Custom insurance analytics software development
Appfront builds custom analytics software for insurers and underwriting agencies: claims cost by segment, portfolio development, justification of tariff changes, and the figures your actuarial team and management board need. For organisations that want to steer by what the portfolio is doing, rather than discovering a quarter later what has happened.
What is insurance analytics software?
Insurance analytics software brings together the figures scattered across your policy, claims and financial administration, and turns them into answers to the questions your management board asks: how is claims cost developing, in which segment is it running away, what did that tariff change deliver, and where is the growth?
It differs from running the processes themselves. The administration of policies and payouts runs through your policy administration; see policy administration software. Analytics reads that data and adds something the administration does not contain: comparison over time, breakdown by segment, and the ability to ask a question nobody anticipated in advance.
In practice, this work is often still done in spreadsheets maintained by one or two people. That works, until someone asks where a number came from or that person goes on holiday. See also our broader approach to building custom software.
Every figure traceable
Drill down from an aggregated number to the underlying policies and claims. Without that route, every analysis remains an assertion, and the discussion shifts from the conclusion to the numbers themselves.
Segments you define yourself
Product, distribution channel, region, age group, construction year, or a combination of these, without anyone needing to be involved to add a new breakdown.
Reproducible per reporting date
A report on the third quarter must produce the same outcome next year. We record the reporting date and the definitions used alongside the figure, not in the analyst's memory.
How we build your insurance analytics software
We start with the questions currently being answered in spreadsheets and the discussions that arise from them. Actuarial, claims, commercial and finance are at the table early, because they often define the same terms slightly differently.
We map which questions are asked on a recurring basis, where the data comes from, and which definitions are in circulation. That last point almost always reveals differences between departments that must be resolved first.
We design the data model, the definitions of key concepts such as claims cost and earned premium, the segment structure, and the way reporting dates are recorded. Your actuarial team reviews those definitions before anything is built.
We build in short iterations and test every output against your existing reports. We track down discrepancies before anything goes into use, because a dashboard that deviates from the monthly figures will not be trusted.
We go live with a limited set of reports and expand based on the questions that arise afterwards. Ongoing maintenance and adjustment follow whenever products, channels or definitions change.
What insurance analytics software concretely does
A general insurer with a broad retail book asks different questions than an underwriting agency with a specialist portfolio. These are the capabilities we deliver most often.
Claims cost by segment
Claims cost set against earned premium per product, channel and risk group, distinguishing between claim frequency and average claim size. That distinction tells you whether you have an underwriting problem or a pricing problem.
Portfolio development
Inflow, outflow and movements per period, with visible development by channel and by product. This shows you not only that the portfolio is shrinking, but also which group is leaving and after how many years.
Substantiating tariff changes
Modelling a proposed change against the existing portfolio before it takes effect, and measuring the actual effect afterwards. We keep both, so that the expectation and the outcome sit side by side.
Claims handling and processing time
Processing times, reopened claims, and the ratio between reserves and final payouts per claim type. This makes visible where money and time are leaking away in the process.
Channel and delegated authority performance
Performance by intermediary or delegated authority, using the same definitions for everyone. It connects with your insurance brokerage software on the other side of the line.
Anomaly detection
An alert when a segment deviates from its own pattern, rather than a fixed dashboard someone has to open. For what pattern recognition can do, see our page on AI automation for insurers.
Who we build insurance analytics software for
The need differs considerably with the size of the book and with whether you are the risk carrier yourself. These are the types of client we most often build for.
Non-life insurers
Companies with a broad book where claim frequency and average claim size vary widely by segment. For them, the combination of claims cost analysis and tariff substantiation carries the most weight, because the two directly influence each other.
Delegated authorities and managing general agents
Organisations that underwrite on behalf of one or more risk carriers and must account for each delegating party. They need separation per portfolio, plus one overall view for their own management.
Life and income insurers
Companies with long-term contracts, where the development of the portfolio matters over years. See also our insurance app and the wider software for the financial sector.
Mutual guarantee associations
Smaller organisations with a specific target group, where the portfolio is so homogeneous that a single deviating segment has an immediate impact. They mainly need early warning with limited resources.
Test your idea first: a working prototype in 1 day
With OneDayBuild, we turn your idea into something tangible in one day for €1,150, so you can see whether further development is worth the investment. Decide to go ahead with the full build? Then we credit the full cost.
Explore OneDayBuild →Technology and integrations
We build with a modern, maintainable stack and read from the systems that hold your policies, claims and accounts, without setting up a second administration alongside them.
