Business Intelligence

Master the art of leveraging Business Intelligence to drive organizational success. Engage with our dynamic course designed to equip you with cutting-edge BI skills. Learn about BI solutions, terminology, strategic planning, data governance, analysis techniques, and toolsets to transform raw data into actionable insights.

Face-to-Face Apr 28, 2025 - Apr 30, 2025
updated
intermediate
Business Intelligence
MYR 5250

Training Provider Pricing

Material Fees: MYR 600

Pax:

MYR 8400

Features

3 days (9:00 AM - 5:00 PM)
21 modules
5 intakes
English

Subsidies

HRDC Claimable logo

What you'll learn

  • Develop competencies within a BICC to address common BI challenges.
  • Prioritize business intelligence initiatives using strategic frameworks.
  • Identify different maturity levels in Business Intelligence practices.
  • Implement data governance frameworks to maintain data integrity.
  • Explore the Business Intelligence Meta Model as a brainstorming tool.
  • Analyze top-down and bottom-up approaches in data handling.
  • Understand the fundamental concepts and value of Business Intelligence.
  • Learn key BI terminology including OLAP, dashboards, and ETL.
  • Assess the feasibility of BI projects within your organization.
  • Discover technologies that enable effective BI systems.

Why should you attend?

Business Intelligence (BI) is a transformative field that empowers organizations to make informed decisions based on data-driven insights. This course delves into the core principles and methodologies of BI, exploring its value in today's data-centric world. Participants will learn about the problems BI can solve and the components of a robust BI solution. The curriculum includes an in-depth look at essential BI terminology, such as OLTP, OLAP, dashboards, scorecards, and ETL processes. Building on this foundation, the course outlines a strategic roadmap for BI initiatives, emphasizing the role of business analysts in delivering value through effective use of the Business Intelligence Meta Model (BIMM). Further topics include strategic prioritization techniques like Timeboxing and MoSCoW Analysis, assessing project feasibility, understanding BI maturity levels, and exploring various BI technologies. Data governance frameworks and analysis methods are also covered to ensure quality and consistency in data handling. The course concludes with practical insights into developing data warehouses, defining competence within a Business Intelligence Competency Center (BICC), change management strategies, and an overview of BI tools.

Course Syllabus

What Business Value Does BI Deliver?
BI Problems: Then and Now
Components of a BI Solution
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 1
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 2
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 3

Minimum Qualification

graduate

Target Audience

engineers
executives

Methodologies

lecture
slides
case studies
labs
group discussion

Why should you attend?

Business Intelligence (BI) is a transformative field that empowers organizations to make informed decisions based on data-driven insights. This course delves into the core principles and methodologies of BI, exploring its value in today's data-centric world. Participants will learn about the problems BI can solve and the components of a robust BI solution. The curriculum includes an in-depth look at essential BI terminology, such as OLTP, OLAP, dashboards, scorecards, and ETL processes. Building on this foundation, the course outlines a strategic roadmap for BI initiatives, emphasizing the role of business analysts in delivering value through effective use of the Business Intelligence Meta Model (BIMM). Further topics include strategic prioritization techniques like Timeboxing and MoSCoW Analysis, assessing project feasibility, understanding BI maturity levels, and exploring various BI technologies. Data governance frameworks and analysis methods are also covered to ensure quality and consistency in data handling. The course concludes with practical insights into developing data warehouses, defining competence within a Business Intelligence Competency Center (BICC), change management strategies, and an overview of BI tools.

What you'll learn

  • Develop competencies within a BICC to address common BI challenges.
  • Prioritize business intelligence initiatives using strategic frameworks.
  • Identify different maturity levels in Business Intelligence practices.
  • Implement data governance frameworks to maintain data integrity.
  • Explore the Business Intelligence Meta Model as a brainstorming tool.
  • Analyze top-down and bottom-up approaches in data handling.
  • Understand the fundamental concepts and value of Business Intelligence.
  • Learn key BI terminology including OLAP, dashboards, and ETL.
  • Assess the feasibility of BI projects within your organization.
  • Discover technologies that enable effective BI systems.

Course Syllabus

What Business Value Does BI Deliver?
BI Problems: Then and Now
Components of a BI Solution
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 1
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 2
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
Lunch
1 hour
Short Break
15 mins
Short Break
15 mins
Short Break
15 mins
Recap and Q&A
15 mins
End of Day 3
MYR 5250

Training Provider Pricing

Material Fees: MYR 600

Pax:

MYR 8400

Features

3 days (9:00 AM - 5:00 PM)
21 modules
5 intakes
English

Subsidies

HRDC Claimable logo

Minimum Qualification

graduate

Target Audience

engineers
executives

Methodologies

lecture
slides
case studies
labs
group discussion
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