer Nature Switzerland
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 197 Seiten

Reihe: Management for Professionals

This book is a 'scientific' introduction to management consulting that covers elementary and more advanced concepts, such as strategy and client-relationship. It discusses the emerging role of information technologies in consulting activities and introduces the essential tools in data science, assuming no technical background. Drawing on extensive literature reviews with more than 200 peer reviewed articles, reports, books and surveys referenced, this book has at least four objectives: to be scientific, modern, complete  and concise. An interactive version of some sections (industry snapshots, method toolbox) is freely accessible at econsultingdata.com.

Jeremy David Curuksu is a management consultant and data scientist who worked at Innosight and the Chief Analytics Office of IBM. He holds a PhD in bioinformatics and was a research scientist for 6 years in applied mathematics at the Polytechnic School of Lausanne and Massachusetts Institute of Technology. He published 6 first-author peer-reviewed articles, presented 100+ lectures in data science and 20+ seminars in management consulting at MIT and Harvard University.

Autoren/Hrsg.

Curuksu, Jeremy David

Inhaltsverzeichnis

1;Endorsements;5
2;Acknowledgments;6
3;Contents;7
4;Detailed Contents;8
5;List of Figures;12
6;List of Tables;13
7;About the Author;14
8;Introduction;15
9;1: Analysis of the Management Consulting Industry;19
9.1;1.1 Definition and Market Segments;19
9.1.1;1.1.1 The Value Proposition;19
9.1.2;1.1.2 Industry Life Cycle;20
9.1.3;1.1.3 Segmentation by Services;20
9.1.4;1.1.4 Segmentation by Sectors;22
9.1.5;1.1.5 Segmentation by Geography;27
9.2;1.2 Success Factors;29
9.3;1.3 Competitive Landscape;30
9.3.1;1.3.1 Basis of Competition;30
9.3.2;1.3.2 Emergence of New Information Technologies;30
9.3.3;1.3.3 Main Players;31
9.4;1.4 Operations and Value Network;32
10;2: Future of Big Data in Management Consulting;35
10.1;2.1 General Outlooks in the Management Consulting Industry;35
10.2;2.2 Future of Big Data in Management Consulting;36
10.2.1;2.2.1 Factors that Favor the Integration of Big Data in Management Consulting;36
10.2.2;2.2.2 Factors that Refrain the Transition;39
10.3;2.3 So What: A Scenario Analysis;40
11;3: Toolbox of Consulting Methods;45
11.1;3.1 Organizational Development;46
11.1.1;3.1.1 Strategic Planning;46
11.1.2;3.1.2 Innovation;46
11.1.3;3.1.3 Re-engineering;48
11.1.4;3.1.4 Scenario Planning;48
11.1.5;3.1.5 Brainstorming;49
11.1.6;3.1.6 Resource Allocation;49
11.1.7;3.1.7 Cost Optimization;50
11.1.8;3.1.8 Downsizing;50
11.2;3.2 Consumer Market Research;51
11.2.1;3.2.1 Documentary Research;51
11.2.2;3.2.2 Customer Segmentation;52
11.2.3;3.2.3 Surveys;52
11.2.4;3.2.4 Focus Group;54
11.2.5;3.2.5 Interviews;55
11.2.6;3.2.6 Big Data Analytics;56
11.2.7;3.2.7 Pricing;56
11.3;3.3 Competitive Intelligence;57
11.3.1;3.3.1 Supply Chain Management;57
11.3.2;3.3.2 Due Diligence;58
11.3.3;3.3.3 Benchmarking;58
11.3.4;3.3.4 Outsourcing;58
11.3.5;3.3.5 Mergers and Acquisitions;59
12;4: The Client-Consultant Interaction;60
12.1;4.1 Nature of the Relationship;60
12.1.1;4.1.1 The Big Picture: Theoretical Models;60
12.1.2;4.1.2 The Models in Practice;63
