In short, what I recommend: if your data lives in the Google ecosystem (Sheets, Google Ads, GA4), use Data Studio (formerly Looker Studio, free); if the company works in Microsoft 365 and Excel, use Excel with Power Query, and Power BI for more complex models; if you need a simple weekly report in your inbox from the CRM, online store and accounting software, use Google Sheets + n8n or Make. Data from B1 or Rivile (popular Lithuanian accounting software) is usually pulled through an API or an automatic export.
In many companies the weekly report is still done by hand: an export from the CRM and accounting software, copying into Excel, a screenshot pasted into an email. If that takes hours every week and you would rather not connect the sources yourself, I can build that report for you: report automation service.
Below are nine tools often used in small and medium-sized companies, with October 2026 prices, a clear "who it suits / who it doesn't" and a recommendation by situation. Prices are the vendors' published base prices, excluding VAT; check the vendor's page before buying, as they change.
Short answer: which report automation tools should you choose?
- For a small business (up to ~20 people): Google Sheets + Data Studio (both free) + n8n or Make to collect the data. Total cost: €0–25/month.
- For a Microsoft 365 company: Excel with Power Query, Power Automate and, when you need to share dashboards, Power BI Pro.
- For a marketing team or agency: Data Studio with ad platform sources, or Databox if you need ready-made connectors without technical work.
- When you need a report in your inbox, not a dashboard: an automation workflow (n8n, Make or Zapier) that sends a summary by email or Slack on Monday morning.
9 report automation tools compared, with prices
| Tool | Purpose | Price (October 2026) | Best for |
|---|---|---|---|
| Google Sheets + Apps Script | Data store, calculations, simple automated emails | Free with a Google account | Everyone, as a starting point |
| Data Studio (formerly Looker Studio) | Visual dashboards shared by link | Free; Pro ~$9/user/project/month | Google ecosystem, marketing |
| Microsoft Power BI | Powerful data models and dashboards | Desktop free; Pro ~$14/user/month | Microsoft 365 companies, finance |
| Excel + Power Query | Importing and cleaning data inside Excel | Included in Microsoft 365 | Accounting, finance managers |
| Power Automate | Microsoft workflow automation, sending reports | Basic flows with M365; Premium ~$15/user/month | Microsoft 365 environment |
| Make | Collecting data from several systems on a schedule | Free plan; Core from ~$9/month | Small businesses, visual workflows |
| n8n | The same, plus complex logic and AI steps | Self-hosted €0 (+ server €5–15); Cloud from ~€20/month | Larger volumes, long-term cost |
| Databox | Ready-made connectors and KPI dashboards | Paid plans from ~$159/month | Marketing teams without a technical person |
| Coupler.io | Automatic data transfer to Sheets, Excel, Data Studio | From ~$24/month (billed annually) | When you only need to "connect the sources" |
Prices are approximate, collected from vendors and their pricing reviews in October 2026; many tools are cheaper billed annually. Zapier is not listed separately in the table: it suits the same tasks as Make but costs more at larger volumes (Professional from ~$20/month billed annually).
Each report automation tool in more detail
1. Google Sheets + Apps Script
Almost every automated report in a small business starts in a Google Sheets table. Apps Script lets you recalculate the sheet on a timer and send an email without any extra tool. The weak spot is data collection: Sheets does not pull data directly from a CRM or accounting software, so you need a connector or an automation workflow. More in Google Sheets automation.
2. Data Studio (formerly Looker Studio)
A free Google visualization tool. It connects natively to Google Sheets, Google Ads, GA4, Search Console and BigQuery; other sources (Meta Ads, Pipedrive, Shopify) need partner connectors, which are often paid. You share a report by link like a Google document, and the recipient does not need a license. You can also schedule automatic PDF delivery by email.
- 1Share
- 2Schedule delivery
- 3Repeat
- 4Schedule
With the report open, add recipients in the "Create schedule" window, choose the pages and start time, and set the frequency under "Repeat". Menu names per the Data Studio documentation, October 2026.
3. Microsoft Power BI
The strongest tool for complex data models: multiple tables, relationships, DAX calculations. Power BI Desktop is free, but sharing reports with colleagues requires a Pro license for every creator and viewer (in April 2025 it went up from $10 to $14 per month). For a small company without a data person, Power BI is often too complex to start with.
4. Excel + Power Query
If your finance reports live in Excel, Power Query lets you describe once where and how to import data from (CSV exports, other sheets, databases) and then refresh everything with one button. It is not full automation, but it often saves most of the time without new licenses.
5. Power Automate
Microsoft's workflow tool: on a schedule it takes a file from SharePoint or OneDrive, refreshes Excel and sends an email through Outlook or a message to a Teams channel. Standard connectors are included in Microsoft 365; premium connectors need a Premium license.
6. Make
A visual automation platform with thousands of connectors. Every Monday at 6:00 it can pull data from Pipedrive, Shopify and Google Ads, put it in Sheets and send a summary. It is billed by credits (operations), so it is very cheap at small volumes.
