About This Course
In today's competitive marketplace, the ability to interpret and act on sales data is no longer optional — it is a critical business capability. Organisations that harness the power of data analytics consistently outperform those that rely on intuition alone, translating raw numbers into strategic actions that accelerate revenue, improve forecasting accuracy, and sharpen customer targeting.
Microsoft Power BI has emerged as one of the world's leading business intelligence platforms, enabling sales teams to connect multiple data sources, build dynamic dashboards, and share real-time insights across entire organisations. Yet many sales professionals and analysts lack the structured training needed to unlock the platform's full potential — relying instead on static spreadsheets and manual reporting processes that are slow, error-prone, and difficult to scale.
TrainingComplex's Sales Data Analytics Using Power BI Training is a comprehensive, tool-intensive programme designed to close that skills gap. Over ten intensive days, participants progress from foundational data concepts through to advanced DAX calculations, predictive analytics, and enterprise-level report distribution — all anchored in realistic sales scenarios drawn from African and global business contexts.
The programme combines guided instruction with extensive hands-on practice, ensuring that every concept is immediately applied to real sales datasets. By the end of the course, participants will be capable of designing professional-grade Power BI solutions that provide their organisations with clear, timely, and accurate sales intelligence — empowering leadership, sales managers, and frontline teams alike to make smarter commercial decisions every day.
Who Should Attend
- Sales Managers and Directors seeking data-driven insights to manage team performance and pipeline
- Business Analysts working within commercial, retail, or FMCG environments
- Revenue Operations and Sales Operations professionals responsible for reporting and forecasting
- Marketing Analysts who support sales teams with campaign and lead performance data
- Finance professionals who consolidate and analyse sales revenue and variance data
- IT professionals who support Power BI deployment and governance within their organisations
- Entrepreneurs and business owners who want to build their own sales performance dashboards
- Data enthusiasts transitioning into sales analytics or business intelligence roles
Learning Objectives
- Understand the Power BI ecosystem, including Power BI Desktop, Power BI Service, and Power BI Mobile
- Connect and import sales data from multiple sources including Excel, SQL databases, CRM systems, and cloud platforms
- Clean, transform, and shape raw sales data using Power Query Editor to ensure accuracy and consistency
- Design and implement a well-structured data model with appropriate relationships, hierarchies, and calculated columns
- Write DAX (Data Analysis Expressions) formulas to create key sales KPIs, measures, and time-intelligence calculations
- Build visually compelling and interactive sales dashboards that communicate performance at a glance
- Apply advanced analytics features including trend lines, forecasting, decomposition trees, and key influencers
- Publish, share, and manage Power BI reports and dashboards securely within the Power BI Service
- Implement row-level security and data governance best practices for enterprise-wide report distribution
- Integrate Power BI with other Microsoft tools including Excel, Teams, SharePoint, and Power Automate
- Develop sales forecasting models and pipeline health reports using real-world data scenarios
- Optimise Power BI reports for performance, mobile viewing, and executive-level presentation
- Apply learned skills to design a complete, organisation-ready sales analytics solution as a capstone project
Course Modules
Module 1: Introduction to Sales Data Analytics and the Power BI Ecosystem
- The role of data analytics in modern sales strategy and revenue management
- Overview of the Power BI ecosystem: Desktop, Service, Mobile, and Report Server
- Installing and navigating the Power BI Desktop interface
- Understanding the analytics workflow: data → model → visualisation → insight
- Comparing Power BI with other BI tools and understanding its positioning for sales teams
- Identifying common sales analytics use cases: pipeline reporting, territory performance, and quota tracking
Module 2: Connecting to Sales Data Sources
- Importing data from Excel workbooks, CSV files, and flat-file sales exports
- Connecting to SQL Server databases, SharePoint lists, and cloud storage
- Using web connectors and CRM data exports (Salesforce, Dynamics 365)
- Managing and refreshing data source connections in Power BI Desktop
