Introduction to Analytics - Context
•
0 gefällt mir•677 views
Course support for the first course
Empfohlen
Weitere ähnliche Inhalte
Was ist angesagt?
Was ist angesagt? (20)
Ähnlich wie Introduction to Analytics - Context
Ähnlich wie Introduction to Analytics - Context (20)
Mehr von Lee Schlenker
Mehr von Lee Schlenker (20)
Kürzlich hochgeladen
Kürzlich hochgeladen (20)
Introduction to Analytics - Context
- 2. • I work with managers to help them understand how enterprise applications, web and mobile technologies can enrich their careers. • The client portfolio in the ICT industry includes Microsoft, Apple, Ernst & Young, France Telecom, HP, IBM, Oracle and SAP . •The work with the IT industry in Europe has included fifty partner and customer conferences, a dozen case studies, and various marketing support activities. Prof. Lee SCHLENKER, Professor ESC Pau Mail : lee@lhstech.com Skype : leeschlenker LinkedIn : @LeeSchlenker Introduction
- 3. Change.org (2016) ©2016 L. SCHLENKER • Choose two teams of three managers who must act collectively • Each team can move to one empty chair at a time to get to the other side • You may “jump over” one member of the opposing team, but not your own • Act decisively – if you move out of turn both teams must start again Introduction
- 4. 4 The objective of this course is to introduce the students to Analytics ©2016 LHST sarl Administration • Analyze the context of each case to document the key processes of the organization or the market • Qualify the data at hand to understand the nature of the business challenges • Apply the appropriate methodologies in your predictive and prescriptive analyses, and • Integrate elements of visual communications in transforming the data into a call for collective action In this module , you will
- 5. 5 Analytics is all about making sense of the data ©2016 LHST sarl Date Subject Session 1 Context and Data Session 2 Decision Making and Session 3 Workshop 1 Session 4 Workshop 2 Session 5 Student Presentations, Exam Administration www.dsign4change.com
- 6. Analytics is the use of data, methods, analysis and technology to to help managers make better decisions. 1-6 Introduction psychological models data mining cognitive science decision theory information theory databases Business Analytics neuroscience statistics evolutionary models control theory
- 7. This a place where managers and students of management can discuss and debate best practises in the digital economy, new developments in data science and decision making. Ask questions and get practicable answers, and learn how to use data in decision making. Analytics for Management https://www.linkedin.com/ groups/13536539 Introduction
- 8. ©2016 L. SCHLENKER Agenda Introduction Administrative Details Business Basics Organizational Structures Mapping Context Administration
- 9. Grading Scale Participation: 50% of your grade will be based upon your participation in the course exercises and simulations and the pertinence of your class presentations. Exam: 50% of your grade will be based upon a multi-choice exam Administration
- 10. • Segment the market by needs… • Qualify your target segment • Develop your products or services to meet the need • Measure the results Tristan Kromer The Basics
- 11. Product Value • Delivery • Use Brand Value • Reputation • Promise Relationship Value • Experience • Conversation What do customers really value ? The Basics
- 12. Tranformational “Memory” itself becomes the product — the "experience" • Service economy – value comes from services embedded in the product • Pine and Gilmore argued that differentiation today comes from creating “experiences” • Starbucks, Michelin, Hermès, Apple • Companies provide “stages”, managers are “actors”, customers are active “spectators” The Basics
- 15. Technicity Reflection Imagination Cooperation Method Action John Holland ©2013 L. SCHLENKER Structures
- 16. Mapping