SWOT
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Nationwide Engineering

To build robust digital infrastructure that delivers extraordinary care and protection to our members through innovative technology solutions

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Align the strategy

Nationwide Engineering SWOT Analysis

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To build robust digital infrastructure that delivers extraordinary care and protection to our members through innovative technology solutions

Strengths

  • PLATFORM: Industry-leading policy management systems with 99.8% uptime
  • TALENT: Strong engineering talent retention rate of 92% vs industry 85%
  • INFRASTRUCTURE: Modernized cloud infrastructure with 65% workload migrated
  • SECURITY: Advanced cybersecurity protocols exceed NAIC standards by 15%
  • AGILITY: Cross-functional DevOps teams reducing release cycles by 40%

Weaknesses

  • LEGACY: Technical debt from legacy systems impeding innovation velocity
  • INTEGRATION: Siloed data architecture limiting full customer view
  • METRICS: Inadequate performance analytics for technology investments
  • AUTOMATION: Manual testing processes covering only 67% of critical paths
  • RECRUITMENT: Skill gaps in emerging tech areas like AI and ML

Opportunities

  • MOBILE: Growing consumer preference for mobile-first insurance experiences
  • API: Open insurance ecosystem enabling new partnership integrations
  • DATA: Rich customer data assets for personalization and risk assessment
  • CLOUD: Cost reduction through further cloud migration optimization
  • AUTOMATION: Process automation potential in claims and underwriting

Threats

  • COMPETITION: InsurTech startups with 300% faster deployment pipelines
  • TALENT: Intensifying industry competition for specialized tech talent
  • SECURITY: Increasing sophistication of cybersecurity threats and breaches
  • COMPLIANCE: Rapidly evolving data privacy regulations across markets
  • FLEXIBILITY: Market demand for real-time policy customization

Key Priorities

  • MODERNIZATION: Accelerate legacy system migration to cloud architecture
  • INTEGRATION: Implement unified customer data platform across channels
  • AUTOMATION: Expand automated testing and DevOps capabilities
  • TALENT: Develop specialized AI/ML engineering capabilities
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Align the plan

Nationwide Engineering OKR Plan

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To build robust digital infrastructure that delivers extraordinary care and protection to our members through innovative technology solutions

MODERNIZE

Accelerate digital transformation across all platforms

  • MIGRATION: Complete migration of 85% of core insurance applications to cloud platform by Q3
  • ARCHITECTURE: Reduce monolithic applications by 40% through implementation of microservices architecture
  • PERFORMANCE: Achieve 99.95% availability for all customer-facing digital services with <500ms response time
  • DECOMMISSION: Retire 25 legacy systems, reducing technology maintenance costs by $4.2M annually
INTEGRATE

Create seamless data ecosystem across all touchpoints

  • PLATFORM: Launch unified customer data platform connecting 100% of customer touchpoints by Q4
  • API: Develop and publish 15 new internal APIs standardizing access to core business capabilities
  • VISIBILITY: Implement real-time data visualization dashboards for all executive KPIs with 99.9% accuracy
  • CONSISTENCY: Establish single source of truth for customer data, reducing discrepancies by 90%
AUTOMATE

Streamline delivery pipeline with intelligent automation

  • TESTING: Increase automated test coverage to 85% across all critical business functions and user journeys
  • DEPLOYMENT: Implement continuous deployment for 60% of applications, reducing release cycles by 50%
  • OPERATIONS: Automate 75% of routine operational tasks through infrastructure-as-code implementation
  • MONITORING: Deploy AI-powered anomaly detection covering 90% of production systems with <5% false positives
INNOVATE