- Combining multiple data sources into a unified sales dataset using append and merge queries
- Handling authentication methods and privacy level settings for secure data connections
Module 3: Data Transformation with Power Query Editor
- Navigating the Power Query Editor interface and the M language basics
- Cleaning messy sales data: removing duplicates, handling nulls, and standardising formats
- Splitting, merging, pivoting, and unpivoting sales transaction tables
- Creating reusable data transformation steps and query dependencies
- Using conditional columns and custom M expressions to derive new sales attributes
- Grouping and aggregating transaction-level data into summary tables for reporting
Module 4: Building a Sales Data Model
- Star schema design principles: fact tables, dimension tables, and their roles in sales analytics
- Creating and managing relationships between sales, product, customer, and date tables
- Building a dynamic date/calendar table for time-intelligence calculations
- Configuring hierarchies, data categories, and sort-by-column settings
- Defining cardinality and cross-filter direction to ensure accurate measure calculations
- Using calculated tables and role-playing dimensions to handle multiple date relationships in sales models
Module 5: DAX Fundamentals for Sales KPIs
- Understanding the difference between calculated columns, measures, and quick measures
- Writing core sales measures: Total Revenue, Units Sold, Average Order Value, and Gross Margin
- Using CALCULATE, FILTER, and ALL functions to create context-aware sales metrics
- Building a measures table and applying DAX formatting best practices
- Understanding row context versus filter context and how evaluation context affects sales calculations
- Creating dynamic segmentation measures to classify customers or deals by value bands or performance tiers
Module 6: Advanced DAX and Time-Intelligence Calculations
- Year-to-date, quarter-to-date, and month-to-date revenue calculations using TOTALYTD and DATESYTD
- Period-over-period comparisons: sales growth versus prior month, prior quarter, and prior year
- Ranking products, customers, and regions using RANKX and TOPN functions
- Building dynamic targets and variance analysis measures against budget or quota
- Using DATESINPERIOD and DATEADD to calculate rolling averages and moving sales windows
- Implementing cumulative revenue measures to track progress toward annual sales goals
Module 7: Designing Interactive Sales Dashboards and Reports
- Choosing the right visualisation type for each sales metric: bars, lines, maps, scatter plots, and KPI cards
- Applying slicers, cross-filtering, and drill-through to create interactive report experiences
- Designing for clarity: layout principles, colour palettes, typography, and executive readability
- Creating bookmarks, buttons, and page navigation for multi-page sales report presentations
- Using conditional formatting on tables and matrices to highlight outliers and performance thresholds
- Building tooltip pages to surface contextual detail without cluttering the main report canvas
Module 8: Advanced Analytics and AI-Powered Sales Insights
- Adding trend lines, forecasting visuals, and confidence intervals to sales time-series charts
- Using the Decomposition Tree to break down revenue drivers by product, region, and channel
- Applying the Key Influencers visual to identify factors that impact sales conversion and deal size
- Introduction to Q&A natural language queries for exploratory sales data analysis
- Integrating Python or R visuals to extend analytical capability for custom statistical sales models
- Using Smart Narratives to automatically generate data-driven text summaries of sales performance
Module 9: Publishing, Sharing, and Governing Sales Reports in Power BI Service
- Publishing reports from Power BI Desktop to the Power BI Service workspace
- Configuring scheduled data refresh, gateway setup, and data source credentials
- Sharing reports and dashboards with stakeholders using workspaces, apps, and direct links
- Implementing row-level security (RLS) to control data access by sales region or team
- Managing workspace roles and permissions to maintain appropriate editorial and viewing controls
- Monitoring report usage and adoption through the Power BI Service usage metrics dashboard
Module 10: Power BI Integration with Microsoft 365 and Power Automate
- Embedding Power BI reports in Microsoft Teams channels and SharePoint sites
- Exporting Power BI data to Excel for ad-hoc analysis and finance reconciliation
- Building automated alerts and data-driven notifications using Power Automate flows
- Using Analyse in Excel and the Power BI Excel add-in for advanced pivot-based reporting
- Triggering Power Automate workflows from Power BI data alerts to notify sales managers of threshold breaches
