SWOT
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Dxc Technology Product

To deliver excellence in Enterprise Technology by becoming the world's leading independent, end-to-end IT services company

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Align the strategy

Dxc Technology Product SWOT Analysis

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To deliver excellence in Enterprise Technology by becoming the world's leading independent, end-to-end IT services company

Strengths

  • PARTNERSHIPS: Strong global partner ecosystem with tech leaders
  • EXPERTISE: Deep expertise in industry-specific enterprise solutions
  • SCALE: Global delivery capabilities across 70+ countries
  • INNOVATION: Modern Application portfolio for digital transformation
  • CLIENTS: Established relationships with Fortune 500 enterprises

Weaknesses

  • LEGACY: Heavy dependence on declining traditional IT services
  • TALENT: Challenges in attracting and retaining top product talent
  • INTEGRATION: Siloed product development across business units
  • PERCEPTION: Market perception as legacy IT service provider
  • AGILITY: Slow product development and deployment cycles

Opportunities

  • CLOUD: Growth in enterprise cloud migration and modernization
  • AUTOMATION: Increasing demand for intelligent automation solutions
  • SECURITY: Rising cybersecurity concerns driving product demand
  • ANALYTICS: Data-driven decision making across enterprise clients
  • INDUSTRY: Vertical-specific SaaS and platform opportunities

Threats

  • COMPETITION: Aggressive moves by cloud hyperscalers into services
  • TALENT: Global war for AI and product management talent
  • COMMODITIZATION: Pricing pressure on traditional IT services
  • DISRUPTION: Rapid tech evolution outpacing development cycles
  • ECONOMY: Economic uncertainty affecting IT spending decisions

Key Priorities

  • MODERNIZE: Accelerate shift from legacy to next-gen product portfolio
  • TALENT: Transform product organization talent acquisition strategy
  • CLOUD: Develop comprehensive multi-cloud product solutions
  • AUTOMATION: Integrate AI/ML capabilities across product offerings
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Align the plan

Dxc Technology Product OKR Plan

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To deliver excellence in Enterprise Technology by becoming the world's leading independent, end-to-end IT services company

MODERNIZE PORTFOLIO

Transform our offerings into market-leading digital solutions

  • CLOUD: Launch 3 new multi-cloud management products with AI capabilities by EOQ with 20+ beta customers
  • RETIREMENT: Identify and create migration plans for 40% of legacy product portfolio with <10% profit margin
  • INTEGRATION: Develop product integration framework to connect 80% of offerings through common APIs
  • ROADMAP: Create and publish customer-facing roadmaps for all top 10 products by revenue with NPS targets
TALENT REVOLUTION

Build world-class product talent to drive innovation

  • HIRING: Recruit 50 specialized product managers with digital/AI experience across key business units
  • TRAINING: Implement product excellence training program with 90% completion rate for existing team
  • STRUCTURE: Reorganize product organization into 8 customer-centric domains with clear ownership
  • RETENTION: Improve product team retention to 85% through new career paths and incentive structures
CLOUD LEADERSHIP

Dominate enterprise cloud transformation market

  • PLATFORM: Develop unified multi-cloud management platform supporting AWS, Azure, GCP with 15 customers
  • AUTOMATION: Create cloud migration assessment tool reducing planning time by 40% for enterprise clients
  • PARTNERSHIPS: Establish 3 new strategic alliances with cloud providers with joint go-to-market plans
  • CERTIFICATION: Increase certified cloud architects by 200 across AWS, Azure, and GCP technologies
AI ACCELERATION

