Utilizing Business Intelligence in Problem-Solving and Decision-Making
Utilizing Business Intelligence in Problem-Solving and Decision-Making
$5200.00
"The role of business intelligence in problem-solving and decision-making"
🔰 Course Introduction:
In the fast-paced, data-driven business world, making effective, analysis-based decisions has become a strategic necessity. This course aims to enable participants to understand the concepts of Business Intelligence (BI) and apply them effectively in problem-solving and making smart, data-driven decisions.
🎯 Course Objectives:
Introducing participants to the concepts of business intelligence and its role in improving processes.
Distinguishing between types of decisions and stages of decision-making.
Learn how to use BI tools and techniques in data analysis.
Developing analytical thinking and problem-solving skills.
Implementation of practical applications to support institutional decision-making.
👥 Target audience:
Executive directors and team leaders.
Business analysts and information systems specialists.
Decision-makers in institutions.
Employees aspiring to understand data analysis and its support for decision-making.
🧠 Learning method:
Interactive lectures.
Analytical workshops.
Practical applications of BI tools (such as Power BI or Tableau).
Real case studies.
Group discussions and individual training.
📅 Course plan – 5 days:
Day One: Introduction to Business Intelligence and Decision-Making
What is business intelligence? And why is it important?
The decision-making life cycle in organizations.
Examples of BI applications in different environments.
Exercise: Analyzing a business problem scenario without BI.
Day Two: Business Intelligence Tools and Techniques
Introduction to the most popular BI tools (Power BI, Tableau, Qlik).
Data sources and their types (structured and unstructured).
Creating interactive dashboards.
Practical application: Designing a simple dashboard.
Day Three: Data Analysis for Problem Solving
Steps for problem analysis using data.
Analysis tools such as: SWOT, Root Cause Analysis, Fishbone.
The connection between KPIs and performance indicators.
Case Study: The Problem of Declining Sales and Analysis of the Causes.
Day Four: Decision support through BI
Decision-making models: Rational, Intuitive, Data-driven.
How do dashboards contribute to improving decisions?
Decision-making simulation using BI.
Exercise: Comparison between decisions with and without BI.
Day Five: Practical Project and Conclusion
Complete practical project: From problem to decision using BI.
Presentation of projects and discussion.
Feedback and summarizing concepts.
Final evaluation and participation certificates.
🏁 End of the course:
By the end of the course, participants will be able to:
Understanding the role of business intelligence in the context of modern business.
Using analytical tools to support decision-making.
Transforming data into effective strategic decisions.
Providing practical solutions to institutional problems using BI.
