Decision Support Systems and Business Intelligence BI & DSS
Introduction :
Decision Support Systems DSS and Business Intelligence BI are essential tools that enable modern organizations to make data-driven strategic decisions. This course provides a comprehensive understanding of how to analyze and transform data into actionable insights that improve organizational performance. Participants will explore key BI and DSS concepts, learn how to design interactive dashboards, and utilize modern analytical tools like Power BI and Tableau. The training also covers system integration, real-time data access, and scenario analysis to support informed decision-making. By the end of this course, professionals will have developed practical skills in data visualization, reporting, and building effective decision support systems that align with business goals.
Objectives :
- Understand the core concepts of Decision Support Systems and Business Intelligence.
- Differentiate between BI and DSS functionalities and applications.
- Analyze data to extract key performance indicators KPIs .
- Design interactive dashboards to support decision-making processes.
- Utilize analytical tools such as Power BI and Tableau.
- Apply data mining techniques for strategic insights.
- Integrate BI systems with enterprise data sources.
- Enhance decision-making capabilities through data-driven models.
Target Audience :
- Executives and decision-makers in organizations.
- Data analysts seeking to improve analytical skills.
- IT and digital transformation professionals.
- Information systems specialists in various sectors.
- Business strategists and consultants.
- Professionals interested in AI and data analytics.
- Trainers and consultants in information systems.
Content Outlines :
Module One – Introduction to DSS and BI
- Understanding Decision Support Systems.
- Foundations of Business Intelligence.
- The importance of data-driven decisions.
- Components of DSS and BI systems.
- Evolution of decision support technologies.
- Organizational impact of DSS and BI.
Module Two – BI Tools and Data Analysis
- Introduction to Power BI and Tableau.
- Descriptive and predictive data analysis.
- Data visualization techniques.
- Building interactive dashboards.
- Chart types and data presentation.
- Connecting BI tools to data sources.
Module Three – Applications of Decision Support Systems
- Practical DSS implementation examples.
- Designing decision models.
- Scenario analysis and decision-making.
- Database integration with DSS.
- Evaluating data-supported decisions.
- Using Excel and SQL in decision support.
Module Four – BI and DSS Integration
- Linking BI with DSS systems.
- Organizational integration models.
- Real-case integration practices.
- Overcoming integration challenges.
- Decision metrics and indicators.
- Measuring BI and DSS ROI.
Module Five – Future of BI and DSS
- Emerging trends in BI and DSS.
- Artificial Intelligence in decision support.
- Big data analytics.
- Cloud computing and support systems.
- Cybersecurity and data protection.
- Real-time decision-making tools.