Module: Workflow & Data Management

Latest Module Specifications

Current Academic Year 2025 - 2026

Module Title	Workflow & Data Management
Module Code	BAA1028 (ITS: MT414)
Faculty	DCU Business School	School	DCU Business School
NFQ level	8	Credit Rating	5

Description

Analytics, together with innovating technologies, including big data, will be the foundation of new and better businesses. The analytical process starts with data, and future business leaders need to guarantee that the data flow for business analytics is efficient and secure. By developing skills and experience in the design and implementation of cloud-based databases and workflow, students will master some of the most used technologies for managing data analytics in organisations. To do so, students will be familiarised with some of the most current tools for database management (e.g. Apache Spark), cloud computing (e.g. AWS ecosystem), and version control (e.g. GitHub). Students will also learn about data security and how to avoid breaches of API keys and other relevant data.

Learning Outcomes

1. Have the ability to work within a Data Analytics team using cloud-based technologies.
2. Set up an efficient Data Analytics workflow while ensuring the security of the data.
3. Have the ability to explain and apply the key functions of version control applied to data analytics.
4. Critically review the existing workflow of an organisation and suggest improvements to increase its performance

*Type*	*Hours*	*Description*
Workload	Full time hours per semester
Workshop	12	No Description
Lecture	24	No Description
Online activity	24	Github Self directed learning
Assignment Completion	40	No Description
Independent Study	25	No Description
Total Workload: 125

Section Breakdown
CRN	20066	Part of Term	Semester 2
Coursework	0%	Examination Weight	0%
Grade Scale	40PASS	Pass Both Elements	Y
Resit Category	RC1	Best Mark	N
Module Co-ordinator	Damien Dupré	Module Teacher	Andreas Robotis

Type	Description	% of total	Assessment Date
Assessment Breakdown
Digital Project	Create and efficient and secure workflow plan workflow for a cloud based project	50%	Week 26
Written Exam	Critically review the workflow for a client, identifying any potential for performance enhancement and identifying any potential security issues.	50%	Sem 2 End

Reassessment Requirement Type
Resit arrangements are explained by the following categories; RC1: A resit is available for both^* components of the module. RC2: No resit is available for a 100% coursework module. RC3: No resit is available for the coursework component where there is a coursework and summative examination element. ^* ‘Both’ is used in the context of the module having a coursework/summative examination split; where the module is 100% coursework, there will also be a resit of the assessment

Pre-requisite	None
Co-requisite	None
Compatibles	None
Incompatibles	None

All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml

Indicative Content and Learning Activities

Data Analytics Workflow in Organisations
Analytics scrum teams and sprints; Agile analytics project; Tools for efficient team collabortion

Cloud Computing
Database and storage applications; Instances, containers, and serverless computing

Version Control
Git and GitHub/GitLab commands; Collaborative Data analytics project management

Workflow Security
API key management; Potential security breaches and weaknesses

Workflow Performance
Processing speed and power; Scalability and reliability

Indicative Reading List

Books:

Caffo, B., Peng, R. D., & Leek, R. H.: 2016, Critically review the existing workflow of an organisation and suggest improvements to increase its performance, Leanpub,
Siegel, E., Glaeser, E. L., Kozyrkov, C., & Davenport, T. H.: 2020, Strategic Analytics: The Insights You Need From Harvard Business Review, Harvard Business Review,
Lisdorf, A.: 2021, Cloud Computing Basics: A Non-Technical Introduction, Apress,
Tsitoara, M.: 2019, eginning Git and GitHub: A Comprehensive Guide to Version Control, Project Management, and Teamwork for the New Developer, Apress,

Articles:
None

Other Resources

None

This module is 5 Credits of the 20 Credits for the Business Analytics Specialism.They are all co-requisites.