Technology and Analytics
How to turn a company’s data into decisions people actually act on.
Why this topic exists
Finance roles increasingly expect you to handle data, not just receive it. This is the part of the syllabus most connected to where jobs are going.
What you’ll be able to do
- ✓Move from "what happened" to "what should we do about it"
- ✓Judge what to automate and what still needs a human
- ✓Build reports that change a decision instead of just filling a page
Finance data analyst and BI roles — the fastest-growing corner of the profession.
A lot of terminology (ERP, data governance, RPA). None of it requires coding.
Finance Data Analyst · FP&A Analyst · BI Analyst · Finance Transformation Analyst
About 3 weeks of study. of the full Part 1 course.
Want the detailed topic list? Optional
The accounting information system
Six transaction cycles feed one general ledger. Understand the cycles and you understand how a company's numbers are born.
The data architecture library
Where does all this data live? In structures with specific jobs.
The enterprise performance cockpit
EPM software is where strategy, budgets, forecasts, actuals and KPIs meet in one cockpit — the digital home of everything you learned in Missions 2 and 3.
This is a summary for orientation, not the official syllabus. The complete content specification is published by IMA at imanet.org. In class we cover all of it, in order, with MCQs after every concept.
You don’t have to figure this out alone.
Every topic here is taught live by a CA or CMA, followed by MCQs solved together until the logic sticks. Watch a free demo before deciding anything.