How to automate MIS reporting from Tally, Excel, Google Sheets and your CRM

What an automated MIS report actually is

MIS reporting means giving managers the numbers they need to decide: sales, collections, costs, stock, staff performance. In most Indian SMEs someone builds it by hand every morning, exporting from Tally, copying from the CRM, pasting into Excel and mailing it out. Automation replaces the copy-paste with a pipeline that runs on its own and lands the same report at the same time every day.

Every automated MIS has four parts: extract data from each source, combine it in one store, calculate the metrics with fixed logic, and deliver the output to the right people. If any one is manual, the report will break the first week that person is on leave.

A sample MIS structure you can copy

Start with the one section the owner reads first. A good daily MIS fits on one screen or one email: today’s number, yesterday, the same day last week, month-to-date and target.

Step-by-step: how to automate it

1. List the decisions. For each metric, write who uses it and what they do when it moves. Drop any metric nobody acts on.
2. Fix the definitions. Agree on what ‘revenue’ means (with or without GST, net of returns) and which system is the source of truth. Write it down.
3. Automate extraction. Use APIs where they exist (Zoho, HubSpot, Shopify, Meta Ads). For Tally, schedule an export from TallyPrime or read it through its ODBC interface. For Excel files, have them saved to a fixed Google Drive or OneDrive folder.
4. Land everything in one store. A Google Sheet works up to a few lakh rows. Beyond that use BigQuery, Postgres or a Power BI dataset.
5. Calculate with code, not hand edits. Use formulas in a locked tab, SQL views or Power Query steps so the logic is the same every day.
6. Add checks. Stop the report if a source is missing or yesterday’s total is zero. A wrong report sent confidently is worse than a late one.
7. Deliver on a schedule. Email a summary at 9 AM, post a WhatsApp alert to managers, or refresh a dashboard. Send each person only their branch or team.
8. Run it in parallel for two weeks. Compare the automated numbers with the manual report daily, fix mismatches, then switch off the manual version.

Which tool should run the pipeline?

For a fuller comparison of the automation platforms, read n8n vs Make vs Zapier. For the dashboard side, see Looker Studio vs Power BI.

An example from practice

At Vetic, a multi-city pet-care chain, Silvane’s founder automated daily doctor performance reports and the incentive calculations and mailers that went with them. Data was pulled from the clinic systems overnight, metrics were calculated by fixed logic, and each doctor and city lead received their numbers by mail before the day started. The lesson that carries to any MIS: put the definitions in code, add a gate that blocks the send if the data is incomplete, and keep a log of what was sent to whom.

Take a hypothetical 12-outlet retail chain in Jaipur as an illustration. Its accountant spends about two hours each morning combining Tally sales and a stock sheet. An Apps Script job that reads a nightly Tally export, updates a summary tab and emails each outlet manager their line would remove most of that work, leaving the accountant to review exceptions.

Where MIS automation usually breaks

• Renamed columns. Someone adds a column in the source sheet and every formula shifts. Read columns by header name, not position.
• Expired logins. API tokens and Google authorisations expire. Send an alert to a named person when a pull fails.
• Duplicate rows. A rerun appends yesterday twice. Use a unique key (invoice number, date plus branch) and upsert instead of append.
• Time zones. Some APIs return dates in UTC, which shifts late-evening sales into the next day. Convert everything to IST in one place.

What does MIS automation cost?

A single daily MIS from two or three sources is usually a small project: one to three weeks of build. Costs rise with the number of sources, how messy the data is (Tally ledgers with inconsistent naming take time to map) and whether you need per-person reports or alerts. Running costs are mostly tool licences and someone to fix things when a source changes. For a broader view, see our guide on AI automation cost in India.

Checklist before you automate

• Each metric has one written definition and one source system.
• Source exports are scheduled, not triggered by a person.
• The report stops and alerts someone if a source is missing or looks wrong.
• There is a ‘data as of’ date on every report.
• Access is limited: each manager sees only their own branch or team.
• Credentials and scripts live in the company’s own Google, Microsoft or server accounts.
• Someone owns the report and knows how to rerun it.

How Silvane can help

Silvane automates MIS reports and dashboards as part of the AI analytics team, and connects Tally, CRMs and sheets through workflow automation. Starter builds are from ₹50,000 with an optional run plan from ₹15,000 a month, everything built in your own accounts, with 30 days of free fixes after launch. GST is extra. Start with the ₹199 discovery call (founding members, normally ₹15,000) and you get a one-page plan with a fixed price.

Sources: Google: Apps Script quotas · Microsoft Learn: Data refresh in Power BI · Microsoft: Power BI pricing (India)