The British Academy for Training and Development offers the Business Intelligence: Data Analysis and Reporting Techniques course, designed to offer attendees skills for data analysis, report writing, and business intelligence. Among the topics to be covered include data collection and preparation. The central theme is data accuracy and consistency. Data visualisation methods will be applied, such as creating impressive reports with Power BI and Tableau. Business analytics and predictive modelling techniques will help these professionals forecast market trends and make informed decisions based on data. Also, dashboard design and automation will enhance reporting and performance monitoring efficiency.

These reporting and BI methods will further improve the ability of attendees to read data and contribute to business success.

Objective:

At the end of the course, attendees will:

Learn data collection and preparation methodologies to preserve data integrity.Enhance their skills in data analysis techniques applied to decision-making.Study data visualisation methods employing tools such as Power BI and Tableau.Investigate business analytics and predictive modeling in exploring future trends.Understand design and automation of dashboards to streamline reporting.Increase the working knowledge of skills in reporting and BI methodologies for data driven insights. Utilise Power Query to ‘get and transform’ data from various sources, e.g., Excel tables and files, folders, Web, text, and pdf.Apply what if analysis using Excel modeling tools.Who Should Attend?

This course targets the following audiences:

Business and data analysts wishing to develop their BI skills.Managers and decision makers who utilise data driven insights.IT and technical personnel engaged in building BI solutions. Finance and marketing professionals applying analytics in strategic planning.Anyone wishing to gain expertise in data visualisation and reporting techniques.How will attendees benefit?

Attendees of the Business Intelligence: Data Analysis and Reporting Techniques course will gain numerous benefits:

Enhanced Data Analysis Skills: Learn gathering, cleansing and analysing data for significant insights. Competence in BI Tools: Hands-on experience with Power BI, Tableau, and various other data visualisation tools. Enhanced Decision Making: Support strategic planning using business analytics and predictive modeling. Advanced Reporting Techniques: Build interactive dashboards and automate reporting for efficiency. Career Enhancement: Aiding data driven, decision making enhances your value to your organisation. Real World Application: Put BI methodologies and performance monitoring techniques to work for the benefit of the business. 

At the end of this training course, attendees will be well positioned to implement business intelligence strategies and advance data based improvements.

Module 1: Introduction to Business Intelligence

• Overview of Business Intelligence (BI) and its importance

• Understanding data-driven decision-making

• Key BI tools and technologies

Module 2: Data Collection and Preparation

• Data sources and integration techniques

• Cleaning and transforming data for analysis

• Ensuring data accuracy and consistency

Module 3: Data Analysis Techniques

• Statistical and exploratory data analysis

• Identifying patterns and trends in data

• Fundamentals of predictive analytics

Module 4: Data Visualisation Techniques

• Principles of effective data visualisation

• Using Power BI and Tableau for dashboards and reports

• Storytelling with data for impactful communication

Module 5: Reporting and Dashboard Design

• Designing interactive dashboards for decision-making

• Automating data updates and reporting processes

• Enhancing user experience in dashboard design

Module 6: Business Analytics and Predictive Modelling

• Introduction to business analytics and forecasting

• Applying machine learning techniques in BI

• Case studies on predictive modelling and data-driven strategies

Module 7: Advanced Reporting Techniques

• Generating real-time reports and insights

• Implementing performance monitoring and KPI tracking

• Integrating BI with enterprise systems and cloud solutions