Short answer: Yes. Upload an Excel or Google Sheets file and Claude analyses trends, identifies outliers, produces summary statistics, and writes the narrative commentary you’d normally spend an afternoon on. Best for sales reports, financial data, survey results, operational metrics — anything that needs "so what?" interpretation, not just pivot tables.
This is the workflow that saves accountants and analysts entire afternoons per month. Claude doesn’t replace your spreadsheet skills — it turns your data into the narrative you’d normally write yourself. The difference between a spreadsheet full of numbers and a report anyone can act on.
What Claude does well
- Descriptive analysis. Averages, trends, YoY comparisons, outliers, correlations — all handled natively.
- Narrative commentary. "Turn these numbers into 300 words of executive commentary" — this is where Claude earns its keep.
- Sense-checking. Spots likely errors (a £250,000 revenue in a row of £2,500 rows), duplicate entries, inconsistent formatting.
- Cross-referencing multiple sheets. "Compare this month’s sales sheet to last month’s and identify what changed."
- Format transformation. Wide-to-long tables, CSV to markdown, spreadsheet to structured JSON.
- Question-answering. "Which customers grew fastest?", "What’s the pattern in churn?", "Where’s the biggest cost line?"
Five UK business analysis prompts
1. Monthly management accounts commentary
Management accounts commentary
Attached is our management accounts spreadsheet for [MONTH YEAR]. Please:
1. Write 400 words of professional commentary suitable for our monthly management report
2. Cover: overall performance, revenue drivers, cost commentary, cash position, key ratios and what they mean
3. Highlight three specific things the business owner should think about this month
4. Compare to budget and prior period where the data is present
Tone: professional, direct, UK accountancy voice. Numbers in £ with commas.2. Sales pipeline analysis
Sales pipeline analysis
Attached is our current sales pipeline in Excel. Please:
1. Summarise pipeline health: total value, weighted value, conversion rate by stage, average deal size
2. Identify the 3-5 highest-priority deals we should focus on this week (based on value, stage, and time-in-stage)
3. Flag any deals that have been in the same stage over 4 weeks — probable red flags
4. Draft a 3-line summary I can send to the team for our Monday call
British English. £ with commas.3. Customer feedback / survey analysis
Survey analysis
Attached is our Q3 2026 customer survey (Google Sheets export). For each of the free-text response columns, please:
1. Identify the top 5 themes with rough frequency
2. Extract the 3 most useful individual verbatims worth quoting
3. Highlight anything unexpected or contrary to what we'd assume
4. Suggest 3 specific product/service changes the responses point to
For the numeric columns (NPS, satisfaction ratings), give me averages, distributions, and any correlations with the segment column.4. Property portfolio yield analysis
Portfolio yield analysis
Attached is our rental property portfolio (30 properties across the UK). Please:
1. Calculate gross and net yield per property
2. Identify the top 5 and bottom 5 performers by net yield
3. Flag properties where net yield is below 4% — candidates for divestment or rent review
4. Identify any regional patterns (yields by area, if area column present)
5. Recommend the three highest-priority actions this quarter
UK format: £ currency, dates DD/MM/YYYY.5. Marketing campaign performance
Marketing performance
Attached is our campaign performance data for the last 90 days (Google Ads + Meta + LinkedIn). Please:
1. Summarise performance by channel: spend, clicks, leads, cost per lead, ROI
2. Identify which channel is performing best and worst against benchmarks (UK B2B typically £15-40 cost per lead)
3. Highlight the top 3 individual campaigns worth doubling down on
4. Flag anything that looks statistically like waste — high spend, low output
5. Suggest three specific reallocations for next month's £X budget
British English. £ currency.What Claude doesn’t do (and when to reach for something else)
| Need | Better tool |
|---|---|
| Millions of rows of data | Database + SQL (feed Claude the query results) |
| Statistical modelling (regression, ML) | R or Python (Claude can help you write the code) |
| Real-time dashboard visualisation | Looker, Tableau, Power BI, Metabase |
| Building a live spreadsheet-based tool | Excel + Claude for the formulas (see our related post) |
| Financial modelling for M&A / VC | Traditional Excel modelling + Claude for QA |
The sense-check workflow (worth its weight in gold)
Before you send any spreadsheet-based number to a board, a client, or HMRC, run this:
Sense-check before sending
Attached is [DESCRIBE SPREADSHEET]. Before I send this out, please sense-check for:
1. Likely typos (numbers that look 10x or 100x larger/smaller than surrounding rows)
2. Missing data patterns (blank cells that should have values)
3. Duplicate entries
4. Formula errors or #REF! results
5. Any totals that don't reconcile with the sum of their components
6. Dates that look wrong (dd/mm vs mm/dd confusion, dates outside the expected range)
7. Anything else that looks unusual and worth checking
Give me a numbered list of concerns, with cell references where possible.Catches errors that would embarrass you in front of a board. Takes 30 seconds.
Data confidentiality
Standard rules apply:
- On paid Claude Cowork plans, Anthropic doesn’t train on your data (contractual)
- Redact identifying personal data before uploading — names, addresses, account numbers, NINOs
- For truly sensitive financial data (M&A live, insider information, private client trust data), check your firm’s policy or consider a keep-local approach with a specialist tool
Time savings
Realistic wins UK teams report after 30-60 days:
- Monthly management accounts commentary: 90 min → 15 min per client
- Sales pipeline reviews: 45 min → 10 min per week
- Customer survey analysis: 3-4 hours → 30 min per survey wave
- Portfolio yield reviews: 2 hours → 20 min per quarter
- Marketing campaign reports: 90 min → 20 min per month
Getting started (10 minutes)
- Pick one recent spreadsheet you analysed manually last week
- Upload it to Claude
- Ask for the specific analysis you’d normally produce
- Compare Claude’s output to what you would’ve written — note the differences
- Refine your prompt and save it for repeat use
Combine with our Can Claude Write Excel Formulas? post for the full spreadsheet workflow. Or take the free 2-min AI Readiness Quiz.