SWOT
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Dow Engineering

To deliver innovative solutions through materials science expertise to address global challenges and create a sustainable future

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Align the strategy

Dow Engineering SWOT Analysis

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To deliver innovative solutions through materials science expertise to address global challenges and create a sustainable future

Strengths

  • INFRASTRUCTURE: Robust digital infrastructure supporting global operations
  • TALENT: Strong technical expertise in materials science engineering
  • SCALE: Advanced cloud computing capabilities with global reach
  • SECURITY: Mature cybersecurity practices protecting IP and operations
  • ARCHITECTURE: Modular tech stack enabling rapid solution deployment

Weaknesses

  • LEGACY: Aging legacy systems requiring significant modernization
  • INTEGRATION: Siloed data architecture limiting cross-functional insights
  • TALENT: Skill gaps in emerging technologies like AI and ML
  • PROCESS: Lengthy development cycles impacting time-to-market
  • AGILITY: Rigid release processes limiting adaptation to market changes

Opportunities

  • AUTOMATION: Implement advanced process automation across operations
  • ANALYTICS: Leverage big data for predictive manufacturing insights
  • SUSTAINABILITY: Develop digital tools to enhance sustainability metrics
  • PLATFORMS: Create unified digital platforms for customer engagement
  • CLOUD: Accelerate cloud migration for improved operational efficiency

Threats

  • CYBERSECURITY: Increasing sophistication of cyber threats globally
  • COMPETITION: Tech-forward competitors gaining market advantage
  • TALENT: War for specialized technical talent intensifying
  • COMPLIANCE: Growing complexity of global data regulations
  • TECH-DEBT: Accelerating technical debt hampering innovation

Key Priorities

  • MODERNIZATION: Accelerate legacy system modernization
  • DATA: Implement unified data architecture for cross-functional insights
  • AUTOMATION: Expand AI-driven automation across manufacturing
  • TALENT: Upskill engineering teams in emerging technologies
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Align the plan

Dow Engineering OKR Plan

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To deliver innovative solutions through materials science expertise to address global challenges and create a sustainable future

MODERNIZE

Revolutionize our digital foundation for future innovation

  • PLATFORMS: Migrate 75% of critical applications to cloud platforms with 99.99% uptime by Q3
  • LEGACY: Decommission 15 legacy systems and reduce technical debt by 30% with verified cost savings
  • ARCHITECTURE: Implement microservices architecture for 8 core manufacturing systems with API-first design
  • SECURITY: Achieve 95% compliance with enhanced cybersecurity framework across all digital assets
UNIFY DATA

Create single source of truth across the enterprise

  • PLATFORM: Launch unified data platform connecting 90% of operational data sources with real-time syncing
  • GOVERNANCE: Implement enterprise data governance framework with 100% critical data coverage by Q3-end
  • QUALITY: Improve data quality scores to 90%+ across manufacturing, supply chain and customer data sets
  • ACCESSIBILITY: Enable self-service analytics for 2000+ users with verified 80% adoption rate by Q4
ACCELERATE AI

Drive breakthrough innovation through AI deployment

  • MODELS: Develop and deploy 12 high-impact AI models across manufacturing with $50M validated impact
  • FOUNDATION: Establish AI Center of Excellence supporting 25+ business units with standardized practices
  • AUTOMATION: Implement AI-driven process automation for 40 critical workflows reducing labor by 30%
  • DISCOVERY: Launch AI-powered materials discovery platform enabling 3x faster formulation development
EMPOWER TALENT

Create world-class digital engineering capabilities

  • UPSKILLING: Train 1000+ engineers on AI/ML, cloud, and modern development practices with 90% mastery
  • ACQUISITION: Recruit 50 specialized tech talents in AI, cloud architecture and cybersecurity by Q4
  • CULTURE: Achieve 85%+ favorable score in engineering innovation culture survey across all tech teams
  • COLLABORATION: Implement 5 strategic academic partnerships for specialized technical capabilities
METRICS
  • Digital Infrastructure Efficiency: 25% improvement by 2026
  • Engineering Productivity: 30% increase in output per engineering headcount
  • Technical Debt Reduction: 40% decrease in legacy maintenance costs
VALUES
  • Integrity
  • Respect for People
  • Protecting Our Planet
  • Innovation Excellence
  • Customer-Centric Focus
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Align the learnings

