Module Descriptors
CUSTOMER ECOSYSTEMS
COMP70002
Key Facts
Digital, Technology, Innovation and Business
Level 7
15 credits
Contact
Leader: Euan Wilson
Email: E.D.Wilson@staffs.ac.uk
Hours of Study
Scheduled Learning and Teaching Activities:
Independent Study Hours:
Total Learning Hours: 150
Assessment
- Coursework - Research Paper (2000 words) weighted at 70%
- Practical - Individual Practical Assignment (20 minute demo) weighted at 30%
Module Details
Learning Outcomes
1) DISCUSS CRITICALLY THE MAJOR DEVELOPMENTS IN DATA STORAGE WITH RESPECT TO DATA WAREHOUSING AND CLOUD SOLUTIONS
Enquiry
2) DISCUSS CRITICALLY THE USE OF DATA WITHIN ORGANISATIONS, WITH RESPECT TO DATA WAREHOUSING, AND QUALITY OF DATA ETC.
Knowledge and Understanding
3) ANALYSE, DESIGN AND BUILD AN APPROPRIATE SYSTEM UTILISING CURRENT DATA WAREHOUSING TECHNOLOGIES.
Analysis
Problem Solving
4) IDENTIFY AND DESIGN KEY COMPONENTS OF A CUSTOMER ECOSYSTEM ARCHITECTURE
Application
Enquiry
2) DISCUSS CRITICALLY THE USE OF DATA WITHIN ORGANISATIONS, WITH RESPECT TO DATA WAREHOUSING, AND QUALITY OF DATA ETC.
Knowledge and Understanding
3) ANALYSE, DESIGN AND BUILD AN APPROPRIATE SYSTEM UTILISING CURRENT DATA WAREHOUSING TECHNOLOGIES.
Analysis
Problem Solving
4) IDENTIFY AND DESIGN KEY COMPONENTS OF A CUSTOMER ECOSYSTEM ARCHITECTURE
Application
Assessment Details
The coursework will comprise two elements:
An Individual Research Paper (70%) (2,000 words) (Learning Outcomes 1 and 2)
An Individual practical assignment (30%) 20 minutes demo (Learning Outcome 3 and 4)
An Individual Research Paper (70%) (2,000 words) (Learning Outcomes 1 and 2)
An Individual practical assignment (30%) 20 minutes demo (Learning Outcome 3 and 4)
Indicative Content
This module will address:
- An overview of Data Warehousing principles and techniques
- Architectures, schemas design, tuning, loading (ETL), staging areas, data marts, and operational data stores etc.
- Components of a Customer Ecosystem
- Customer interaction with hub architectures
- Success and failure issues in Customer Ecosystems
- Digital business models
- Digital design patterns
- Kinball v Inman, OLAP and OLTP
- Logical v physical design
- Dimensional modelling
- Cloud storage, architectures and legislation
- Issues with respect to mobile, complex data, and biometrics data
- Structures to support CRM
- Quality and Integrity of Data
- An overview of Data Warehousing principles and techniques
- Architectures, schemas design, tuning, loading (ETL), staging areas, data marts, and operational data stores etc.
- Components of a Customer Ecosystem
- Customer interaction with hub architectures
- Success and failure issues in Customer Ecosystems
- Digital business models
- Digital design patterns
- Kinball v Inman, OLAP and OLTP
- Logical v physical design
- Dimensional modelling
- Cloud storage, architectures and legislation
- Issues with respect to mobile, complex data, and biometrics data
- Structures to support CRM
- Quality and Integrity of Data
Learning Strategies
The module uses 13 hours of formal lectures, and 26 hours of workshop based teaching which will include practical work, seminars and theoretical material. Extensive use is made of the VLE and of formative assessment.
Texts
Kang, U. and Ee-Peng, L. (2017) Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2017 Workshops, MLSDA, BDM, DM-BPM Jeju, South Korea, May 23, 2017, Revised Selected Papers (Lecture Notes in Computer Science), ISBN-10: 3319672738.
Krishnan, K. (2013) Data warehousing in the age of big data, Morgan Kaufmann, ISBN 970124058910.
Kinmball, R. et al, (2013) The data warehouse toolkit, Wiley, ISBN 9781118530801.
Bauer, S. (2013) Getting started with Amazon Redshirt, Packt, ISBN 978172178085.
Skilton, S. (2015) Building Digital Ecosystem Architectures: A Guide to Enterprise Architecting Digital Technologies in the Digital Enterprise (Business in the Digital Economy), Palgrave Macmillan, ISBN-10: 113755410X
Krishnan, K. (2013) Data warehousing in the age of big data, Morgan Kaufmann, ISBN 970124058910.
Kinmball, R. et al, (2013) The data warehouse toolkit, Wiley, ISBN 9781118530801.
Bauer, S. (2013) Getting started with Amazon Redshirt, Packt, ISBN 978172178085.
Skilton, S. (2015) Building Digital Ecosystem Architectures: A Guide to Enterprise Architecting Digital Technologies in the Digital Enterprise (Business in the Digital Economy), Palgrave Macmillan, ISBN-10: 113755410X
Resources
Oracle and SQLserver