Federal Flood Insurance Provider Reduced Reporting Costs by 25%
A flood insurance leader reduced reporting costs by 25% and cut assessment time by 35%. Muoro’s cloud-native analytics team delivered a full-stack solution in just 4 months.
Business Goals
Mission
Replace manual reports with a real-time, map-based analytics platform for flood insurance policies, from national to zip-code-level insights.
Challenge
The client’s data systems were fragmented and outdated, with no real-time dashboards or drill-downs. Manual reporting slowed down underwriting and increased costs.
Need
They needed a cloud-based analytics platform with automated ETL, scalable infrastructure, and interactive dashboards that could support underwriting across regions and policy providers.
About Client
Our client is a top federal flood insurance provider under the NFIP, working with multiple underwriters (“slips”) to issue policies across thousands of US zip codes.
The platform was designed to:
- Track risk and policy data at national, state, and zip code levels
- Provide drillable insights by company, geography, and policy type
- Eliminate manual reporting cycles with real-time analytics
The client had the data but lacked the DevOps capacity to build a cloud-native analytics system from scratch.
The Challenge
Despite scale and data availability, the platform faced four key limitations:
No Cloud-Native Infrastructure
Legacy systems weren’t built for Azure, limiting scalability and integration with BI tools.
Manual ETL and Reporting
Policy data arrived as raw text files and had to be processed manually for insights.
No Real-Time Drill-Down
Decision-makers couldn’t interactively explore risk data by company, zip code, or geography.
Consultant Dependency
Every report required external consultants, delaying updates and increasing recurring costs.
The Muoro Solution
Muoro deployed DevOps engineers to build a scalable, end-to-end analytics platform with zero reliance on manual workflows.
Cloud-Based ETL Framework
We built an Azure-native pipeline using Data Factory and SQL Data Warehouse to automate ingestion and transformation of raw policy data.
Real-Time Drill-Down Dashboards
Power BI dashboards showed risk heatmaps, policy counts, and premiums by company, state, and zip code with full drill-down capabilities.
Delivered in Just 4 Months
Muoro completed the full analytics stack, ETL to dashboards, within four months, including handover, documentation, and internal training.
All Technologies Used
Impact & Results
We always deliver on outcomes that matter.
Interactive Risk Reporting Built
Dashboards now show real-time, shaded maps and company-specific overlays, from total to zip-level.
35% Faster Risk Assessment
Underwriters and analysts make decisions quicker with live data access.
25% Cost Reduction
Eliminated recurring consulting fees by bringing analytics fully in-house.
Complete Delivery in 4 Months
From ingestion to dashboards, the entire system was built by Muoro’s remote DevOps team within the project deadline.
Final Outcome
Muoro enabled the client to:
- Replace manual workflows with real-time, map-based dashboards
- Centralize and visualize risk data across geographies and insurers
- Cut costs and improve clarity in underwriting decisions
- Operate a future-ready analytics stack built for scale
Need DevOps Support for Cloud Analytics?
Still managing ETL by hand or stuck in spreadsheet reports? Muoro provides engineers who build cloud-native pipelines and dashboards fast.
Let’s talk.
