Insurance
See Risk and Claims Before They Cost You
Allston Yale builds insurance analytics for mid-market carriers, MGAs, and agencies in Texas and across the USA. We help lean IT and analytics teams turn data trapped in policy, claims, and billing systems into a clear view of risk, cost, and performance.
01
The Numbers Arrive Too Late to Act On
In insurance the figures that matter, loss ratios, leakage, fraud, retention, tend to surface after the quarter closes, when it is too late to change them. Your data holds the early signals; it is just scattered. We connect it so the warning comes in time to act.
02
What Insurance Analytics Covers
Insurance analytics runs across the book. It tracks claims frequency, severity, and leakage; underwriting quality and loss ratios; actuarial reserving and pricing; and the retention and distribution numbers that decide whether the book grows or shrinks.
Most teams start with one sore spot. Often that is claims analytics nobody can slice quickly or a loss ratio that only becomes clear at quarter-end, and we build out from the number your leadership already watches.
03
Built for Lean Insurance IT Teams
A mid-market insurer rarely has a large analytics group, yet it faces the same regulators and rating pressures as the national carriers. We build insurance data analytics a small team can maintain, so statutory and management reporting do not depend on one analyst’s workbook.
04
From Policy and Claims Systems to Dashboards People Trust
Your data lives in policy and claims systems like Guidewire, Duck Creek, or Sapiens, in billing and rating engines, and in the spreadsheets between them. We bring it together, reconcile it, and turn it into dashboards underwriting and claims can read at a glance.
The point is one trusted view. When underwriting, claims, and finance look at numbers that agree, the conversation moves to the action rather than to whose extract is right.
05
Spotting Risk and Fraud Before They Cost You
This is where the data earns back its keep. Predictive analytics in insurance reads the patterns in your claims and policies to flag likely fraud, claims that will run hot, or customers about to lapse, so you intervene early instead of paying for it later.
06
Built on Power BI and Microsoft Fabric
We build insurance analytics on Microsoft Power BI for the dashboards and Microsoft Fabric for the data platform underneath. For the reporting craft see our Power BI consultant page, and for the platform see our Microsoft Fabric consulting page.
Most insurers start with Power BI done well on the reports that hurt most, then grow into Fabric as data volume and the appetite for predictive work increase. We help you separate a genuine platform need from an upgrade that can wait.
07
Security and Governance Built In
Policyholder data carries real obligations. We design with governance from the start, restricting sensitive information through row-level security, controlling who sees what, and documenting how data flows so a regulator or auditor sees a controlled picture rather than a black box.
What working with Us Looks like
Many insurance analytics companies hand over a dashboard and move on. We learn how your book makes and loses money first, build to that, and document everything so your team stays in control long after the engagement ends.
32%
INCREASE IN DECISION SPEED
27%
REDUCTION IN OPERATIONAL COSTS
2.4x
INCREASE DATA UTILIZATION
96%
DATA ACCURACY IMPROVEMENT
Data-Driven Demand Forecasting with Analytics Data Platform
Analytics Data Platform Facilitating a Greener Future
Common Questions
Can you connect to our policy and claims systems?
Yes. We regularly pull from policy administration and claims systems, billing, and rating engines, through their databases, extracts, or interfaces, and combine that with the spreadsheets in between. We do not replace those systems; we make their data usable in one place.
Can analytics help with fraud and retention?
It can. The same data that drives your reporting can power models that flag suspicious claims and policies likely to lapse, so your teams act on a ranked list instead of a hunch. We start simple and add sophistication as the foundation proves out.
How do you handle data security?
Security shapes the design, not the afterthought. Access is governed down to the row, sensitive policyholder data is limited to those who need it, and data flows are documented so examiners and auditors see a clear, controlled picture.
How long until we see something useful?
A first dashboard on a priority area, claims, loss ratio, or retention, usually lands in weeks. We get one trustworthy view in front of your team early rather than waiting to model the whole book, then build out from there.
Talk to Us About Your Book
If your team is assembling loss ratios by hand or finding out about leakage too late, a short conversation will show what is possible. Book a time and we will walk through your data and where the fastest win is.
