Business Intelligence: Data Analysis and Reporting Techniques

This DIXONTECH course focuses on mastering Business Intelligence (BI) concepts and data analysis techniques to transform raw data into strategic insights. Participants will learn how to collect, process, visualize, and report data effectively using industry-standard BI tools such as Power BI, Tableau, and Excel. The course blends data analytics, visualization, and performance reporting to support smarter business decision-making.

TRAINING TOPICS:

• Fundamentals of Business Intelligence

• Data Collection and Analysis Frameworks

• Reporting and Dashboard Design

• Power BI and Tableau for Analytics

• Building Data-Driven Decision Systems

BY THE END OF THIS TRAINING COURSE, DELEGATES WILL BE ABLE TO:

By the end of this DIXONTECH training, participants will:

• Understand the principles of business intelligence systems

• Analyze and interpret data from multiple sources

• Build professional dashboards and visual reports

• Apply analytics to improve performance and decisions

• Automate data reporting processes effectively

• Use BI tools to communicate insights clearly

• Integrate analytics into business strategy

TRAINING IS TAILORED TO:

This course is designed for:

• Business analysts and data professionals

• Managers and decision-makers

• Financial and operations analysts

• IT and reporting specialists

• Project and performance managers

• Strategy and planning officers

• Anyone using data to support business improvement

TRAINING METHODOLOGY:

DIXONTECH delivers this program through interactive workshops, real-world data labs, and hands-on software sessions. Each participant works directly with BI platforms to analyze datasets, design dashboards, and automate reporting. The methodology ensures practical understanding and immediate workplace application of business intelligence practices.

DAY 1: Fundamentals of Business Intelligence

• Defining business intelligence and analytics value

• Components and architecture of BI systems

• Understanding data warehouses and data marts

• BI lifecycle: from data collection to insight delivery

• Difference between BI, analytics, and data science

• Role of BI in modern organizations

• Data governance and management in BI

DAY 2: Data Collection and Analysis Frameworks

• Data sources: internal, external, and web-based

• Data extraction, transformation, and loading (ETL)

• Cleaning and validating business data

• Analytical methods for structured datasets

• Creating relational data models

• Querying databases using SQL basics

• Case study: integrating multiple data sources

DAY 3: Reporting and Dashboard Design

• Key principles of effective reporting

• Designing visual dashboards for executives

• Selecting key metrics and KPIs

• Visualization techniques for performance tracking

• Combining charts, tables, and scorecards

• Storytelling with data for decision impact

• Creating interactive reports and filters

DAY 4: Power BI and Tableau for Analytics

• Getting started with Power BI and Tableau

• Data modeling and relationships setup

• Creating DAX and calculated measures

• Using visualizations and dynamic reports

• Implementing drill-down and interactive dashboards

• Connecting live and cloud data sources

• Case exercise: building an interactive BI dashboard

DAY 5: Building Data-Driven Decision Systems

• Embedding BI into business workflows

• Real-time analytics and predictive integration

• Automating data refresh and reporting schedules

• Collaborative analytics and sharing dashboards

• Aligning BI with corporate strategy and KPIs

• BI maturity and continuous improvement process

• Final project: full BI report and presentation