Overzicht
Every tax workpaper, every ONESOURCE entry, and every research note a CB1 tax analyst produces starts with the same foundation:
knowing how to get data, structure it, use AI responsibly, and find the authoritative guidance that backs up your work. This course builds that foundation from the ground up.
Digital Tools & Data Management is the first long course in the Tax Analyst with AI Skills Professional Certificate. Across five short courses, you will build the everyday toolkit that carries forward into every later course in the program:
constructing Excel tax support schedules that reconcile cleanly and withstand reviewer scrutiny, using AI tools including ChatGPT to draft summaries and checklists within approved data-handling limits, writing structured prompts using the OJSFC framework to produce reliable AI outputs for routine tax tasks, conducting defensible tax research using the hierarchy of tax authorities with AI as a framing tool rather than a citable source, and extracting trial balance and account activity data from ERP systems using crosswalk templates to map accounts to tax return lines.
No prior tax, AI, or ERP experience is required. You need only basic spreadsheet familiarity — entering formulas and navigating multiple tabs — to get started.
By the end of this course, you will be equipped to handle the foundational data and tool workflows that support every compliance task in a CB1 tax analyst role.
Lesprogramma
- Why Tax Workpapers Break
The most dangerous tax workpaper errors aren't the ones Excel flags — they're the ones it doesn't. In this module, you'll explore how silent formula failures happen, why a number that looks right can still be wrong, and what's really at stake when a workpaper loses its connection to source data. You'll build the foundational vocabulary — trial balance, mapping, reconciliation, variance — that runs through everything that follows.
- Structuring a Reliable Tax Workbook
Before you write a single formula, the structure of your workbook determines how easy it will be to review, update, and trust. In this module, you'll learn how to organize a tax workbook so that every input has a home, every calculation is traceable, and the next person to open the file can follow your logic without asking questions. You'll also explore how cell protection keeps a well-built workbook from being damaged by accident.
- Building the Schedule with SUMIF and XLOOKUP
This is where your workbook starts doing real work. You'll use SUMIF and XLOOKUP to pull from trial balance data accurately, extend to SUMIFS when you need to filter by multiple criteria at once, and apply date functions to make sure your schedule always points to the right reporting period. By the end, you'll have formula logic that is not just correct — it's traceable, testable, and built to hold up under scrutiny.
- Error Handling and Reconciliation
A control check that quietly returns zero is not a control check — it's a blind spot. In this module, you'll learn how to use IF logic to turn reconciliation results into clear, readable signals that tell reviewers exactly what needs attention. You'll build the kind of workpaper where problems surface immediately instead of hiding inside a cell that looks fine.
- Best Practices, Rounding, and AI Assistance
Getting the formulas right is only part of the job. In this final module, you'll learn what it takes to hand off a workpaper that someone else can open, follow, and trust — covering consistent rounding, clean structure, and the documentation habits that hold up under review. You'll also explore how AI tools can support your workflow and where human judgment still has to lead.
- AI's Role in Tax Drafting
AI can make you faster — but only if you stay in control. In this module, you'll learn what AI is actually appropriate for in tax analyst work, where the real risks live, and what information must never leave your organization through a public AI tool. You'll walk away with a clear framework for using AI responsibly before you draft a single word.
- Writing Strong Prompts for Tax Tasks
Most AI output problems start before the AI writes anything — they start with a weak prompt. In this module, you'll learn how to build prompts that give you drafts that are more useful, easier to verify, and closer to what you actually need. You'll practice rewriting vague prompts into precise, task-ready instructions that hold up in a professional tax context.
- Drafting Summaries, Emails, and Checklists with AI
The same AI tool can support summarizing a filing instruction, drafting a status update, or converting reviewer notes into a traceable checklist — but each task requires a different approach. In this module, you'll practice all three drafting patterns using realistic tax scenarios, and you'll learn the key safeguard for each: what to check, and why polished output still needs a human eye.
- Verifying AI Output and Avoiding Common Mistakes
A polished AI draft can still be wrong — and in tax work, that's the real risk. In this module, you'll build a verification habit that protects you from accepting output that sounds professional but contains unsupported citations, incorrect dates, or hallucinated numbers. You'll use a practical checklist and mistake log you can carry into your own workflow.
Gegeven door
Samuel Oduro
Vakgebieden
Business