If your concern is the monthly renewal run and the exceptions it throws up, see our renewal software for policy administration.
Why choose Appfront for your insurance analytics software?
Appfront builds custom software and starts with the questions you are currently answering in spreadsheets. In almost every project, we find that departments calculate the same terms differently, and until that is resolved, every meeting is about the numbers rather than the conclusions.
That is why we record definitions explicitly and tie them to versions. If you change the definition of claims cost or earned premium, that change is dated, and earlier reports remain reproducible exactly as they were delivered. That is what an auditor or regulator expects to see.
Every figure remains traceable to the underlying policies and claims. Without that route, an analysis becomes an assertion, and an assertion that no one can verify is sooner or later ignored. Drilling down is therefore not an extra feature but the starting point.
See also our broader services: custom software development and financial analytics software. Questions about your situation? Get in touch.
- Definitions explicitly documented and version-controlled
- Every figure traceable to policy and claim
- Reproducible reporting by reference date
- Add segments without involving a developer
- Distinction between frequency and average claim cost
- Expected and actual effect of a rate change side by side
- Separation by managing agent with a single overall view
- Results checked against your existing reports
- Clear documentation your own team can maintain
- Ongoing maintenance as products or definitions change
Security and privacy in insurance analytics
Analytics software brings together data that is kept separate in the source systems, and that is precisely why the risk here is higher than people assume. A claims file may contain health data, and a portfolio holds financial data on thousands of individuals. We therefore work with aggregated and pseudonymised data as far as possible, and only allow drilling down to an individual record where it is necessary.
We keep special category personal data out of the analytical model unless there is a demonstrable need, and in that case with separate authorisation and logging on every access. We record the legal basis and retention period for each data flow, in line with the GDPR.
Technically, we build to the OWASP security standards, with encryption in transit and at rest, role-based access and audit logging of changes to definitions. More on our approach: information security policy and vulnerability disclosure policy.
- Aggregated and pseudonymised wherever possible
- Drilling down to an individual record separately authorised
- Special category personal data kept out of the model unless necessary
- Logging of access to individual files
- Separation between managing agents' portfolios
- Encryption in transit (TLS 1.2+) and at rest
- Audit logging of changes to definitions
- Built to the OWASP standards
Frequently asked questions about insurance analytics software
Answers to the questions we are asked most often about custom analytics software for insurers.
It is software that brings together the figures from your policy, claims and financial administration and turns them into answers to management questions: how claims costs are developing, in which segment things are going wrong, what a rate change achieved and where growth is coming from. It does not run the process but reads from it, and adds comparison and segmentation.
The policy administration system runs the process: acceptance, premiums, changes and claims payouts. Analytics reads that data and adds what the administration system lacks: comparison over time, segmentation and the ability to ask a question nobody built in advance. The two connect to each other.
Because departments often calculate the same terms differently. What counts as earned premium, how do you treat a reopened claim, are declined claims included? As long as those choices are not explicitly documented, every meeting about the figures is about the numbers rather than the conclusion, and that is the most common reason reports are not trusted.
Largely, and that is usually the goal. The point is not that spreadsheets are wrong but that they sit with one or two people and no one can check how a figure was arrived at. We rebuild the same calculations, run them against your existing results and investigate every difference before we switch over.
Because it determines what you can do about it. If the loss ratio rises because more claims are being made, it is usually a question of underwriting or prevention. If it rises because each claim costs more, it is more a question of pricing or procurement. The total figure alone cannot tell those two apart.
Yes, by running the proposed change through your existing portfolio and against an expected intake profile. We keep that calculation, so the forecast and the actual outcome can later be compared side by side. That makes the next change better founded than if you only find out afterwards what happened.
Yes, and for that case, separation per binding authority is the key requirement: each risk carrier sees only its own portfolio and not that of another, while you keep a single overall view for your own steering. We build that into the authorisation model rather than into a filter that someone could bypass.
We build custom. The segmentation, the definitions and the questions that matter in your portfolio are exactly what set you apart, and they rarely fit into a standard reporting set. After an intake conversation, we decide together which questions to answer first and which sources to open up for them.
Ready to build your insurance analytics software?
Tell us which questions you cannot answer, or can only answer too late, about your portfolio and your loss ratio, and where the debate about the figures comes from. We are happy to help you think through definitions, segmentation and connecting your source systems. In a no-obligation first conversation, you will get a clear picture of what is possible.