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Analytical Insights
Better data = better analytical insights + better business value for insurers
Because clean, comprehensive data drives better business practices, accurate analytical insights are a priority within EIS OneSuite™ powered by CoreGentic™. From product development, risk assessment, underwriting, pricing, marketing, and claims analysis, better data will always give you more profitable outcomes.
Unfortunately, legacy core systems aren’t purpose-built for this, or to handle the explosion of data happening with the advent of AI.
The risk of slowly-processed data
Thankfully, better data architecture, like that in EIS OneSuite, lets insurers report holistically on things like claims trends, quarterly sales, enrollment rates, workflow efficiencies, or other KPIs.
EIS delivers advanced analytics for ambitious insurers
How EIS Empowers Carriers With Better Analytics
Real-time processing — which outpaces competing platforms and improves on our built-in analytics package — gives carriers up-to-the-minute data in high-stakes situations.
Predictive analytics powered by generative AI enable business users to harness advanced demand forecasting, risk assessment, and market analysis: This can help insurers personalize marketing campaigns, price products competitively, improve policy underwriting, and mitigate issues like claims leakage.
Tools including self-service and real-time data dashboards, and ad hoc reporting ensure you always have the right data at your fingertips to analyze the routine, the unexpected, and everything in between.
Robust, customizable data visualizations — viewable in EIS or external tools like Tableau or PowerBI — give maximum impact to the most relevant metrics.
Ready for Game-Changing Data Analytics?
Talk to an EIS representative today to discover more about what our advanced data and analytics platform enhancement can do for your business success.
Q: How does EIS ensure the accuracy of its analytical insights?
A: EIS keeps insights accurate by using real-time processing, governed data access, and traceable operational activity across the core.
- Real-time processing reduces “batch lag” and outdated BI results.
- Seamless integration + open APIs pull consistent data from internal and external sources.
- Business Activity Monitoring (BAM) tracks who changed what, when, and why—supporting auditability.
- Security controls (access control, encryption, monitoring) protect data integrity.
Q: What types of data can EIS analyze for carriers?
A: EIS can analyze operational and ecosystem data across policy, billing, claims, and customer operations—plus third-party sources—so carriers see the full picture.
- Core operational data (policy, billing, claims, quoting, customer timelines and events).
- Internal enterprise systems and external apps/partner platforms via APIs.
- Third-party data sources used for enrichment (when configured), including claims/fraud data sources.
Q: Can EIS analytical insights help improve underwriting processes?
A: Yes—EIS uses analytics (including predictive analytics) to support better risk assessment, pricing decisions, and underwriting actions.
- Predictive analytics supports demand forecasting and risk assessment tied to underwriting and pricing.
- Real-time dashboards and ad hoc reporting help underwriters act with current data, not yesterday’s snapshot.
- Operational data logging + report templates help teams track underwriting-related KPIs consistently.
Q: What makes EIS insights different from competitors?
A: EIS insights stand out because they’re powered by real-time processing and open, API-driven access to data across the ecosystem—not constrained by batch-only, siloed cores.
- Real-time processing “outpaces competing platforms” for up-to-the-minute decisions.
- Open API framework makes it easier to unify internal + external data into one insight pool.
- Built-in auditability supports traceability and compliance-grade insight workflows.
- Governed AI execution (grounding, provenance, human oversight, auditability) is core to the platform approach.
Q: How can I utilize EIS analytical insights for strategic planning?
A: Use EIS dashboards, reporting, and predictive analytics to spot trends, forecast outcomes, and track KPIs that drive product, distribution, and operations strategy.
- Self-service real-time dashboards put key KPIs in front of leaders without waiting on batch reports.
- Ad hoc reporting supports fast “what changed?” analysis when performance shifts.
- Predictive analytics supports market analysis and demand forecasting for planning cycles.
- Export or visualize in BI tools (Tableau/Power BI) to align analytics with enterprise planning workflows.
Q: Is training available for carriers to make the most of EIS analytical tools?
A: Yes—EIS University provides role-based learning with hands-on practice, plus courses aligned to domains like PolicyCore, CustomerCore, BillingCore, and more.
- Role-based learner profiles (e.g., developer, business analyst, QA, architect).
- Support via requests/tickets for access, learning paths, and active enrollments.
Q: How frequently does EIS update its analytical insights?
A: EIS updates insights in real time as new operational data and events flow through the platform, instead of relying on scheduled batch refreshes.
- Real-time processing delivers “up-to-the-minute data” for high-stakes use cases.
- Dashboards and reporting can be generated continuously or on demand.
Q: Can EIS insights help in regulatory compliance for carriers?
A: Yes—EIS supports compliance with traceable activity history, location-aware data handling, and reporting designed for audits.
- Business activity monitoring provides a 360-degree audit trail of entity changes for accountability and compliance.
- Configurable data handling can adapt storage/processing/transmission based on policyholder location and regional guidelines.
- Reporting supports internal and external audits with ongoing compliance monitoring.
- Security practices (access control, encryption, audits) help meet data protection expectations.