Data & Analytics

Retention and collateral levels are usually set once, when a program is first structured, and rarely revisited. Years later, those numbers may no longer reflect an organization's actual loss experience or exposure, until a bad year or a gap analysis forces the question.

Retention and collateral levels set at a program's inception rarely get re-tested, so as loss experience and exposure change, those levels quietly drift out of alignment with actual risk.

Ongoing loss forecasting and periodic gap analysis keep retention and collateral levels tied to current loss experience, rather than to assumptions made when the program was first structured, years before conditions on the ground changed.

Retention levels are rarely wrong on day one, when a program is first designed. They're wrong three years later, after nobody revisited them against changing risk.

Organizations carry retention and collateral levels that reflect their current risk profile, reducing the chance of an unpleasant surprise at the next renewal or loss event.

Catastrophe modeling and total-cost-of-risk analysis often get produced once a year, right before a renewal conversation. By the time that conversation starts, the numbers behind it may already be months out of date, even before the first meeting begins.

When catastrophe modeling and total-cost-of-risk analysis are produced only at renewal, an organization enters every market conversation — traditional placement, captive feasibility, alternative risk transfer — with a stale risk profile instead of a current, defensible one.

An ongoing analytics discipline, not a renewal-cycle report, gives organizations a current risk profile they can bring to any market conversation, whether that's a traditional carrier renewal, a captive feasibility study or an alternative risk transfer conversation.

The clients who get the best market termshave accurate and up-to-date data when the conversation starts.

Organizations enter renewal and financing conversations with a current, benchmarked risk profile, rather than rebuilding their case from scratch every time a new market conversation begins.

Most organizations don't lack data. They have claims records, safety logs and financial reserves — just never in one place and rarely connected to the decisions those numbers should inform, from retention levels to program design to captive contributions.

Claims data, safety incident logs and financial reserve information typically live in separate systems, so even organizations with plenty of data lack one coordinated view connecting loss performance to the financing and program decisions that data should inform.

A single risk management information system (RMIS) platform, paired with a recurring benchmarking cadence, brings claims, safety and financial data into one place and ties it directly to specific decisions — retention levels, program design, captive contributions — rather than leaving analytics as a standalone reporting exercise.

Most organizations don't have a data problem; they have data scattered across systems, with no one assigned to reconcile it.

Risk and finance leaders gain one coordinated view of loss performance that is directly tied to financing and program decisions, instead of five disconnected reports that each tell part of the story.