Understanding of business intelligence and data analytics

Assignment Help Data Structure & Algorithms

Reference no: EM133119856

BMG880 Data Analytics - University of Ulster

The aim of this module is to provide students with the knowledge and practical skills forapplying business intelligence and data analytics principles to support management decision making in a business context. The module also equips students' with quantitative analysis and data visualisation skills to derive valuable insights from the data in a business context.

The module adopts 'learn by doing' approach to implement relevant features of a performance dashboard as part of the design and implementation of performance management system for a case organisation.

Learning Outcome 1: Demonstrate in-depth knowledge and understanding of business intelligence and data analytics methods, tools and technologies within a business context

Learning Outcome 2: Analyse business data using appropriate statistical techniques

Learning Outcome 3: Show competence in the use of business intelligence and analytics software

Learning Outcome 4: Design, implement and evaluate an appropriate business analytics solution within the context of business performance management.

Learning Outcome 5: Interpret outputs from data analysis and communicate findings in a professional manner

CONTENT

Enhancing decision making by using business intelligence and analytics tools Systems Analysis and Design Methods
Entity Relationship Modelling
Performance Management Systems
Business Reporting using performance dashboards
Data Visualisation and data presentation methods
Descriptive, Predictive and Prescriptive Analytics
Big Data Analytics

Taking the role of an external Consultant, they will be required to conduct a performance review of the organisation and will submit a 2500-word report that will critically review and evaluate a chosen area of interest, department, or sector.

The report will include the design and a deployment plan for a business intelligence/data analytics system (using appropriate data analytics software).

Secondary data sources will be used to direct the analysis as well as frame the problem/opportunity statement regarding the case company.

There is no expectation that students should collect primary data.

As part of the written assignment, students will be required to develop a decision support dashboard for the organisation.

Formative feedback will be provided to students during the semester by the module tutor during interactive workshop sessions. In addition, assignment briefing session will be run which will provide further opportunities of formative feedback to students.

Summative feedback will be provided to students on completion of their assignment to assess their performance.

The following marking criteria will be used to mark the report and the decision support dashboard;

1. Introduction to the problematic situation/opportunity regarding your selected organisation -400 words

2. Theoretical frameworks to link problem/opportunity of the case organisation- 800 words

3. Evidence of knowledge and understanding of business intelligence/data analytics systems. Marks will be awarded on the quality of analysis, data visualisations, interactive use of data analytics software and dashboard features submitted separately as a dashboard

4. Critical analysis and justification of dashboard solution to address the problematic/opportunity situation in the selected case company- 800 words

5. Conclusion and recommendations for the implementation of business intelligence/analytics system in the case organisation for the focused area of investigation- 400 words

6. Presentation including appropriate language, references used, clarity of expression and style; appropriate structure and format; length and the relevance of appendices if used

Attachment:- Data Analytics.rar

Reference no: EM133119856

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