Leading Big Data Business Projects

Code

BUSI4393

School

Nottingham University Business School China

Level

4

Credits

10

Semesters

Spring China

Summary

This module explicitly focuses on technologies, planning and managerial issues associated with big data projects in business. Key concepts revolve around: understanding requirements; coordination of a business analytics team; the data lifecycle; using noSQL solutions (e.g. Hadoop, Pig, Hive, MongoDB); Linked data; taking solutions from evaluation to implementation (e.g. A/B Testing); Presenting persuasive results (e.g. d3, advanced python and HTML5); and extending to real- time/stream business analytics.

Target Students

MSc Business Analytics students

Classes

• One 2-hour lecture each week for 11 weeks

Total Contact Hours 22 hours (2/week over 11 weeks) 100 hours in Total. Background study 22 hours Coursework: 56 hours

Assessment

• 75% Project: Team project assessed via group (10 mins)
• 25% Presentation: Individual Presentation (5 mins)

Educational Aims

Learning Outcomes

Knowledge and understanding: This module develops a knowledge and understanding of:

Marketing and sales – different approaches for segmentation, targeting, positioning, generating sales, and the need for innovation in product and service design

Customers and stakeholders - customer expectations, service and orientation

The management of projects

Tools and techniques for transforming (big) data into useful information for business analysis and decision support

Communications – the comprehension and use of relevant communications for application in business and management, including the use of digital tools

Digital business – the development of strategic priorities to deliver business at speed in an environment where digital technology is reshaping traditional revenue and business models, associated risk management

Intellectual Skills: This module develops:

Being able to solve complex problems and make decisions: establish criteria, using appropriate decision-making techniques including identifying, formulating and solving business problems; and the ability to create, identify and evaluate options; the ability to implement and review decisions

Using information and knowledge effectively in order to abstract meaning from information and to share knowledge, including the use of quantitative skills

Professional Practical Skills: This module develops:

The ability to conduct research and enquiry into business and management issues either individually or as part of a team through research design, the collection and analysis of qualitative data, synthesis and reporting

The ability to conduct research and enquiry into business and management issues either individually or as part of a team through research design, the collection and analysis of quantitative data, synthesis and reporting

Effective performance within team environments and the ability to recognise and utilise individuals' contributions in group processes and to negotiate and persuade or influence others; team selection, delegation, development and management.  Leadership and performance management: selecting appropriate leadership style for different situations; setting objectives, motivating, monitoring performance, coaching and mentoring

The ability to recognise the need for and initiate change and to be able to manage change

The ability to recognise and address ethical dilemmas, corporate social responsibility and sustainability issues, applying ethical and organisational values to situations and choices

Transferable (key) Skills: This module develops:

High personal effectiveness: critical self-awareness, self-reflection and self-management; time management; conflict resolution, displaying commercial acumen, the ability to continue to learn through reflection on practice and experience

Soft skills: understanding the needs of others and empathy towards them; sensitivity to diversity in people and in different situations.

Conveners

• Dr Joseph Yu