- Leveraging Power BI dataflows as a shared, reusable data preparation layer across multiple sales reports
Module 11: Sales Forecasting and Pipeline Analytics
- Building a structured sales pipeline report: stage distribution, velocity, and conversion rates
- Designing win/loss analysis dashboards segmented by product line, territory, and sales rep
- Creating rolling forecast models using DAX and Power BI's built-in forecasting engine
- Presenting pipeline health and revenue outlook reports to senior sales leadership
- Calculating weighted pipeline value and coverage ratio measures to assess forecast confidence
- Tracking deal ageing and stalled opportunities to support proactive pipeline management decisions
Module 12: Performance Optimisation and Mobile Report Design
- Identifying and resolving slow query performance using Performance Analyser
- Reducing model size through column pruning, aggregations, and import versus DirectQuery trade-offs
- Designing mobile-optimised report layouts using the Power BI Mobile Layout view
- Applying Power BI deployment pipelines for development, test, and production environments
- Using composite models and aggregation tables to balance query speed with data granularity in large sales datasets
- Configuring incremental data refresh policies to efficiently handle high-volume sales transaction history
Module 13: Capstone Project: End-to-End Sales Analytics Solution
- Designing a complete sales analytics solution from raw data to published executive dashboard
- Applying data modelling, DAX, and advanced visualisation skills in an integrated project scenario
- Presenting the finished dashboard to a panel of peers with a structured commentary on design decisions
- Reflecting on implementation roadmap: how to deploy the solution within participants' own organisations
- Documenting the data model, measure logic, and report structure to support handover and long-term maintainability
- Identifying opportunities for iteration and continuous improvement based on stakeholder feedback and evolving sales reporting requirements
Requirements & Prerequisites
Participants should have a working knowledge of Microsoft Excel, including basic formulas, tables, and pivot tables. Familiarity with sales processes and commercial terminology is beneficial, as exercises use realistic sales datasets throughout the programme. No prior experience with Power BI or formal data analytics training is required, though a basic comfort with computers and data files is assumed.
Training Methodology
- Step-by-step guided walkthroughs using live Power BI Desktop sessions on participant laptops with real sales datasets
- Hands-on lab exercises at the end of each module, where participants build components of a running sales dashboard
- Case studies drawn from retail, FMCG, financial services, and B2B sales environments across African and global markets
- DAX formula workshops with progressive challenge sets — from basic measures to advanced time-intelligence calculations
- Peer review sessions where participants critique and improve each other's dashboard designs for clarity and accuracy
- Scenario-based problem-solving tasks that replicate common sales reporting challenges encountered in real organisations
- Instructor-led demonstrations of Power BI Service features including publishing, sharing, scheduled refresh, and row-level security
- Group discussions on data governance, report governance, and best practices for enterprise Power BI deployment
- A structured capstone project in which each participant designs and presents a complete sales analytics solution for a realistic business scenario
- Post-session reflection prompts that encourage participants to map each skill directly to their own organisation's reporting needs
Organisational Benefits
- Faster, more accurate sales reporting that reduces manual effort and eliminates spreadsheet errors
- Real-time visibility into sales pipeline, revenue trends, and team performance across the organisation
- Improved sales forecasting that supports better inventory planning, resource allocation, and budgeting
- Stronger data culture within the sales and commercial teams, reducing reliance on guesswork
- Enhanced ability to identify top-performing products, regions, channels, and customers
- More effective sales meetings supported by dynamic dashboards rather than static PowerPoint slides
- Reduced reporting turnaround time, freeing analysts to focus on interpretation rather than data preparation
- Better cross-functional alignment between sales, finance, and marketing through shared data assets
- Increased ROI from existing Microsoft 365 and Power BI licences already held by the organisation
- A cadre of in-house Power BI talent capable of sustaining and expanding analytics capability over time
Where Is Sales Data Analytics Using Power BI Training Offered?
