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Jul 1, 20256 min read

Data as a Strategic Asset: Inside Evertree's Drive for Control, Clarity, and Competitive Edge

Case Study
Insurance
Databricks logo
Azure logo

Data is core to modern insurance operations. But for Evertree Insurance, that core was fragmented – trapped across platforms, throttled by manual workflows, and just out of reach when it mattered most.

To scale their operations and enable data-driven growth, Evertree partnered with DevIQ to architect a unified data platform built on Databricks. Together, we replaced the manual with the modular, stitched disconnected systems into a cohesive whole, and laid the foundation for insights they could truly own.

It wasn’t about fanciful features – yet. It was about control, clarity, and building the kind of data foundation that’s ready for what’s next.

6 Siloed
Systems

unified in a single view

70% Time
Reduction

in generating cross-system reports

40+ Hours Saved
Monthly

by automating data mapping

The Client & The Challenge

client-evertree-logoEvertree is a rapidly growing insurtech company that empowers insurance agents through technology. Their platform blends human-led sales with cutting-edge digital capabilities, setting high standards for customer experience and operational efficiency.

Challenges & Pain Points

Data Fragmentation and Manual Processes

Policy and commission data lived in silos across Salesforce and Applied Epic. Monthly manual imports meant agents were often working with outdated or incomplete information, creating lag and risking customer trust.

No Single Source of Truth

Every system told its own version of the story, but there was no unified narrative. Without centralized analytics, Evertree couldn’t confidently act on performance metrics or forecast with clarity.

Limited Operational Visibility

Agents and decision-makers lacked real-time synchronization, impacting customer service quality and operational responsiveness.

Consequences of Inaction

Without a foundational shift, Evertree risked scaling inefficiency along with its growth. The status quo would have meant slower onboarding, inconsistent customer experiences, missed opportunities to innovate, and limited competitive differentiation. In short, their operations were growing, but their insight was not.

The Partnership & The Proposition

When Evertree needed more than a vendor to transform its data operations – when they needed a partner who could help untangle complexity without adding more – they turned to DevIQ. Having already successfully completed projects, Evertree knew DevIQ had a collaborative and flexible approach. With certified expertise in data engineering with Databricks on Azure, a strong partnership was inevitable.

Expert Guidance and a Flexible Process
  • Best Practices from Day One – DevIQ led with Databricks expertise, guiding Evertree through proven frameworks like medallion architecture to lay a scalable, governed foundation.

  • Minimal Guesswork, Maximum Clarity – From roadmap shaping to sync orchestration, the team provided clear rationale behind every architectural choice.

  • Hands-On Collaboration – While timelines and priorities shifted, DevIQ stayed grounded in forward motion by adjusting to uncertainty without losing focus.

Collaborative Fit and Cultural Alignment
  • Flexible Delivery, Zero Drama – DevIQ operated within Evertree’s tools and rhythms – adapting sprint styles, documentation formats, and feedback cycles to reduce friction.

  • Trust Built on Candor – When something wasn’t working or needed rethinking, DevIQ spoke up with honesty, not ego. That transparency earned Evertree’s long-term confidence.

  • Not Just ‘Done For You’—Done With You – The partnership thrived because both teams were engaged, iterative, and aligned on outcomes over process perfection.

DevIQ's approach to consulting, as well as the SDLC, makes them truly feel like a partner and not just another consultant. DevIQ is not just there to build software but to solve the problems the business is facing.

– VP of Engineering, Evertree Insurance | Clutch

The Solution & The Execution

Strategy & Approach

DevIQ approached Evertree’s data challenges with a phased, flexible model designed to deliver value early while enabling long-term evolution. As priorities shifted and the business grew and evolved, we remained a strategic constant – refining architecture, guiding decisions, and making sure progress never lost momentum.

Inception & Roadmap Alignment
  • Business-first Discovery – Early sessions clarified what mattered most: faster decisions, cleaner pipelines, and fewer fire drills.
  • Defined but Flexible – Initial goals were clear, but the plan stayed dynamic to adapt to shifting priorities and system interdependencies. We continuously adjusted delivery plans to accommodate emerging insights, organizational change, and new growth vectors.
Data Integration Flow
  • Applied Epic data is queried via Google Big Query Data Lake using Lakehouse Federation and shaped into sync-ready views using dbt and Databricks SQL and registered with Unity Catalog.
  • Sprout, an Azure-hosted custom-built orchestration service, consumes views to synchronize data with Salesforce.
  • Salesforce updates are routed through Databricks and synced back into Epic using the Applied Epic SDK, preserving system integrity and auditability.

Technical Execution

Technologies
  • Languages: SQL, Python, C#
  • Components: Databricks SQL · Lakehouse · Delta Live Tables · Unity Catalog · Analytics
  • Integrations: Salesforce APIs · Applied Epic SDK · Azure DevOps
  • Infrastructure: Azure Databricks · Azure App Service
Robust Data Management
  • Structured data pipelines using the Medallion Architecture in Databricks Lakehouse – enabling a scalable foundation for reporting, analytics, and future ML initiatives.
  • Queried Applied Epic’s BigQuery Data Lake via Lakehouse Federation – reducing ETL complexity and enabling near real-time visibility into policy and carrier data.
  • Built observable transformation pipelines using Delta Live Tables, dbt, and LakeFlow Connect – ensuring reliability, reusability, and traceable lineage across all data flows.
  • Enforced governance and auditability with Unity Catalog and Databricks SQL – providing fine-grained access controls, lineage, and compliance-ready tracking.
  • Deployed containerized Azure App Services for bi-directional sync – orchestrating real-time Salesforce–Epic integration via Azure Service Bus for durable, asynchronous event handling without impacting system performance.

DevIQ’s expertise in Databricks helped us unlock a unified, automated view of our business for the first time. Not just a data platform, it’s been a springboard for insights and operational improvements that are shaping our future strategy.

– Senior Data Engineer, Evertree

The Results

Built and Shipped

Evertree now operates on a unified, bi-directional data foundation built with Databricks and Azure – designed to ensure real-time consistency without compromising performance or governance. With the groundwork in place, agents and stakeholders now have clearer visibility and faster access to the data they need to make informed decisions. DevIQ helped architect the platform – but Evertree is the visionary putting real data to work to improve the lives of its customers.

  • One Source of Truth: Integrated disparate data sources into a single, reliable Databricks Lakehouse.
  • Eliminated Manual Effort: Real-time synchronization eliminated inconsistent monthly manual data imports.
  • Scalable Data Infrastructure: Established a robust, Azure-native Databricks platform capable of supporting future AI/ML initiatives.
  • Enhanced Competitive Advantage: Enabled proprietary data ownership, setting a foundation for differentiated analytics and future innovation.

By the Numbers

  • 40+ Hours Saved Monthly: Enabled a unified view of Evertree’s business for the first time and what previously took hours of manual mapping is now automated, saving countless hours across all teams.
  • 70% Time Reduction: Reduced time to generate cross-system reports by more than 70%, accelerating decision-making and insight delivery.
  • 6 Data Sources, 1 Unified View: Six previously disconnected systems are now visualized together for the first time giving Evertree a single source of truth.
icon-efficiency
Increase Efficiency
icon-time-savings
Time Savings
icon-insights
Data Insights

The Conclusion

Evertree's Databricks-driven transformation provides a robust foundation for current operational improvements and future innovation. With greater ownership of their data data ownership and near real-time insights, Evertree can now leverage advanced data+AI capabilities, driving deeper insights and superior, human-led, AI-assisted customer experiences. Their collaboration with DevIQ exemplifies how technical expertise paired with genuine partnership can unlock transformative business outcomes.

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