Analytics, but you just ask
Ask a question in plain words. Datatopple reads your spreadsheets, Tally exports and databases, answers with a chart, and shows exactly which rows it used.
Which product sold the most in Salem last month?
Cotton bedsheets, by a long way.
That is 31% more than September. Two retailers account for most of the jump.
Tap one and it loads into the box above.
Your call.
Which product sold the most in Salem last month?
Cotton bedsheets, by a long way.
Sales_Oct.xlsx, rows 2-4,812No black box. Each step below is visible in the answer itself, so anyone reading it can follow the same path and land on the same number.
Type the question the way you would say it to a colleague. Branch names, product names and "last month" all work.
"Which product sold the most in Salem last month?"
Datatopple matches your words to sheets and columns: "Salem" to branch, "sold" to net_amount, "last month" to 1-31 Oct.
Invoices · branch · net_amount · invoice_date
A real query, run read-only against your data. Cancelled invoices are excluded because your status column says so.
SUM(net_amount) WHERE branch = 'Salem'
Before answering it checks whether your data covers the full range. If the month stops on the 20th, the answer says so.
Rows found for 31 of 31 days
A sentence, a chart and the one number that matters, with the file, sheet, rows and query one click away.
Cotton bedsheets, ₹4.2L, +31% vs September
Datatopple is built for the moment someone in the meeting asks where a figure came from. The answer is always one click away.
How every answer is checkedHow do I know this is right?
Every answer shows the source file, the rows and the calculation.
Sales_Oct.xlsx › Invoices › rows 2-4,812
If your data doesn't cover the question, I say so instead of guessing.
October data ends on the 20th. This total covers 20 of 31 days.
I only read your data. I never change it.
Connection role: SELECT only. Write grants refused.
Keep working in the files and systems you have. Datatopple reads them where they live, with read-only access, and refreshes on a schedule you choose.
See how each source connects40 answered questions across four libraries, each with the data source it needs. Start with the one that keeps you up on a Sunday.
Which regular customers stopped ordering?
9 accounts silent for 45+ days
Revenue, territory, retailer mix and the orders that quietly stopped coming.
Which SKUs haven't moved in 90 days?
38 SKUs, ₹12.6L held
Stock age, dead SKUs, reorder timing and the warehouse that never reconciles.
Which expense head grew faster than revenue?
Freight, +34% vs +11%
Receivables, margin by line, spend drift and where the working capital went.
How much overtime did we pay in Q2?
₹6.84L, mostly one shift
Overtime, attrition, shift cost and attendance that does not match the roster.
Every plan counts questions, not dashboards or rows. Pick the pace you ask at and change it whenever you like.
One sheet, one person, one real question a day.
Up to 100 questions a month
The plan most growing businesses settle on.
Up to 1,000 questions a month
For groups that run the whole week off these answers.
Unlimited questions
No dashboard to build, no analyst to brief, no 40-tab workbook to open first. Connect a source and your first answer lands in about two minutes.
Want to see it against your own workbook first? Contact us