Power BI for insurance carriers, agencies and MGAs
Power BI for insurance gives underwriting, claims and finance teams one shared view of premium, losses and retention. Policy and claims data join in a single model, so a loss ratio means the same thing on every page. Our consultants build that model inside your own Microsoft tenant. Access rules then decide which lines, regions or agents each person can see.
- Policy and claims joined
- Loss ratio by line
- Access rules per role
Last updated
What can Power BI for insurance tell you?
Insurance runs on two big streams of records. One stream covers policies, premium and renewals. The other covers claims, payments and reserves. They usually live in different systems, and so the question that joins them, how profitable is this book, is hard to answer quickly.
A joined model answers it in seconds. Earned premium sits beside incurred losses for the same period, line and region. Then an underwriter can see which segments carry the book and which ones drag on it. Because the measure has one definition, actuarial and finance stop debating the method in every meeting.
Speed matters in claims as well. When adjusters see open claims by age and handler, a backlog shows up while there is still time to act.
Dashboards for underwriting, claims and finance
Each page serves one team first, although the numbers all come from the same model.
Loss ratio by segment
Compare losses with earned premium across lines, states and years, so pricing reviews start from facts.
Claims aging
Open claims appear by age band, type and adjuster. Managers then move work before files go stale.
Policy retention
See how many policies renewed, lapsed or moved, because keeping a customer costs less than winning one.
Agent and broker production
Rank written premium, new business and renewals by producer, and also show the quality of that business.
Reserve movements
Follow how reserves change from month to month, so finance can explain each shift.
Quote to bind funnel
Track quotes, binds and declines by channel. Then sales leaders see where prospects drop out.
Which systems feed insurance dashboards in Power BI?
The core sources are the policy administration system and the claims system. Agencies usually add an agency management system, while carriers add the general ledger and sometimes a data warehouse. Many teams also hold rate tables and targets in Excel.
Older platforms are common in this sector. Some expose a SQL database, which Power BI reads well. Others only produce flat files overnight. We work with either, but the second route needs a staging step first. We say so in the quote, since it affects the effort.
Personal data deserves care too. Policyholder details should reach only the people who need them. Therefore we keep names and identifiers out of summary tables where possible, and we apply row-level rules to the rest. Carriers with many report authors also need rules on who publishes what, which power bi governance sets out.
When to bring in Power BI for insurance reporting
If these issues keep returning, the cause is usually the data model and not the people.
- Loss ratio differs between two departments
- Claims backlog reports arrive a week late
- Producer rankings rely on manual exports
- Renewal lists miss policies every month
- Month-end packs depend on one analyst
- Regulatory extracts take too long to check
How our Power BI for insurance work proceeds
The path is simple, and every stage ends with something you can review.
Assessment at no cost
In a half hour call we learn which lines you write and which reports cause pain. Then we give a straight answer on fit.
Scope you can sign
We list measures, sources and security rules in writing. As a result, the quote does not drift.
Model first, pages second
We build and test the measures before the visuals, because a pretty page with a wrong ratio helps nobody.
Review each week
Your team checks figures against known reports every week. Afterwards we hand over files and notes.
Insurance analytics with Power BI: common questions
Does Power BI for a small agency make sense?
Yes. An agency with one management system and a few carriers can start with a simple model. It might show production, retention and commissions only. Later you can add more as the need grows. We keep the first scope small on purpose, so the cost stays low and the value is clear early.
How does Power BI for insurance protect policyholder data?
We work inside your own Microsoft tenant through accounts you control and do not copy data to our own systems. Row-level security then restricts each user to their own region, line or book. Your administrators control who joins each workspace. However, compliance duties remain yours, so we suggest your security team reviews the design before go-live.
Can Power BI read data from our policy system?
Usually it can, though the method varies. If the system runs on a common database, Power BI connects through a gateway. When only exports exist, we load those files on a schedule instead. We confirm the route during the assessment and never promise a direct connector that Microsoft does not list.
Will actuaries accept the Power BI measures?
They should, because we define each measure with them. Earned premium, incurred loss and development all have exact rules, so we write those rules down first and test the results against their own figures. Once the numbers match, the actuarial team tends to become the model's strongest supporter.
Are you connected to Microsoft or to any insurer?
No. Power BI Agency is a division of Sataware Technologies and is independent of Microsoft. We also do not resell licenses or software. So the advice you get depends only on what suits your team. The work is remote and runs inside your own Microsoft tenant.
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