Dow Engineering Retrospective

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To deliver innovative solutions through materials science expertise to address global challenges and create a sustainable future

What Went Well

  • DIGITAL: Digital transformation initiatives delivered $180M in cost savings
  • CLOUD: Cloud migration reduced infrastructure costs by 22% year-over-year
  • AUTOMATION: Manufacturing automation projects improved yield by 14% globally
  • SECURITY: Zero major security incidents despite 40% increase in cyber threats
  • TALENT: Successfully onboarded 120 new technical specialists across divisions

Not So Well

  • PROJECTS: 35% of digital projects exceeded timeline or budget constraints
  • ADOPTION: User adoption of new digital tools below target at 68% vs 85% goal
  • LEGACY: Legacy system maintenance costs increased 12% above projections
  • INTEGRATION: Cross-platform data integration challenges delayed key insights
  • INNOVATION: R&D digital enablement initiatives behind schedule by 4 months

Learnings

  • CHANGE: More robust change management essential for digital transformation
  • ARCHITECTURE: Microservices approach delivers better results than monolithic
  • AGILE: Agile methodologies demonstrated 30% faster time-to-market results
  • DATA: Centralized data governance critical to enabling analytics at scale
  • TRAINING: Technical training programs require more business context alignment

Action Items

  • ESTABLISH: Create unified technology governance council by end of Q2 2025
  • ACCELERATE: Increase cloud migration velocity by 25% through enhanced tools
  • IMPLEMENT: Deploy enterprise data platform connecting all business units
  • LAUNCH: Rollout comprehensive AI/ML training program for 500+ engineers
  • MODERNIZE: Accelerate legacy system replacement with 5 key systems by Q4
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Drive AI transformation

Dow Engineering AI Strategy SWOT Analysis

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To deliver innovative solutions through materials science expertise to address global challenges and create a sustainable future

Strengths

  • FOUNDATION: Strong data infrastructure as foundation for AI deployment
  • EXPERTISE: Core team of AI/ML engineers with materials science focus
  • INVESTMENT: Dedicated funding for AI research and implementation
  • PARTNERSHIPS: Strategic academic and tech partnerships for AI research
  • USE-CASES: Initial successful AI pilots in manufacturing optimization

Weaknesses

  • SCALE: Limited enterprise-wide AI deployment and standardization
  • DATA: Data quality issues affecting AI model performance
  • GOVERNANCE: Inconsistent AI governance and ethical frameworks
  • TALENT: Shortage of specialized AI talent with industry knowledge
  • INTEGRATION: Challenges integrating AI solutions with legacy systems

Opportunities

  • OPTIMIZATION: AI-driven manufacturing process optimization
  • PREDICTION: Predictive maintenance to reduce downtime by 30%
  • INNOVATION: Accelerated materials discovery through AI
  • SUSTAINABILITY: AI-powered sustainability tracking and improvements
  • AUTOMATION: Intelligent automation of routine engineering tasks

Threats

  • COMPETITION: Competitors advancing AI capabilities faster
  • DISRUPTION: AI potentially disrupting traditional business models
  • REGULATION: Evolving global AI regulations creating compliance risks
  • EXPERTISE: Market scarcity of specialized AI talent
  • TRUST: Potential stakeholder concerns about AI ethics and bias

Key Priorities

  • PLATFORM: Develop unified AI platform for engineering applications
  • GOVERNANCE: Establish robust AI governance and ethical frameworks
  • UPSKILLING: Launch comprehensive AI training for engineering teams
  • INTEGRATION: Create seamless integration between AI and core systems