7. n8n
An open-source alternative to Make: self-hosted, it has no execution limit, so it ends up cheapest as volume grows. It is convenient for AI steps, for example having a model write a short "what changed this week" comment. Comparison: n8n or Make for a small business.
8. Databox
A platform of ready-made KPI dashboards with many connectors (Google Analytics, HubSpot, Facebook Ads and others). The upside is no technical work; the downside is the price and limited options when you need data from Lithuanian systems (B1, Rivile). Databox changed its plan structure in 2026, so check the current terms on its page.
9. Coupler.io
A specialized data transfer tool: on a schedule it pulls data from dozens of sources into Google Sheets, Excel, BigQuery or Data Studio. It fits when you already have visualization and only lack automatic data refresh.
How to choose a report automation tool for your situation
| Your situation | I recommend | Why |
|---|---|---|
| 1–3 reports, data in Sheets and the CRM | Sheets + Data Studio + Make | Lowest cost, quick start |
| Everything in Microsoft 365, reports in Excel | Excel + Power Query + Power Automate | No new tools or licenses needed |
| Complex finance models, several departments | Power BI | Data modeling and access rights |
| Marketing KPIs from 5+ ad sources | Data Studio + connectors, or Databox | Ready-made ad platform connectors |
| You need a report in your inbox, not a dashboard | An n8n or Make workflow | It delivers the result instead of waiting for you to open it |
| Large volume, long-term cost matters | Self-hosted n8n | No execution limit, data on your server |
Reports from B1, Rivile and other Lithuanian systems
Most foreign reporting tools have no ready-made connectors for Lithuanian accounting software. In practice there are two routes. The first is an API: for example, B1.lt has a public API (it requires an active integrations plan), so n8n or Make can pull invoice and payment data every night. The second is a regular export: if the program can automatically export CSV or Excel to an email or folder, the automation workflow picks up the file and puts it into the report table. Either way, the reporting tool (Data Studio or Power BI) reads an already cleaned-up table.
- 1Every night: API request or CSV exportB1.lt / Rivile
- 2The workflow picks up and cleans the datan8n / Make
- 3One report tableGoogle Sheets
- 4The dashboard refreshes itselfData Studio / Power BI
The reporting tool is never connected directly to the accounting software: it reads an already cleaned-up table.
Example: a weekly report with no manual work
A typical workflow for a small company (an illustrative example, not a specific client case):
- On Monday at 6:00, n8n pulls last week's deals from Pipedrive, orders from Shopify and payments from the accounting software.
- The data goes into a Google Sheets table: sales, average order value, unpaid invoices, comparison with the previous week.
- An AI step writes a 3–4 sentence comment: what changed and where it is worth taking a look.
- At 8:00 the manager gets an email or Slack message with the numbers and a link to the Data Studio dashboard.
- If any source does not respond, the workflow notifies the person responsible instead of sending an empty report.
Building a report like this costs from €450, and tool costs are usually up to €25/month. More on the report automation service and how reports are prepared automatically.
Most common mistakes when automating reports
- Starting with the tool, not the question. First write down the 5–7 metrics you make decisions by.
- Too many metrics. A dashboard with 40 charts helps nobody; one screen is enough for a weekly report.
- No single source of truth. If CRM and accounting totals do not match, agree which system counts as correct.
- Nobody notices when the report breaks. An automated workflow has to report errors, or the numbers quietly go stale.
- Buying licenses up front. Start with free tools and buy only when you hit a limit.
Frequently asked questions
Which business report automation tools do you recommend?
For small businesses I usually recommend Google Sheets as the data store, Data Studio for visualization (free) and n8n or Make for collecting data from the CRM, online store and accounting software. For companies working in Microsoft 365: Excel with Power Query and Power BI. If you need ready-made connectors without any technical work, Databox or Coupler.io are worth a look, but they cost more.
Is Data Studio (formerly Looker Studio) free?
Yes. In April 2026 Google gave Looker Studio back its old Data Studio name, and the tool itself remained free. The paid Data Studio Pro version (formerly Looker Studio Pro) costs about $9 per user per project per month as of October 2026 and adds team content management and support. The free version is enough for most small companies.
Which is better: Power BI or Data Studio (Looker Studio)?
Data Studio is the better fit when your data lives in the Google ecosystem (Sheets, Google Ads, GA4) and reports need to be shared by link without licenses. Power BI is stronger for complex data models and Microsoft 365 environments, but sharing reports requires a Pro license (about $14 per user per month) and more skills.
How do you automate reports without a BI system?
The simplest way is an automation workflow in n8n or Make: every Monday it pulls data from the CRM, accounting software and online store, calculates the metrics in a Google Sheets table and sends a summary by email or Slack. You can add an AI step to the workflow that writes a short comment on what changed.
How much does report automation cost?
If you do it yourself with free tools (Sheets, Data Studio), the only cost is your time. Tool subscriptions usually come to €0–50/month. If a specialist builds the report, Aigentas sets up a first automated report from 2–3 sources from €450, live in 1–2 weeks.