Amazon Q Enterprise Training for Finance & Accounting
Hands-on Amazon Q Enterprise training for finance & accounting teams, delivered onsite in Singapore on your own files. Analysis and reconciliation, Reporting and commentary, Close and planning.
Amazon Q Enterprise for finance & accounting teams
Amazon Q answers against connected systems rather than uploaded files, so the finance question becomes which systems are connected and who can see what. This programme covers the querying and the access scope together.
Where the work happens
- Connected sources
- Business question answering
- Data discovery
- Dashboard drafting
The work here is asking business questions against sources that are already connected, which makes source coverage and access scope part of the training rather than an afterthought.
Who this programme is for
Finance teams, controllers and FP&A leads. Teams standardised on AWS.
What the day covers
Module 1: Analysis and reconciliation
Reconciliation questions are asked against connected finance sources, with answers verified against the system of record.
Exercise. Work through a sample ledger, identify exceptions and validate calculations against the source.
What you leave with. A reviewed analysis worksheet and reconciliation checklist.
Module 2: Reporting and commentary
Reporting drafts are produced from connected data, with the source system named for every figure.
Exercise. Turn verified results into variance commentary, management reports and a board briefing.
What you leave with. A reporting template with source references and review checkpoints.
Module 3: Close and planning
Recurring close questions are turned into a standard set the team reruns each period.
Exercise. Draft a close checklist, explain budget movements and prepare follow-up questions for budget owners.
What you leave with. A repeatable month-end workflow and planning brief.
What this day does not cover
Scope is agreed before the session so the day stays hands-on.
- Connector configuration, index tuning or IAM policy design — that is work for your platform team, and it needs to be done before the session.
- QuickSight dashboard engineering or data modelling.
- Amazon Q Developer and coding assistance, which is a different product and a different audience.
Questions about Amazon Q Enterprise for finance & accounting
How is this different from uploading a spreadsheet to a chatbot?
Amazon Q answers from connected systems rather than a file you attached, so the question becomes which systems are connected and what each person is permitted to see. Answers are verified against the system of record before they are used.