Module Code: |
H8BI |
Long Title
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Business Intelligence
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Title
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Business Intelligence
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Module Level: |
LEVEL 8 |
EQF Level: |
6 |
EHEA Level: |
First Cycle |
Module Coordinator: |
Sophie Flanagan |
Module Author: |
ORLA LAHART |
Departments: |
School of Computing
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Specifications of the qualifications and experience required of staff |
Msc degree in Computer Science. Experience Lecturing , work experience or projects in the specific domain
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Learning Outcomes |
On successful completion of this module the learner will be able to: |
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Learning Outcome Description |
LO1 |
Develop and build a solid understanding of the value and purpose of an implementation of Business Intelligence technologies and strategies within industry and other domains |
LO2 |
Recognize and evaluate the theoretical and practical requirements for the implementation of strategic decision supporting Business Intelligence technologies |
LO3 |
Comprehend and contrast the technological foundational architectures supporting BI systems and workflows |
LO4 |
Build and evaluate a BI supportive platform through data collection and preparation with supporting complex visualization tools , reports and dashboards. with the ability to become proficient in storytelling of data, addressing audiences in an industry context and build upon key soft skills of communication in a BI role. |
LO5 |
Discover, discuss and critique recent and cutting edge BI and visualization technologies for both current and future implementations |
Dependencies |
Module Recommendations
This is prior learning (or a practical skill) that is required before enrolment on this module. While the prior learning is expressed as named NCI module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).
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No recommendations listed |
Co-requisite Modules
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No Co-requisite modules listed |
Module Content & Assessment
Indicative Content |
Concept of BI
○ Historical Context
○ Business Intelligence through Analytics
○ The Value of Correlation
○ Non-Trivial BI
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Informed Business Decision Making with BI
○ Enterprise Strategic Planning
○ Gaining Competitive Edge
○ Securing Longevity through BI
○ Decision Patterns
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Benefits of BI
○ Real World Scenarios
○ Positive Case Studies of BI
○ Negative Case Studies of BI
○ Best Practices and Standards
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Technologies of BI
○ Data warehousing and Data Marts
○ Business Intelligence
○ Data Mining
○ Online Analytical Process
○ Dashboards / Visualizations
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BI Application Framework
○ PowerBI
○ Tableau & Tableau Prep
○ Dynamics
○ ClickSense
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BI and the Cloud
○ Altrex
○ Apache Druid
○ Snowflake
○ Crisp DM
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Connecting to Data
○ API Implementations
○ Middle-ware Supporting BI
○ Dynamic Sources
○ Text and Sentiment Analysis
○ Real Time BI
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Data Preparation
○ Effectively Cleaning Data
○ T in ETL
○ Dealing with Ambiguity
○ Process Automation
○ Tools for Cleaning
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Future Implementations and Technologies
○ VR Virtual Reality
○ AR Augmented Reality
○ Machine Learning AI
○ Context Aware Applications
○ Online Analytical Process
○ RPA Robotic Process Automation
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Effective BI
○ Dashboards
○ Reports / Stories
○ Design Thinking
○ Data Presentations
○ Soft-skills & BI
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Assessment Breakdown | % |
Coursework | 100.00% |
AssessmentsFull Time
Coursework |
Assessment Type: |
CA 1 |
% of total: |
20 |
Assessment Date: |
n/a |
Outcome addressed: |
1,2,3 |
Non-Marked: |
No |
Assessment Description: Theory Based Assessment : Addressing the fundamental topics up to and including topic four, will be a timed assessment encompassing 20-30 questions |
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Assessment Type: |
CA 2 |
% of total: |
80 |
Assessment Date: |
n/a |
Outcome addressed: |
3,4,5 |
Non-Marked: |
No |
Assessment Description: Group Project Based: Encompassing the development lifecycle of an industry based BI solution, including but not limited to ETL, Reporting, visualization composition and CRM implementation. Students will also be assessed on storytelling of Data Visualizations and overall effective presentation skills. |
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No End of Module Assessment |
Reassessment Requirement |
Coursework Only
This module is reassessed solely on the basis of re-submitted coursework. There is no repeat written examination.
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Reassessment Description The learner will be given the opportunity to repeat any of the above assessments which have been failed, this will be a repeat assessment through coursework alone, no written repeat exam will be provided. An opportunity to repeat will be at the end of the semester.
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NCIRL reserves the right to alter the nature and timings of assessment
Module Workload
Module Target Workload Hours 0 Hours |
Workload: Full Time |
Workload Type |
Workload Description |
Hours |
Frequency |
Average Weekly Learner Workload |
Lecture |
Online / Classroom Activities |
24 |
Per Semester |
2.00 |
Tutorial |
Practical & Tutorial Activities |
12 |
Per Semester |
1.00 |
Independent Learning |
Independent Learning Activities |
89 |
Per Semester |
7.42 |
Total Weekly Contact Hours |
3.00 |
Module Resources
Recommended Book Resources |
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Vivek Kale. (2017), Enhancing Enterprise Intelligence, 1st. CRC Press, united states of America, p.378, [ISBN: 9781498705974].
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Rick Sherman. (2014), Business Intelligence Guidebook, Morgan Kaufmann, p.550, [ISBN: 9780124114616].
| Supplementary Book Resources |
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Efraim Turban. (2007), Decision Support and Business Intelligence Systems, Prentice Hall, p.772, [ISBN: 0131986600].
| This module does not have any article/paper resources |
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Other Resources |
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[website], Microsoft. Microsoft Power BI Self-paced Learning, Microsoft,
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[website], Tableau. Tableau - Guided Learning, Tableau,
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[website], Hubspot. Hubspot, Hubspot,
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[website], Microsoft. Microsoft Dynamics 365, Microsoft,
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[website], Salesforce. Salesforce CRM, Salesforce,
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