Business Intelligence

This course introduces students to the concepts, tools, and techniques used to transform raw data into meaningful insights that inform business decision-making. This course covers the fundamentals of data collection, analysis, and visualization, with an emphasis on using business intelligence (BI) tools and platforms to support strategic and operational decisions. Topics include data mining, reporting, dashboards, key performance indicators (KPIs), and predictive analytics. Through practical exercises and real-world case studies, students will learn how to apply BI solutions to improve business performance.

Upon successful completion of this course, students will be able to:

• Understanding Business Intelligence Concepts: Students will gain a comprehensive understanding of the key concepts and components of business intelligence, including data collection, analysis, and reporting.
• Data Mining and Analysis Skills: Learn how to apply data mining techniques to extract valuable insights from large datasets and use those insights to inform business strategies.
• Proficiency in BI Tools and Platforms: Develop skills in using popular business intelligence tools (such as Power BI, Tableau, or similar platforms) to create reports, dashboards, and data visualizations that support decision-making.
• Strategic Application of BI: Learn to leverage business intelligence to identify trends, track KPIs, and make data-driven decisions that align with organizational goals and enhance operational efficiency.

These outcomes are designed to prepare students for careers in data analytics, business intelligence, and strategic decision-making by equipping them with the tools and techniques needed to transform data into actionable business insights.