
Building Enterprise- scale Financial Reports with Power BI

Full Agenda
01
Highlights
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4 Day Intermediate/Advanced course held in central London 26th-29th September 2022
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Covers advanced Data Preparation (Dataflows/Datamarts) connecting to a SQL Database and formatted files, Data Modelling/DAX (Including Calculation Groups and Dynamic Measures), Paginated Reports and Custom Visuals
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Held by Rishi Sapra (MVP) and the PPF Group of 2020/2021
02
Who this course is for
This comprehensive course is aimed at experienced Power BI users who want to understand how to work with complex financial (accounting) data.
This will be a hands-on tutorial-style session. Attendees will need a laptop with the latest version of Power BI Desktop installed.
04
Syllabus
Day 1:
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Working with scattered/complex financial data in Excel vs Power BI
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Connecting to a complete Power BI Data Model from Excel using Cube Formulas / to a Datamart using the SQL Connector
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How to gather requirements and design a conceptual data model using tools such as a Scoping Template, Bus Matrix and Starnets
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A review of an Enterprise Power BI Architecture using Dataflows/Datamarts (Connecting to SQL with Incremental Refresh and files stored on Teams), Shared Datasets, and Reporting with Custom Visuals
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Data visualization exercise with pre-built datasets
Day 2
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Creation of Dataflows/Datamarts in the Power BI Service (PPF Tenant)
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Using Power Query to build a General Ledger/Trial Balance from Transactions and building of conformed dimensions into a star schema
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Creation of core base measures e.g. calculating Revenue, COGS, Gross Profit, Gross Margin, Net Profit, Utilization
Day 3
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Creation of an Income Statement in Power BI using the native matrix visual (including calculation groups/dynamic measures) and custom visuals
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Creating Visualizations in Power BI such as waterfall charts, KPI cards
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A look at building fixed format financial statements using Paginated Reports
Day 4
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Advanced visualization and storytelling using custom visuals and Power BI interaction features
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A review of write-back solutions from third party vendors
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Modelling in Power BI using what-if parameters and Excel