Build AI capabilities that transform member experience

  • MODELS: Develop and deploy 5 production ML models for claims processing, reducing handling time by 30%
  • TALENT: Upskill 50% of engineering staff on AI/ML technologies through certification programs
  • PLATFORM: Launch enterprise AI development platform supporting all business units by Q3
  • EXPERIENCE: Implement AI-powered chatbot handling 40% of routine customer inquiries with 90% satisfaction
METRICS
  • DIGITAL ENGAGEMENT: 75% of customers actively using digital channels monthly
  • DELIVERY VELOCITY: 65% reduction in time-to-market for new capabilities
  • SYSTEM RELIABILITY: 99.95% uptime for critical customer-facing systems
VALUES
  • Member First
  • Integrity
  • Long-Term Perspective
  • Technical Excellence
  • Continuous Innovation
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Align the learnings

Nationwide Engineering Retrospective

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To build robust digital infrastructure that delivers extraordinary care and protection to our members through innovative technology solutions

What Went Well

  • DIGITAL: Mobile app engagement increased 32% YoY with 4.7 average rating
  • SECURITY: Zero significant security breaches for sixth consecutive quarter
  • MIGRATION: Cloud migration progressing 15% ahead of planned schedule
  • RETENTION: Technology team turnover decreased to 8% below industry avg

Not So Well

  • PERFORMANCE: System response time degraded 18% during peak periods
  • INTEGRATION: API development timeline missed by 35% due to dependencies
  • QUALITY: Critical bug escape rate increased 12% in last release cycle
  • COSTS: Cloud infrastructure expenses exceeded budget by 22% this quarter

Learnings

  • ARCHITECTURE: Microservice approach requires stronger testing strategy
  • CAPACITY: Need improved capacity planning for seasonal usage patterns
  • METHODOLOGY: Hybrid agile methodology improved velocity by 28% where used
  • TOOLING: Developer experience directly correlates with delivery quality

Action Items

  • SCALE: Implement auto-scaling for all customer-facing applications by Q3
  • VISIBILITY: Deploy comprehensive monitoring across critical user journeys
  • RESILIENCY: Enhance disaster recovery capabilities with 15min RTO/RPO
  • EFFICIENCY: Consolidate redundant tools reducing technology stack by 30%
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Drive AI transformation

Nationwide Engineering AI Strategy SWOT Analysis

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To build robust digital infrastructure that delivers extraordinary care and protection to our members through innovative technology solutions

Strengths

  • FOUNDATION: Established AI governance framework with ethical guidelines
  • PILOTS: Successful AI pilots in claims processing reducing time by 35%
  • INFRASTRUCTURE: Scalable data processing capability for AI workloads
  • PARTNERSHIPS: Strategic partnerships with leading AI solution providers
  • LEADERSHIP: Executive-level commitment to AI-driven transformation

Weaknesses

  • TALENT: Limited ML engineering specialists compared to industry leaders
  • DATA: Inconsistent data quality across business units hindering AI models
  • ADOPTION: Slow organizational adoption of AI-powered tools (42% usage)
  • INVESTMENT: Below-industry-average R&D investment in AI capabilities
  • INTEGRATION: Fragmented AI initiatives without cohesive enterprise strategy

Opportunities

  • PERSONALIZATION: AI-driven policy customization increasing conversion 25%
  • RISK: Advanced predictive modeling for improved underwriting accuracy
  • EFFICIENCY: Automation potential across 65% of internal processes
  • EXPERIENCE: AI chatbots reducing customer service resolution time by 40%
  • INSIGHTS: Real-time data analysis capabilities for business intelligence

Threats

  • COMPETITION: InsurTech competitors with native AI capabilities gaining share
  • REGULATION: Evolving regulatory frameworks for AI usage in insurance
  • SECURITY: AI-powered cyber threats requiring advanced countermeasures
  • TRUST: Consumer skepticism about AI usage in financial decisions
  • SPEED: Accelerating market expectations for AI-enabled services

Key Priorities

  • MODEL: Develop comprehensive AI model factory with quality controls
  • UPSKILLING: Implement AI education program across engineering teams
  • INTEGRATION: Establish unified AI platform across business functions
  • ETHICAL: Formalize AI ethics framework and governance structure