12.2;4.2 On the Client’s Expectations: Why Hire a Consultant?;66
12.3;4.3 Ethical Standards;68
12.4;4.4 The First Interview: Defining the Case and Objectives;69
12.4.1;4.4.1 Goals of First Meetings;69
12.4.2;4.4.2 Sample of Questions Consultant-to-Client;69
12.4.3;4.4.3 Sample of Questions Client-to-Consultant And How to Respond;70
12.5;4.5 Working with the Client During the Engagement;71
12.5.1;4.5.1 Clarifying Objectives;71
12.5.2;4.5.2 Executing Consulting Activities;72
12.5.3;4.5.3 Implementing the Recommendations;72
12.6;4.6 Stand and Deliver: Terminating the Assignment;72
12.6.1;4.6.1 Preparing the Slides;73
12.6.2;4.6.2 Delivering the Presentation;75
13;5: The Structure of Consulting Cases;77
13.1;5.1 How to Develop a Tailored Structure?;77
13.2;5.2 Proposition for a “One-Size-Fits-All”;79
13.3;5.3 The Profit Framework;80
13.4;5.4 The Pricing Framework;81
13.5;5.5 Operations;82
13.6;5.6 Growth and Innovation;83
13.7;5.7 Mergers and Acquisitions;85
13.8;5.8 New Ventures and Startups;86
14;6: Principles of Data Science: Primer;88
14.1;6.1 Basic Mathematic Tools and Concepts;90
14.2;6.2 Basic Probabilistic Tools and Concepts;96
14.3;6.3 Data Exploration;99
15;7: Principles of Data Science: Advanced;102
15.1;7.1 Signal Processing: Filtering and Noise Reduction;103
15.2;7.2 Clustering;106
15.3;7.3 Computer Simulations and Forecasting;108
15.3.1;7.3.1 Time Series Forecasts;109
15.3.2;7.3.2 Finite Difference Simulations;110
15.3.3;7.3.3 Monte Carlo Sampling;114
15.4;7.4 Machine Learning and Artificial Intelligence;117
15.4.1;7.4.1 Overview of Models and Algorithms;117
15.4.2;7.4.2 Model Design and Validation;124
15.4.3;7.4.3 Natural Language Artificial Intelligence;127
15.5;7.5 Case 1: Data Science Project in Pharmaceutical R&D;130
15.6;7.6 Case 2: Data Science Project on Customer Churn;137
16;8: Principles of Strategy: Primer;143
16.1;8.1 Definition of Strategy;143
16.2;8.2 Executing a Strategy;144
16.3;8.3 Key Strategy Concepts in Management Consulting;144
16.3.1;8.3.1 Specialization and Focus;144
16.3.2;8.3.2 The Five Forces;145
16.3.3;8.3.3 The Value Chain and Value Network;147
16.3.4;8.3.4 Integration;149
16.3.5;8.3.5 Portfolio Strategies;150
16.3.6;8.3.6 Synergy;152
16.3.7;8.3.7 The Ansoff Growth Matrix;153
16.3.8;8.3.8 Innovation Strategies;154
16.3.9;8.3.9 Signaling;158
16.4;8.4 Marketing Strategies;160
16.4.1;8.4.1 Customer Segmentation;160
16.4.2;8.4.2 Market Analysis;161
16.4.3;8.4.3 Competitive Analysis;162
16.4.4;8.4.4 Positioning;163
16.4.5;8.4.5 Benchmarking;165
17;9: Principles of Strategy: Advanced;167
17.1;9.1 Functional Strategy;167
17.1.1;9.1.1 Performance Strategies;167
17.1.2;9.1.2 Quality Management;170
17.1.3;9.1.3 Operation Strategies;172
17.1.4;9.1.4 Information Technology Strategies;173
17.1.5;9.1.5 Turnaround Strategies;175
17.1.6;9.1.6 Downsizing Strategies;176
17.2;9.2 Business Strategy;176
17.2.1;9.2.1 Marketing Strategies;176
17.2.2;9.2.2 Small Business Innovation Strategies;180
17.3;9.3 Corporate Strategy;181
17.3.1;9.3.1 Resource Allocation Portfolio Strategies;181
17.3.2;9.3.2 Outsourcing Strategies;182
17.3.3;9.3.3 Merger and Acquisition Strategies;182
17.3.4;9.3.4 Collaboration, Cooperation (and Coexistence…) Strategies;183
18;Conclusion;184
19;References;186
20;Index;195