MBSA2113 Modern Data Management Assignment Questions 2026 | UTM

University Universiti Teknologi Malaysia (UTM)
Subject MBSA 2113 Modern Data Management

MBSA2113 Assignment Questions

Course Code : MBSA 2113
Course : Modern Data Management
Programme : Master Of Business Administration
Duration  : 14 Days
Submission Date                : 11 July 2026, 23:59 PM
Marks : 100 (Contributing 30 % Of The Overall Marks)

Section A: 100 MARKS

❖ Answer ALL questions.
Justify every major decision clearly.
Diagrams must be labeled and explained.
Answers will be evaluated based on depth of reasoning, design quality, and clarity of explanation, not memorization.

Question 1: Data Architecture & Strategic Decision-Making

A regional logistics company operating across Southeast Asia faces the following challenges:

a) Data is generated from IoT sensors, mobile delivery apps, ERP systems, and external partners
b) Reports are delayed by up to 48 hours
c) Data inconsistency exists between operational and analytical systems
d) Management wants near real-time dashboards for strategic decisions

Tasks:

(a) Design a modern data architecture suitable for this organization.

(b) Clearly justify your choice of data storage models (e.g., data lake, data warehouse, lakehouse).

(c) Explain how data flows from source systems to decision dashboards.

(d) Discuss how your architecture balances scalability, governance, and cost.

Your answer must demonstrate how data “moves, transforms, and gains value” throughout the architecture.

(PO1, C6)
(50 marks)

Question 2: Data Quality, Governance & Trust

Senior management claims:

“We have a lot of data, but we don’t trust it.”

Tasks:

(a) Identify three root causes of low data trust in modern organizations.

(b) Design a data governance framework addressing ownership, quality, and accountability.

(c) Explain how metadata, lineage, and validation rules improve trust.

(d) Propose KPIs to measure data quality maturity over time.

Your answer must link governance mechanisms directly to managerial confidence.

(PO1, C6)
(25 marks)

Question 3: Big Data Processing & Analytics Justification

A retail chain collects:

ü    Transactional sales data (structured)

ü    Customer reviews (text)

ü    In-store video analytics (semi-structured metadata)

Management asks whether to use traditional RDBMS, NoSQL, or distributed big data platforms.

Tasks:

(a) Classify each data type and its processing needs.

(b) Recommend suitable data technologies for each.

(c) Justify why a single database solution is insufficient.

(d) Explain how integration across platforms enables holistic insights.

Focus on “why” decisions are made, not just “what” tools are used.

(PO1, C6)
(25 marks)

Requirements

Report must be type written with Times New Roman font size 12 and 1 ½ spacing. For references use Author (Year) format. Put in suitable headings, table of content, Figures and Table numbered from 1 onwards. Report must be of current   academic  standards  (also refer to journal papers/conference proceedings). The number of pages of text must not exceed 25 pages. You must submit to Turnitin for checking and zero marks will be awarded if found plagiarized.

Make sure turnitin similarity index is < 20%.

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