Business Intelligence and Data Visualisation

5 daysClassroom

13Upcoming dates

13Cities

£2,250Fees from

Course overview

Why Attend

Business intelligence enables organizations to convert operational data into meaningful information for planning, performance management, and decision-making. The value of BI depends on more than producing charts; it requires reliable data, well-defined KPIs, appropriate analytical models, and visualisations that clearly communicate what is happening across the business.

This Business Intelligence and Data Visualisation course develops practical skills for collecting, preparing, analysing, and presenting business data. Participants will learn how to structure data for analysis, build performance measures, create interactive dashboards, identify trends and exceptions, and communicate findings to managers and stakeholders. The programme incorporates practical workflows using Power BI, Power Query, DAX, SQL, Excel, and established data visualisation techniques.

Professional Problems This Course Is Designed to Solve

Fragmented and unreliable business data — combining information from spreadsheets, databases, and operational systems into usable analytical datasets.
Poorly defined KPIs — translating business objectives into measurable indicators with clear definitions, ownership, targets, and calculation logic.
Weak data models — preventing inaccurate reporting caused by incorrect relationships, inconsistent dimensions, and poorly structured datasets.
Overloaded dashboards — replacing confusing charts and excessive metrics with focused visualisations designed around actual management decisions.
Slow reporting processes — reducing repetitive manual reporting through reusable queries, data models, refresh workflows, and self-service BI.
Insights without action — moving beyond descriptive reporting to identify drivers, exceptions, trends, and business implications.
Governance and trust issues — improving data quality, security, metric consistency, lineage, and responsible access to business information.

Course Methodology

The course uses practical demonstrations, instructor-led exercises, business datasets, analytical workshops, dashboard development activities, and case studies. Participants progress through the complete business intelligence workflow, from defining business questions and preparing data to developing analytical models, creating dashboards, and presenting actionable insights.

Course Objectives

By the end of this course, participants will be able to:

Understand the role of business intelligence in organizational decision-making
Translate business questions into analytical requirements and measurable KPIs
Prepare, clean, transform, and integrate data from multiple sources
Build structured data models for business intelligence reporting
Create business calculations and performance measures using DAX
Design interactive Power BI dashboards and management reports
Apply data visualisation principles to communicate information clearly
Analyze trends, variances, exceptions, and business performance drivers
Present analytical findings through effective data storytelling
Apply data quality, security, and governance principles to BI solutions

Target Audience

This course is suitable for:

Business intelligence analysts
Data analysts and reporting specialists
Business analysts
MIS and performance reporting professionals
Finance and management accounting professionals
Planning and strategy professionals
Operations and commercial analysts
Managers responsible for dashboards, KPIs, and business performance

Target Competencies

Participants will develop competencies in:

Business intelligence analysis
Data preparation and transformation
Data modelling
KPI development
Power BI reporting
DAX calculations
Data visualisation
Dashboard design
Business performance analysis
Data storytelling and decision support

Course outline

Day 1: Business Intelligence, Data Analysis and KPI Frameworks

Understanding business intelligence and its role in performance management
Mapping the BI process from business data to management decisions
Translating business questions into analytical and reporting requirements
Defining measures, dimensions, KPIs, targets, and performance thresholds
Distinguishing descriptive, diagnostic, predictive, and prescriptive analytics
Developing KPI frameworks for finance, sales, operations, and customer performance

Day 2: Data Preparation, Power Query and Data Modelling

Connecting to Excel, CSV, databases, and structured business data sources
Cleaning and transforming datasets using Power Query
Combining, merging, appending, grouping, and reshaping business data
Applying SQL queries for filtering, joining, aggregating, and preparing analytical data
Designing fact tables and dimension tables using star schema principles
Building relationships, hierarchies, date tables, and structured analytical models

Day 3: Power BI Analytics, DAX and Interactive Reporting

Creating business measures and calculated metrics using DAX
Measuring revenue, cost, profitability, growth, productivity, and operational performance
Performing actual versus budget, target, variance, and period-over-period analysis
Building interactive Power BI reports with slicers, filters, drill-down, and drill-through
Analyzing performance by customer, product, region, channel, and time period
Practical case study: Investigating performance problems and identifying their underlying drivers

Day 4: Data Visualisation and Executive Dashboard Design

Selecting effective charts for comparison, trends, distribution, relationships, and performance
Designing executive dashboards around business questions and management priorities
Applying visual hierarchy, layout, labeling, scale, and information design principles
Using KPI cards, charts, matrices, conditional formatting, and interactive visual elements
Identifying misleading visualisations, unnecessary complexity, and dashboard information overload
Practical workshop: Building a management dashboard that communicates performance and exceptions clearly

Day 5: Business Intelligence Governance, Data Storytelling and Decision Support

Establishing data quality controls for accurate and consistent BI reporting
Validating dashboard measures and reconciling results with source data
Managing report access, permissions, and row-level security in BI environments
Improving data model performance, maintainability, and reporting efficiency
Using data storytelling to communicate findings, business impact, and recommended actions
Capstone exercise: Developing and presenting an end-to-end Business Intelligence and Data Visualisation solution

Dates and fees

Dates	City	Fee
14 - 18 Dec 2026	Dubai, United Arab Emirates	£4,250
11 - 15 Jan 2027	Cape Town, South Africa	£4,500
8 - 12 Feb 2027	Amsterdam, Netherlands	£4,250
8 - 12 Mar 2027	London, United Kingdom	£4,200
12 - 16 Apr 2027	Istanbul, Turkey	£2,850
10 - 14 May 2027	Munich, Germany	£4,250
14 - 18 Jun 2027	Paris, France	£4,500
12 - 16 Jul 2027	Frankfurt, Germany	£3,250
9 - 13 Aug 2027	Kuala Lumpur, Malaysia	£2,250
13 - 17 Sep 2027	Rome, Italy	£4,250
11 - 15 Oct 2027	Vienna, Austria	£4,250
8 - 12 Nov 2027	Geneva, Switzerland	£5,250
13 - 17 Dec 2027	Madrid, Spain	£4,250

London Leadership Management InnovationRegister at llmi.uk/course/business-intelligence-and-data-visualisation