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BPMNK2033 BIDA A261

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Teaching Philosophy

“Innovation in education is not about the latest gadget; it’s about using technology to enhance learning outcomes

Business Intelligence and Data Analytics

Business Intelligence and Data Analytics (BIDA) equips students with the knowledge and practical skills to transform business data into meaningful insights for better decision-making. This transdisciplinary course integrates management, technology, statistics, and mathematics to prepare students for the challenges of today’s data-driven business environment and the Fourth Industrial Revolution (IR 4.0).

Students will learn to organise, analyse, visualise, and interpret data using spreadsheet-based analytical tools. Key areas include Microsoft Excel, data visualisation, PivotTables, descriptive analytics, probability distributions, regression analysis, forecasting, simulation, and data mining.

The course emphasises practical business applications and the interpretation of analytical results. By the end of the course, students will be able to communicate data-driven insights and recommend appropriate solutions to managerial problems.

  • Comprehend the importance and role of business analytics in supporting effective business decision-making
  • Apply appropriate analytical techniques to develop models and solve decision-making problems in business settings.
  • Interpret analytical results and provide appropriate recommendations for a given managerial situation

Program Information

Subject:

BPMNK2033

Mode:

FULLTIME

Semester:

A261

Participant

UG Student

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BPMNK2033 · A261 Sep Sem 2026/2027

Business Intelligence & Data Analytics

Turning raw organisational data into decisions that matter — from data sources and warehousing to dashboards, predictive insight, and the ethics of an analytics-driven business.

Data WarehousingVisualisationPower BIPredictive AnalyticsDecision Support
3Credit Hours
C & DGroups
14Weeks
100%Coursework
Why this course

Data is the asset. Insight is the advantage.

Four capabilities you will build this semester.

01

Understand BI

Trace how BI evolved from reporting systems into today's real-time, AI-assisted analytics.

02

Manage Data

Work with data sources, warehousing, ETL pipelines and the governance that keeps data trustworthy.

03

Analyse & Visualise

Build dashboards and KPIs that communicate clearly to managers, not just to analysts.

04

Decide & Advise

Apply descriptive, predictive and prescriptive analytics to real Malaysian business problems.

Course plan

Weekly Topics

Subject to adjustment; announcements posted on this site.

Week 1Introduction to Business Intelligence & Data Analytics
Week 2History and evolution of BI
Week 3The importance and business value of BI
Week 4Roles and responsibilities in a data-driven organisation
Week 5Data sources, data warehousing and ETL
Week 6Data quality, governance and security
Week 7Descriptive analytics and data visualisation
Week 8Dashboard design and KPI development
Week 9Hands-on lab: Power BI / Excel analytics
Week 10Predictive analytics fundamentals
Week 11Prescriptive analytics and decision support systems
Week 12Big data, cloud platforms and AI in BI
Week 13BI implementation, adoption and change management
Week 14Ethics, privacy and emerging trends · Group presentations
Evaluation

Assessment Breakdown

Continuous assessment throughout the semester.

Group Assignment & Project60%
Individual Assignment20%
Online Quiz20%
Toolkit

Tools We Will Use

Industry-standard software, free for students.

Microsoft Power BI

Dashboards, DAX measures and interactive reports.

Microsoft Excel

Pivot tables, Power Query and modelling.

SQL

Querying and shaping data from relational sources.

Google Looker Studio

Cloud-based reporting and sharing.

Get started

Quick Links

Everything you need for the semester.

KA
Your lecturer

Dr. Khairol Anuar Bin Ishak

School of Business Management, UUM · Groups C & D · Consultation by appointment.

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