The British Academy for Training and Development offers this training program on "Business Intelligence: Data Analysis and Reporting Techniques", delivered by a specialized team from the academy. The program aims to provide participants with an in-depth understanding of the role of data in shaping a clearer and more accurate organizational vision.

This program aligns with the rapid shift toward data-driven decision-making, where organizations increasingly consider data as a strategic resource, equally critical as human and financial resources.

The program explores the evolution of business intelligence from simple descriptive reporting to an advanced system encompassing predictive analytics and dashboard creation for comprehensive performance insights. It emphasizes enhancing participants’ ability to work with modern analytical tools and transform raw data into actionable insights that management can use for planning and monitoring. Additionally, the program instills a methodology for reading indicators and analyzing trends to prepare precise reports that reflect the organization’s reality and support its future direction.

Who Should Attend?

• Professionals working in analytics and data management departments within organizations.

• Planning officers and administrative reporting personnel.

• Managers and department representatives seeking to enhance their data literacy.

• Individuals interested in applying business intelligence techniques to improve organizational performance.

Knowledge and Benefits:

After completing the program, participants will be able to master the following:

• Understand the overall framework of business intelligence and its role in enhancing decision quality.

• Master essential methods for data analysis and exploration.

• Use modern tools to create reports and dashboards.

• Analyze key indicators and link them to the organization’s operational objectives.

• Develop the ability to convert data into clear, actionable outputs.

• Introduction to Business Intelligence and Data Analysis

  • Understanding the concept and components of business intelligence.

  • The role of data in improving organizational planning processes.

  • Understanding the relationship between data analysis and decision-making.

• Technical Infrastructure of Business Intelligence Systems

  • Introduction to databases and information storage systems.

  • The data lifecycle: from collection to analysis.

  • Characteristics of infrastructures that support business intelligence.

• Fundamentals of Data Analysis and Exploration

  • Methods for summarizing data and revealing initial patterns.

  • Evaluating data quality before conducting analysis.

  • Examining initial trends within datasets.

• Graphical Analysis and Relationship Indicators

  • Representing data using visual presentation techniques.

  • Studying relationships between key variables.

  • Identifying outliers and assessing their impact on analysis.

• Working with Business Intelligence Tools

  • Understanding core functionalities in Power BI.

  • Overview of Tableau and its analytical visualization options.

  • Mechanisms for selecting the most suitable tool for the organization.

• Interactive Reporting

  • Building dashboards that provide clear insights for decision-makers.

  • Integrating multiple data sources within a single report.

  • Presenting analytical outputs in an organized and flexible manner.

• Analytical Models and Performance Evaluation

  • Using data to track performance within organizations.

  • Identifying key performance indicators (KPIs) and linking them to graphical analysis.

  • Analyzing time trends and their impact on operations.

• Forecasting and Predictive Analytics

  • Leveraging data to build accurate forecasts.

  • Assessing forecast accuracy compared to actual outcomes.

  • Applying forecasts in long-term planning.

• Designing Professional Reports

  • Creating reports that explain the meaning behind the data.

  • Organizing information in a way that serves senior management.

  • Developing presentation formats that support rapid and precise reading.

• Integrating Business Intelligence into the Workplace

  • Using reports to support daily operations.

  • Enhancing inter-departmental communication through analytical dashboards.

  • Establishing periodic mechanisms for updating data and improving output quality.