The best insurance BI software in 2026
The best insurance BI software for most brokers, MGAs and small insurance teams is a tool that reads the spreadsheets and bordereaux they already produce. DataHub Pro does that with a free plan (no card), then $19.99 per seat a month. Power BI and Tableau suit insurers with a data team and a warehouse, and Looker Studio is free for simple dashboards.
Try it on your own file → · Updated 10 October 2026
Insurance BI software turns policy, premium and claims data into dashboards for loss ratio, combined ratio and retention. Most insurance teams — brokers, MGAs, and the finance and claims teams inside insurers — keep that data in spreadsheets and rarely get a dedicated analyst. Here are the BI tools for insurance that fit, and which are more than you need.
What insurance teams need from BI
Track loss ratio, premiums, claims and retention fast, from the spreadsheets you already keep.
Insurance teams need to turn the numbers they already track — loss ratio, premiums, claims and retention — into clear dashboards and reports, fast and without hiring a data engineer. Most of that data already lives in spreadsheets and exports.
That makes a spreadsheet-native BI tool the natural fit: it reads your insurance files directly and returns dashboards, trends and forecasts, with no warehouse to build. DataHub Pro does this with a free tier and $19.99/seat for full access.
Enterprise platforms like Power BI and Tableau are powerful but expect a data model and a specialist — usually more than an insurance team needs for day-to-day reporting. Start light, and graduate only when scale demands it.
Insurance KPIs your BI software should calculate
The six numbers almost every insurance dashboard is built around.
| KPI | How to calculate it | What to watch |
|---|---|---|
| Loss ratio | Incurred claims ÷ earned premium | A rising trend on one line of business or binder |
| Expense ratio | Underwriting expenses ÷ earned premium (some markets use written premium) | Acquisition costs creeping up |
| Combined ratio | Loss ratio + expense ratio | Above 100% means an underwriting loss |
| Claims frequency | Number of claims ÷ policies (or exposure units) | Spikes by region, product or broker |
| Average claim severity | Incurred claims ÷ number of claims | Repair, medical or legal cost inflation |
| Retention rate | Policies renewed ÷ policies due for renewal | Drops after a price change |
The arithmetic is simple. The work is keeping earned and written premium, and paid and incurred claims, apart and consistent from one month to the next. Write those definitions down before you build the dashboard, so the loss ratio in this month’s board pack means the same thing as last month’s.
The tools compared
Fit for an insurance team (verify current pricing with each vendor).
| Tool | Entry price | Best for | Setup |
|---|---|---|---|
| DataHub Pro | Free, then $19.99/seat | Insurance dashboards from spreadsheets | Upload a file |
| Looker Studio | Free | Channel/Google dashboards | Connectors + modelling |
| Microsoft Power BI | ~$14/user/mo | Larger, analyst-backed teams | Data model needed |
| Tableau | ~$75/user/mo | Heavy visual analysis | Modelling + training |
| Zoho Analytics | ~$24/mo | Zoho-ecosystem teams | Connectors + setup |
Where to run it
Pick by setup and budget.
Power BI / Tableau
- Powerful & governed
- Needs a model + engineer
- Weeks to first board
- Overkill for insurance
DataHub Pro
- Reads your Excel/CSV directly
- Auditable, deterministic results
- Dashboards, forecasts, reports
- Free tier, then $19.99/seat
Looker Studio
- No licence cost
- Best on Google data
- Connectors + modelling
- You build every report
Bordereaux, policy-system exports and spreadsheets
Where insurance data actually comes from, and what that means for the tool.
For MGAs and brokers the data usually arrives as monthly premium and claims bordereaux in Excel. A spreadsheet-native tool reads each month’s file as it arrives. In DataHub Pro you upload the premium and claims bordereaux, join them on policy number with Pipelines, and the dashboard breaks loss ratio down by any column in the file — line of business, month, binder or broker. Schedule the report and the same view goes to your capacity provider or board every month.
If you run a policy-administration system feeding a data warehouse, Power BI or Tableau on top of the warehouse is the standard choice, and the analytics bundled with core insurance platforms go further still. The spreadsheet route is for the teams in between: too much data for hand-built Excel charts, not enough to justify a warehouse.
Policyholder data. Policy and claims files are personal data under UK GDPR, and claims notes can include health information. Before uploading, remove names and contact details the analysis doesn’t need — a policy number is enough to join files. DataHub Pro Enterprise adds a signed DPA, an audit log and a named contact.
Related sector guide: BI tools for HR. On a tight budget? See affordable BI software for small business.
Frequently asked questions
What's the best BI tool for insurance teams?
For most insurance teams, a spreadsheet-native tool like DataHub Pro — it turns the insurance spreadsheets you already keep into dashboards tracking loss ratio, premiums, claims and retention, free to start and $19.99/seat for full access, with no data engineer.
Do insurance teams need BI software?
Spreadsheets hold the insurance data; BI software turns it into dashboards and a narrative your team and leadership can act on. A spreadsheet-native tool bridges both without a migration.
Is Power BI good for insurance teams?
Power BI is capable but expects data modelling and ideally an analyst. For an insurance team that lives in Excel and wants dashboards fast, a spreadsheet-native tool is lighter and quicker to value.
Can these tools track loss ratio, premiums, claims and retention?
Yes — you point the tool at your existing insurance exports and it builds the relevant KPIs, trends and breakdowns. DataHub Pro also forecasts and generates Word/PowerPoint reports.
How much should a team pay for BI?
Below enterprise scale, $15–25/month covers most needs. Per-seat enterprise BI is rarely justified for a single team's reporting.
How fast can an insurance team get a dashboard?
About two minutes from uploading a spreadsheet with a spreadsheet-native tool — quick enough to prep for a meeting the same morning.
What is insurance BI software?
Insurance BI software turns policy, premium and claims data into dashboards and reports, so underwriting, claims and finance teams can track loss ratio, combined ratio, claims frequency and retention without rebuilding spreadsheets by hand each month.
How do I calculate loss ratio and combined ratio?
Loss ratio is incurred claims divided by earned premium. Combined ratio is the loss ratio plus the expense ratio, which is underwriting expenses divided by earned premium. A combined ratio above 100% means claims and expenses are greater than the premium earned.
Can BI software read bordereaux in Excel?
Yes, if it is spreadsheet-native. DataHub Pro reads premium and claims bordereaux as uploaded Excel or CSV files, joins them on a shared column such as policy number, and builds the dashboard and a scheduled report from them.
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