Financial Reporting with Power BI
2023TL; DR
Learn how to build financial reports in Power BI (focused on Income Statement) with a complete end-to-end run through of designing a data model based on financial transactions, ingesting monthly system extracts (CSV), data modelling/DAX (including time intelligence) and data visualisation.
Session Details
Learn how to build financial reports in Power BI (focused on Income Statement) with a complete end-to-end run through of designing a data model based on financial transactions, ingesting monthly system extracts (CSV), data modelling/DAX (including time intelligence) and data visualisation.
In this session you will learn how to:
• Capture report (and non-functional) requirements and design a corresponding data model to be built in Power BI
• Apply transformations to data in Power Query including how to automatically combine monthly CSV files, apply currency conversion and work with data at different grains/levels of detail (actual vs budget)
• Create basic calculations in DAX including key ratios such as Gross Profit % and Cost:Income Ratio
• Present data in the format of traditional financial statements in Power BI using the native matrix visual and custom visuals, including creating different views (e.g. monthly vs quarter/year to date) and with the ability to drill into individual transactions
• Perform variance analysis using waterfall charts, KPI cards and custom visuals which allow you to understand the drivers of financial performance
In this session you will learn how to:
• Capture report (and non-functional) requirements and design a corresponding data model to be built in Power BI
• Apply transformations to data in Power Query including how to automatically combine monthly CSV files, apply currency conversion and work with data at different grains/levels of detail (actual vs budget)
• Create basic calculations in DAX including key ratios such as Gross Profit % and Cost:Income Ratio
• Present data in the format of traditional financial statements in Power BI using the native matrix visual and custom visuals, including creating different views (e.g. monthly vs quarter/year to date) and with the ability to drill into individual transactions
• Perform variance analysis using waterfall charts, KPI cards and custom visuals which allow you to understand the drivers of financial performance
3 things you'll get out of this session
They will get the opportunity to understand the full end-to-end process involved in building a financial report – from requirements gathering, to build and then deployment. Whilst they will also get access to the e-learning course based on this material, by attending this full day training they will also get the opportunity to try many of the concepts hands-on and ask questions/learn directly from the author of the material.
Speakers
Rishi Sapra's other proposed sessions for 2026
Data Storytelling in Power BI: From Reports to Narratives - 2026
From Excel to Fabric with AI Agents: Automating Migration with MCP Servers - 2026
From Excel to Fabric with AI Agents: Automating Migration with MCP Servers (Training Day) - 2026
From Manual Month-End to AI-Powered Finance in Fabric - 2026
From Manual Month-End to AI-Powered Finance: Building Self-Service Analytics in Fabric - 2026
From SAP Extracts to AI-Powered Insights (TRAINING DAY) - 2026
From SAP Extracts to AI-Powered Insights with Business Process Solutions - 2026
From Strategy to Execution: Building AI-Ready Data Products with Microsoft Fabric - 2026
From Strategy to Execution: Building AI-Ready Data Products with Microsoft Fabric (TRAINING DAY) - 2026
Taming the Firehose: Technical Acceleration and ADHD - 2026
Rishi Sapra's previous sessions
What does Microsoft Fabric mean for a Finance/Business Analyst?
For a business team such as Finance, Microsoft Fabric allows you to go from being “IT reliant” to “IT enabled” and this session shows you how!
Whether you’re a data explorer, data analyst, data engineer – or perhaps a newly coined analytics engineer – we will explore what Microsoft Fabric means for you. We will look at the need for the data platform components in Fabric, applied for a finance data use case, and consider the benefits of this being in a SaaS lakehouse architecture. We will also consider how you need to organise your Finance and IT teams to work best with Fabric so that you have the right capabilities to deliver meaningful financial insights at scale.
How to learn fast-changing tech in a post pandemic, Attention-starved world
Struggling to figure out how to learn about new features and pick up new skills in a technology environment that is moving so fast? In this session, Rishi will highlight some key principles of instructional design and how you can use them to become a better learner or teacher!
Power BI Governance: 6 steps to success
Learn how to deploy Power BI at scale within a large Enterprise. The mantra behind this is “discipline at the core, flexibility at the edge” - we will cover deploying appropriate guardrails/controls whilst still retaining the notion of “self-service” within the organization.
Storytelling With Data
Learn how to present arguments with data to effectively communicate the insights you need to get across
Tips and Tricks for working with Finance Data in Power BI
<p>Excel has always been the tool of choice for the finance team with the flexibility it provides for logic, formatting and presentation of numbers. But this flexibility has also caused Governance nightmares, performance issues and huge risks with manual processes. Is it possible to also achieve the desired outcomes and flexibility with Power BI whilst also having all the benefits of working in a more controlled, automated and feature-rich environment? Yes!
In this session Rishi will show how you can have your finance cake and eat it, showing how to build dynamically formatted financial statements , waterfall charts and KPIs in Power BI to tell an engaging story with finance data.
The Incidental Business Analyst (BA) – Designing a Finance Power BI Data Model to Tell a Story
Join this session to learn the key steps in designing a data model: Know Your Audience (KYA), Complete a Scoping Template, Define the data granularity/scope and design a conceptual model. We will use time-tested methodologies based on Kimball Data modelling techniques, including a Bus Matrix and Starnet, complete with templates available for you to freely download.