Transform all products with embedded AI capabilities

  • FOUNDATION: Launch AI platform for enterprise with 5 industry-specific use cases and 10 beta customers
  • INTEGRATION: Embed AI capabilities in 60% of product portfolio with measurable customer impact metrics
  • AUTOMATION: Develop 10 new intelligent automation solutions reducing manual processes by 40%
  • GOVERNANCE: Implement responsible AI framework with 100% compliance across all product teams
METRICS
  • Customer Net Promoter Score (NPS): 45
  • Digital/Next-Gen Revenue Growth: 25%
  • Product Development Velocity: 30% reduction in time-to-market
VALUES
  • Deliver: We do what we say we are going to do
  • Collaborate: We work as a team – with our colleagues, customers and partners
  • Community: We believe in stewardship and building a sustainable company
  • Care: We take care of each other and foster a culture of inclusion and belonging
  • Do the right thing: We act with integrity
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Align the learnings

Dxc Technology Product Retrospective

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To deliver excellence in Enterprise Technology by becoming the world's leading independent, end-to-end IT services company

What Went Well

  • REVENUE: Organic revenue growth in GBS segment above market expectations
  • MARGIN: Improved adjusted EBIT margins through operational efficiency
  • CLOUD: Strong performance in cloud migration and modernization services
  • COST: Successful implementation of cost optimization initiatives globally
  • BOOKINGS: Increased total contract value (TCV) of new business awarded

Not So Well

  • ATTRITION: Higher than expected voluntary employee turnover rates persist
  • LEGACY: Faster than anticipated decline in traditional infrastructure
  • PIPELINE: Sales pipeline conversion rates below quarterly targets
  • ADOPTION: Slower customer adoption of newer digital product offerings
  • INTEGRATION: Post-merger integration challenges affecting service delivery

Learnings

  • PRODUCT: Need for accelerated product development and launch cycles
  • ALIGNMENT: Better alignment needed between sales and product strategies
  • BUNDLING: Customers prefer integrated solutions over standalone products
  • METRICS: Product success metrics must focus on customer value creation
  • SEGMENTATION: More targeted approach needed for industry verticals

Action Items

  • PORTFOLIO: Streamline product portfolio to focus on high-growth segments
  • TALENT: Implement aggressive hiring plan for digital product expertise
  • INNOVATION: Establish dedicated product innovation funding and process
  • METHODOLOGY: Adopt standardized agile product development framework
  • INCENTIVES: Realign compensation structure to reward product innovation
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Drive AI transformation

Dxc Technology Product AI Strategy SWOT Analysis

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To deliver excellence in Enterprise Technology by becoming the world's leading independent, end-to-end IT services company

Strengths

  • FOUNDATION: Existing data and analytics capabilities to build upon
  • PARTNERSHIPS: Strategic AI partnerships with major tech players
  • KNOWLEDGE: Enterprise domain expertise to contextualize AI
  • INFRASTRUCTURE: Global data centers for AI deployment at scale
  • CLIENTS: Access to enterprise data sets for AI model training

Weaknesses

  • SKILLS: Limited AI product development expertise in-house
  • INTEGRATION: Fragmented AI initiatives across business units
  • INNOVATION: Reactive rather than proactive AI adoption approach
  • INVESTMENT: Limited R&D budget allocation for AI products
  • PROCESS: Lack of standardized AI development methodology

Opportunities

  • AUTOMATION: Enterprise demand for intelligent process automation
  • ANALYTICS: AI-powered business insights and decision support
  • SECURITY: AI-enhanced cybersecurity solutions market growth
  • PLATFORM: Industry-specific AI platforms for vertical markets
  • EXPERIENCE: AI-driven customer and employee experience solutions

Threats

  • COMPETITION: AI-native startups targeting enterprise segments
  • HYPERSCALERS: Cloud providers expanding AI service offerings
  • TALENT: Intense competition for scarce AI product talent
  • REGULATION: Evolving AI governance and compliance requirements
  • ETHICS: Growing concerns about responsible AI deployment

Key Priorities

  • PLATFORM: Develop enterprise AI platform for cross-industry use
  • TALENT: Create AI center of excellence for product innovation
  • INTEGRATION: Embed AI capabilities into all product offerings
  • ETHICS: Establish responsible AI framework and governance