Insurance Analytics Software Development

Portfolio dashboard connecting to the live policy and claims data to present the key metrics the underwriting and claims leadership uses to run the book: gross written premium, net earned premium, incurred claims, and loss ratio by product line, accident year, and distribution channel. Trend analysis showing the current period's metrics against the prior period and the plan, with the variance highlighted so management can see where performance is diverging from expectation without querying individual data tables. Drill-down from portfolio-level summary to product line, to distribution channel, to individual broker or scheme, and to the individual risk or claim that is driving an adverse movement. Real-time refresh so the metrics on the dashboard reflect the transactions processed today, not last night's batch extract -- relevant for businesses with high daily transaction volumes where a stale dashboard obscures intraday developments. Custom dashboard configuration allowing underwriting, claims, and finance teams to build their own views from the available data rather than requesting a new report from the analytics team for each question.

Policy data export producing the exposure data the actuarial team needs for pricing and reserving analysis: earned and unearned premium by accident year and development period, policy count and average premium by risk category and territory, and the exposure base data for each product line in the format the team's actuarial models require. Claims data pipeline producing the paid and incurred loss data by accident year, development period, and claim type -- the structured inputs for loss development analysis and IBNR calculation -- extracted from the live claims system rather than assembled from manual exports. Loss triangle generation producing the accident year by development year triangles for paid losses, incurred losses, and claim counts in the format the actuarial team's reserving tools expect, with each triangle automatically updated when a new data extract is run. Data reconciliation between the policy and claims systems verifying that the total earned premium in the actuarial export matches the finance system's earned premium figure and that the total incurred claims match the claims system's reserve position before the data is released to the actuarial team. Audit trail for each data extract recording the extraction date, the data range covered, the reconciliation status, and the identity of the analyst who approved the release.

Rate adequacy monitoring comparing the premium rate achieved on each bound risk against the technical rate from the rating model, showing the distribution of rate adequacy across the portfolio and identifying the product lines, territories, or distribution channels where rates are most frequently written below technical. New business and renewal analysis showing the volume and premium quality of new business written against renewals lost, with the attrition rate by product line and the premium differential between retained and lapsed business. Broker and scheme performance dashboard showing each distribution partner's premium volume, policy count, average premium, bind rate, and emerging loss ratio for the current and prior years, giving the distribution management team a data-driven basis for commission and binding authority reviews. Portfolio stress testing showing the impact on the loss ratio and combined ratio of specified shock scenarios -- a large catastrophe event, a change in claims frequency for a specific product line, or a change in the reinsurance programme's terms -- calculated from the current portfolio exposure data. Underwriting cycle analysis comparing the business's current rating and loss ratio position against industry benchmarks for each product line and territory.

Claims frequency and severity analysis showing the claim rate and average cost per claim by product line, accident year, cause of loss, and risk category -- the data that identifies whether emerging claims experience differs from the assumptions used in pricing. Reserve development analysis showing how the incurred loss estimate for each accident year has moved between successive reserving dates, with the movement attributed to changes in frequency, severity, and reporting patterns. Handler performance analytics measuring each claims handler's key performance indicators: claims closed per month, average settlement time, settlement cost relative to initial reserve, and litigation rate -- the metrics the claims director needs to manage handler performance and identify coaching opportunities. Large loss analysis showing the characteristics of claims above the reporting threshold -- the product line, the cause of loss, the risk characteristics, the time to notification, and the time to settlement -- to identify patterns that could inform underwriting appetite or policy terms. Claims cost inflation tracking showing the trend in average settlement cost by claim type and cause of loss against the inflationary assumptions in the current pricing model.

Lloyd's regulatory data production for syndicates writing at Lloyd's, covering the Delegated Data Manager submission format, the Crystal quarterly and annual reporting structure, and the Atlas capital reporting data, produced from the live policy and claims data without a manual extraction and formatting step. FCA regulatory return preparation producing the data for the Retail Mediation Activities Return, the Management Expenses and Operational Data Return, and other periodic regulatory submissions in the submission format required, with the data validated against the regulatory template before submission. Solvency II data production for the Standard Formula capital calculation, covering the premium and reserve risk modules, the SCR calculation inputs, and the ORSA data requirements, extracted from the policy and claims data in the structure required for the capital model. Cross-border reporting for carriers operating in multiple jurisdictions, with the regulatory reporting format and submission requirements configured for each jurisdiction's regulator and the data structured to meet each jurisdiction's requirements from the same underlying policy and claims data. Regulatory submission history recording every submission made, the data included, the submission date, and the regulator's acknowledgement, accessible for audit and for reference when preparing subsequent submissions.

Finance reconciliation connecting the analytics platform's premium and claims data to the finance system's ledger balances, with the reconciliation run automatically at each reporting period to confirm that the management information and the financial statements are derived from the same data. Ceded reinsurance reporting producing the bordereau data for the reinsurance programme -- the risk data, the premium, and the claims -- in the format required by each reinsurer or reinsurance broker, with the cession calculations applied automatically from the reinsurance structure configured in the system. Combined ratio reporting showing the gross written premium, the net earned premium, the net incurred claims, the commission and acquisition costs, and the management expenses in the format required for the management accounts and the regulatory financial returns. Budget versus actual reporting comparing the current period's premium, claims, and expense data against the underwriting plan for the period, with the variance shown at the product line and distribution channel level for management review. Investor and capacity provider reporting producing the performance reports required by Lloyd's managing agents, reinsurance partners, or private equity investors in the format each reporting relationship requires.