Validate Your Data Without Compromising Your Security

Personal Tax — Spreadsheet & CSV Hygiene

Start with clean data, finish with fewer surprises. Whether you’re tidying your own records or preparing hundreds of client returns, DataCheckr AI for Excel helps you find and fix the spreadsheet/CSV issues that derail tax work — before they enter your process.

Problem statement

  • For individuals: Banks, cards, marketplaces and brokers all export data differently. Dates arrive in mixed formats, numbers come through as text, duplicates appear after re-downloads, and lookups break. You spend hours nudging columns into shape, then still worry something’s wrong.
  • For accountants: Client PBC spreadsheets turn up in every layout imaginable. Before you can even categorise or reconcile, you’re dealing with missing required fields, type/format inconsistencies, silent duplicates and formula errors. The result is back-and-forth requests, blown prep time, and review notes that should never have existed.

The common thread: spreadsheet hygiene takes longer than it should. When bad data reaches your tax software or workpapers, the fix is slower, costlier and riskier than catching it at the door.

Data River: Collection → Check & Correct (in Excel) → Export to accountant → Final Validation
The Data River: A Continuous Flow
Why use DataCheckr AI
  • Individuals: Confidently share a clean file. DataCheckr highlights what matters (missing cells, wrong types, duplicates, broken formulas) and guides quick fixes in Excel. No new app to learn.
  • Accountants: Standardise intake across the firm. The same preset runs on every client spreadsheet, so hygiene checks are consistent and repeatable — before categorisation, before schedules, before review.
  • Operational pay-off: Less rework, fewer re-requests, faster first-pass readiness — and a steadier prep/review cadence.
  • Privacy & control: All checks and fixes happen locally in Excel. No “findings report” exports; no forced CSV round-trips.
What DataCheckr catches
  • Missing data — required columns/cells (dates, amounts, categories) not filled.
  • Duplications — repeated transactions/rows/IDs after merges or re-downloads.
  • Type mismatch — numbers and dates stored as text; percentages mis-typed.
  • Format mismatch — inconsistent date/amount masks; mixed delimiters; locale issues.
  • Outliers — negative/impossible values; unusually large items flagged by rule.
  • XLS errors — #N/A, #VALUE!, #REF! and similar formula errors in any audited range.

These align with DataCheckr’s core check set: Missing data, Duplications, Type mismatch, Format mismatch, Outliers, Invalid data types, XLS errors.

How it fits (workflow & timing)
  • Individuals: Export from your bank/marketplace/broker → open in Excel → run DataCheckr AI for Excel → fix flags → share with your accountant or import to your chosen tax tool.
  • Accountants: On receipt of any client spreadsheet → open in Excel → run the preset before categorisation/schedules → fix internally or request only the specific items you still need → proceed to prep and review with fewer interruptions.

Result: the “data river” flows one way — collect → check & correct → hand-off → final validation — instead of looping back through avoidable rework.

How it works in practice
  • Open the file in Excel and run the preset.
  • DataCheckr flags issues inline and takes you to the exact cells.
  • Make corrections directly in the sheet; re-run until critical flags clear.
  • Everything stays in Excel — no separate findings export, no filtered-CSV output.

This “fix-where-you-work” approach keeps context, reduces copy/paste errors, and supports DataCheckr’s reinforcement learning over time.

Impact

  • 10–30 minutes saved per file on intake clean-up (individuals and firms).
  • 30–50% fewer re-requests to clients once checks are run at the door.
  • Higher first-pass readiness for prep, review and import; steadier workloads.

Getting started

For individuals

  1. Download your bank/marketplace/broker CSVs and any tracking spreadsheets.
  2. Open in Excel and run DataCheckr AI, Tax – Spreadsheet Hygiene.
  3. Fix flagged items (types, formats, duplicates, missing cells); re-run.
  4. Share the cleaned workbook with your accountant or import to your tax software.

For accounting firms

  1. Adopt the preset firm-wide and define required columns and formats per schedule.
  2. Run at intake on every client spreadsheet before categorisation or mapping.
  3. Resolve what you can in-house; send a precise list only for remaining client actions.
  4. Track time saved and re-requests to build your internal ROI case.