Dashboard
Claims performance dashboard
Volume, severity, leakage, cycle time, and reserves.
- Connected to policy admin, claims, distribution CRM, finance, and actuarial systems
- Thresholds and owners
- Drill to operational detail
Industry analytics
Loss ratio and claims cycle time from policy + claims systems
Carriers stall when policy admin, claims platforms, and actuarial triangles disagree on policy/claim grain and accident-year vs calendar-year views. Power BI models lock those definitions so loss ratio and reserve movements survive the underwriting review.
NDA-readyFixed-scope first releaseBusiness + IT handover
- Operating since 2012
- Microsoft Power BI specialists
- NDA-ready data handling
- Fixed-scope first releases
- Independent — not affiliated with Microsoft
Reporting challenges
Typical friction when CRM, ERP, and operational tools are reported separately.
- 01Policy premium and claims payments do not share consistent product, region, or cohort keys in management packs.
- 02Loss ratio and combined ratio are recalculated in actuarial workbooks outside the claims system.
- 03Claims cycle time and leakage are invisible to underwriting until monthly reviews.
- 04CRM renewal and retention metrics disagree with policy admin counts.
- 05Regulators and boards ask for one view while teams still reconcile three extracts.
How Power BI for Insurance solves it
What changes when those systems feed a governed Power BI model.
- Build Power BI for insurance that connects policy, claims, CRM, and finance on shared book keys.
- Publish underwriting and claims dashboards with governed loss ratio and cycle-time measures.
- Give distribution leaders renewal and retention views aligned to policy admin.
- Surface severity and reserve exceptions early for claims operations.
- Replace fragile workbook packs with refreshed, auditable Power BI models.
Why this work matters commercially
03
Commercial considerations
Insurance organizations already manage the business in policy admin, claims, distribution CRM, finance, and actuarial systems. The reporting problem is usually not “we need another chart”—it is that CRM, ERP, and operational extracts disagree on timing, filters, and owners before every meeting.
Underwriting, claims, and distribution each own a system of record—combined ratio stories are rebuilt offline. Power BI for Insurance only works when those systems of record feed one governed semantic model with documented KPI definitions.
Power BI Analytics scopes the first release around the insurance decisions that currently wait on manual packs—then connects the right source systems, validates totals, and lands the report in a real operating cadence.
Who this is for
Built for leaders who need dependable numbers in real operating conversations—not another unused dashboard.
01Insurance executives who need one operating view across CRM/ERP and plant or field systems
02Finance partners tired of reconciling conflicting system extracts
03Operations and functional managers who need earlier exception visibility
04IT and analytics teams responsible for maintainable Power BI on Microsoft
How value is measured
We establish a baseline before delivery so ROI is discussed in operating terms, not slideware.
01
Time saved
Measure hours currently spent assembling insurance reporting packs, reconciling totals, and answering “which number is correct?”
02
Decision speed
Track how many days earlier leaders can see exceptions, variances, or forecast risk after the release.
03
Control and trust
Count disputed metrics, failed refreshes, and unmanaged workbooks replaced by governed models.
04
Adoption
Confirm the intended audience actually uses the report in the meeting or process it was designed for.
Where insurance data already lives
Underwriting, claims, and distribution each own a system of record—combined ratio stories are rebuilt offline. Power BI consulting connects these systems of record into one governed reporting model.
01
Policy admin
premium, product, risk mix
02
Claims systems
FNOL, severity, cycle time, reserves
03
CRM / distribution
agents, renewals, book of business
04
Finance / actuarial
loss ratio, combined ratio
05
Document / workflow
SLA and leakage signals
KPIs that support action
01
Loss ratio
Claims cost relative to earned premium.
02
Combined ratio
Loss and expense ratio for underwriting performance.
03
Claims cycle time
First notice to resolution from claims systems.
04
Retention rate
Policies renewed in the period from policy + CRM.
Recommended dashboards
Recommended insurance dashboards
Power BI for Insurance patterns we tailor to your systems, owners, and review cadence. Click any preview to expand.
Dashboard
Underwriting dashboard
Premium, risk mix, loss ratio, and renewal performance.
- Connected to policy admin, claims, distribution CRM, finance, and actuarial systems
- Thresholds and owners
- Drill to operational detail
Operating cadence
Reporting only creates value when it lands in a real review rhythm.
Daily or shift exceptions from operational systems into Power BI
Weekly insurance performance review with owned actions
Monthly executive scorecard with variance commentary
Quarterly model improvements tied to adoption and ROI
Example reports
- 01Insurance executive scorecard from governed Power BI measures
- 02Insurance operations exception pack by site, team, or account
- 03Variance and root-cause drill-through tied to source systems
- 04Trend, forecast, and owner-threshold report for weekly reviews
What improves
- Build Power BI for insurance that connects policy, claims, CRM, and finance on shared book keys.
- Publish underwriting and claims dashboards with governed loss ratio and cycle-time measures.
- Give distribution leaders renewal and retention views aligned to policy admin.
- Surface severity and reserve exceptions early for claims operations.
- Replace fragile workbook packs with refreshed, auditable Power BI models.
Frequently asked questions
05
Buyer questions answered
Yes with a claims event date, report date, and accounting date roles (role-playing Date tables or separate marked date dimensions). Mixing them in one DATESYTD without role play creates false loss-ratio moves.
ClaimId grain from FNOL through payment; reserves at evaluation date snapshots. Import nightly snapshots of reserves—DirectQuery to live claims OLTP is rarely fold-safe under examiner concurrency.
Stage Bordereaux to SQL with validation flags (missing risk codes, currency). Power Query should not be the only validation layer. Failed Status rows from bad files must alert operations before underwriters see blank loss ratios.
Filter BranchCode and ProductLine via Entra; test View as including dual membership. Embedded partner portals need Effective Identity roles mapped—empty claims lists are usually identity, not missing data.
Standard gateway to the extracts DB; never personal. Large claims history uses incremental refresh on LossDate once capacity (PPU/Premium/Fabric) and folding exist. Recovery keys vaulted for cluster rebuilds.
Related services
Power BI Consulting
Connect the systems you already use and leave with a clear place to report—before another orphan dashboard appears.
Power BI Dashboard Development
Build 1–2 live dashboard pages that pull from multiple sources—not a screenshot of Excel pasted into Power BI.
Reporting Automation
Retire the Monday email of pasted workbooks: scheduled refresh and one pack finance can open without stitching tabs.
Data Warehouse Design
Data Warehouse Design starts by killing contradictory extracts—then publishes measures that data leaders, IT managers, and executives can defend from multiple operational systems and historical data.
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Book a call about insurance reporting
Talk through priorities, data sources, and a practical first Power BI release.