This course runs in-person across: Mombasa, Johannesburg, Nakuru, Lagos, Kigali, Dar es Salaam, Kampala, Cape Town, Riyadh, Naivasha, Addis Ababa, Accra, Kisumu, Arusha, Pretoria, Zanzibar, Abuja, Nairobi, Dubai, plus Live Virtual (online) cohorts. Browse live dates for your city below.
Upcoming Schedules
| Location | Format | Dates | Price |
|---|
| Mombasa, Kenya |
In-Person |
5 Oct 2026 – 16 Oct 2026 |
KES 230,000 |
| Johannesburg, South Africa |
In-Person |
5 Oct 2026 – 16 Oct 2026 |
USD 7,000 |
| Nakuru, Kenya |
In-Person |
12 Oct 2026 – 23 Oct 2026 |
KES 230,000 |
| Lagos, Nigeria |
In-Person |
12 Oct 2026 – 23 Oct 2026 |
USD 5,000 |
| Kigali, Rwanda |
In-Person |
19 Oct 2026 – 28 Oct 2026 |
USD 3,800 |
| Dar es Salaam, Tanzania |
In-Person |
19 Oct 2026 – 30 Oct 2026 |
USD 4,600 |
| Kampala, Uganda |
In-Person |
19 Oct 2026 – 28 Oct 2026 |
USD 3,800 |
| Cape Town, South Africa |
In-Person |
19 Oct 2026 – 28 Oct 2026 |
USD 7,600 |
| Riyadh, Saudi Arabia |
In-Person |
19 Oct 2026 – 28 Oct 2026 |
USD 9,000 |
| Naivasha, Kenya |
In-Person |
19 Oct 2026 – 28 Oct 2026 |
KES 240,000 |
| Addis Ababa, Ethiopia |
In-Person |
19 Oct 2026 – 30 Oct 2026 |
USD 4,800 |
| Accra, Ghana |
In-Person |
19 Oct 2026 – 28 Oct 2026 |
USD 7,600 |
| Kisumu, Kenya |
In-Person |
26 Oct 2026 – 4 Nov 2026 |
KES 240,000 |
| Arusha, Tanzania |
In-Person |
26 Oct 2026 – 4 Nov 2026 |
USD 4,200 |
| Live Virtual |
Online |
26 Oct 2026 – 4 Nov 2026 |
KES 160,000 |
+232 more dates — view live schedule →
Frequently Asked Questions
Do I need prior experience with Power BI to attend this course?
No prior Power BI experience is required. The programme starts from the ground up, introducing the platform step by step. A basic familiarity with Microsoft Excel and general comfort working with data files is all that is expected before you join.
Will I need to bring my own laptop?
Yes, participants are required to bring a Windows laptop with at least 8 GB of RAM and administrator rights to install software. Power BI Desktop is free to download from Microsoft, and the TrainingComplex team will provide setup instructions ahead of the course so you arrive ready to begin.
What datasets will we use during the training?
All exercises and labs use realistic sales datasets crafted specifically for this programme, covering industries such as retail, FMCG, financial services, and B2B distribution. These datasets mirror the data challenges participants typically face in their own organisations.
Will I receive a certificate upon completion?
Yes, all participants who attend and complete the programme receive a TrainingComplex Certificate of Completion in Sales Data Analytics Using Power BI. This certificate documents the skills acquired and can be shared with employers or added to professional profiles such as LinkedIn.
Is this course suitable for someone who manages a sales team but is not technically inclined?
The course is designed to be accessible to professionals with a commercial background, not just IT specialists. Concepts are explained clearly with business context, and all technical tasks are guided step by step. Sales managers who complete the programme consistently report that they can build and read their own dashboards without relying on IT support.
