Profitability is a key metric in any financial model and most modellers will start building their Profit & Loss / Income Statement in Excel. However, building a P&L semantic model in Power BI contains the detail which allows end-users to ask complex questions such as “What was R&D spending, broken down by a particular research project, fiscal period, or legal entity?” A semantic model also allows end-users to consume information using Copilot prompts, Power BI reports, or Pivot Tables and formulas in Excel. Watch to hear from Chris Barber, Microsoft MVP and author of “Income Statement Semantic Models”. In this session, we will go through:
- Why you should build an income statement semantic model
- How to use an accelerator to speed up development.
- The key questions you need to ask stakeholders.
- The challenges in building a P&L income statement.
★ Download the accompanying files
★ Follow Chris Barber on LinkedIn
★ Follow Danielle Stein Fairhurst on LinkedIn
★ Register for another Virtual Meetup
