Profit & Loss Semantic Models with Chris Barber, Microsoft MVP

AGENDA:
18:00 - Introductions
18:05 - Chris Barber: Profit & Loss Semantic Models
19:00 - Networking & refreshments
20:00 - Finish

Session Description: Profit & Loss Semantic Models

Profitability is a key metric; any profits can be distributed back to shareholders (owners) either directly or indirectly. A profit and loss (P&L) statement answers high level questions - such as “what was net profit last year?” - and summarises key revenue (i.e., product revenue) and expense (i.e., Research & Development) items. Unlike static reports, a P&L semantic model contains the detail; this allows end-users to ask 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.

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.

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This event is kindly sponsored by Waterston's consultancy. You can check them out via the links below:
https://www.waterstons.com/
https://www.linkedin.com/company/waterstons/