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Bank Of New York Mellon Product

To power financial success through innovative product experiences that transform how assets are managed in a digital-first economy

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Align the strategy

Bank Of New York Mellon Product SWOT Analysis

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To power financial success through innovative product experiences that transform how assets are managed in a digital-first economy

Strengths

  • PLATFORM: Industry-leading digital asset servicing platform
  • SCALE: $46.8T in assets under custody and/or administration
  • EXPERTISE: 239 years of financial services experience
  • INFRASTRUCTURE: Advanced custody and securities infrastructure
  • COMPLIANCE: Robust risk management and regulatory frameworks

Weaknesses

  • LEGACY: Outdated core systems requiring modernization
  • INTEGRATION: Fragmented product experience across business lines
  • AGILITY: Slow time-to-market for new digital features
  • RETENTION: Higher than industry average employee turnover
  • ADOPTION: Below target client adoption of digital platforms

Opportunities

  • DIGITAL: Rising demand for integrated digital wealth solutions
  • DATA: Enhanced monetization of financial data insights
  • BLOCKCHAIN: Expansion into digital asset custody services
  • API: Open banking ecosystem and API-first architecture
  • ESG: Growing market for ESG investment analysis tools

Threats

  • FINTECH: Disruptive fintech players capturing market share
  • SECURITY: Increasing sophistication of cybersecurity threats
  • REGULATION: Evolving global regulatory compliance requirements
  • COMPETITION: Aggressive tech investment by traditional rivals
  • TALENT: Fierce competition for technology and product talent

Key Priorities

  • MODERNIZE: Accelerate digital platform transformation
  • INTEGRATE: Unify client product experience across business lines
  • INNOVATE: Develop blockchain-powered digital asset services
  • SECURE: Strengthen data security and privacy capabilities
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Align the plan

Bank Of New York Mellon Product OKR Plan

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To power financial success through innovative product experiences that transform how assets are managed in a digital-first economy

MODERNIZE

Accelerate our digital transformation journey

  • MIGRATION: Complete cloud migration for 75% of core custody platform components by Q4 2025
  • ARCHITECTURE: Implement API-first architecture across 80% of client-facing services
  • PERFORMANCE: Reduce transaction processing time by 40% through system optimization
  • AUTOMATION: Achieve 35% reduction in manual operations through AI-powered automation
INTEGRATE

Create seamless client experiences across services

  • PLATFORM: Launch unified client portal integrating all service lines with 90% feature parity
  • SATISFACTION: Increase cross-product client satisfaction score from 72 to 85
  • ONBOARDING: Reduce multi-product client onboarding time from 22 days to 7 days
  • ANALYTICS: Deploy integrated client analytics dashboard with 95% data accuracy
INNOVATE

Lead the digital asset revolution

  • BLOCKCHAIN: Launch digital asset custody platform supporting 5 major cryptocurrencies
  • ADOPTION: Onboard 50 institutional clients to the digital asset platform
  • SECURITY: Achieve SOC2 Type II certification for digital asset custody platform
  • VOLUME: Process $10B in digital asset transactions through new platform
SECURE

Set the gold standard for financial data security

  • FRAMEWORK: Implement next-gen security framework across 100% of client-facing systems
  • COMPLIANCE: Achieve zero high-severity findings in regulatory security assessments
  • RESPONSE: Reduce security incident response time from 4 hours to under 30 minutes
  • TRAINING: 100% of product and engineering teams complete advanced security training
METRICS
  • DIGITAL ADOPTION: 78% platform adoption rate across client base
  • REVENUE: $4.2B in digital platform fee revenue (12% YoY growth)
  • CLIENT SATISFACTION: NPS score of 72 (up from current 65)
VALUES
  • Client Focus: Putting clients at the center of everything we do
  • Innovation: Embracing new technologies and approaches to solve client problems
  • Integrity: Acting with honesty and transparency in all interactions
  • Excellence: Striving for operational excellence and quality in all products
  • Collaboration: Working together across teams to deliver integrated solutions
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Align the learnings

Bank Of New York Mellon Product Retrospective

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To power financial success through innovative product experiences that transform how assets are managed in a digital-first economy

What Went Well

  • REVENUE: Fee revenue increased 3% YoY driven by higher client activity
  • ASSETS: Assets under custody/admin reached record $46.8T, up 9% YoY
  • DIGITAL: Digital platform user engagement increased 22% over prior year
  • EFFICIENCY: Achieved $150M in operational efficiencies from automation

Not So Well

  • ADOPTION: Digital platform adoption rate of 65% below target of 70%
  • INTEGRATION: Client satisfaction scores for cross-product experience down
  • DEVELOPMENT: Three key product launches delayed beyond scheduled dates
  • COMPETITION: Lost 2.5% market share to fintech competitors in key segment

Learnings

  • PRIORITIZATION: Need to focus on fewer, high-impact product initiatives
  • FEEDBACK: Earlier client involvement in product design process is critical
  • AGILITY: Current development processes too slow for competitive landscape
  • TALENT: Need specialized AI and data product management capabilities

Action Items

  • UNIFY: Create integrated product roadmap across all business segments
  • ACCELERATE: Implement agile transformation for product development teams
  • MODERNIZE: Prioritize migration of legacy systems to cloud architecture
  • AUTOMATE: Expand AI automation to reduce operational costs by 15%
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Drive AI transformation

Bank Of New York Mellon Product AI Strategy SWOT Analysis

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To power financial success through innovative product experiences that transform how assets are managed in a digital-first economy

Strengths

  • ANALYTICS: Advanced AI analytics for investment insights
  • AUTOMATION: AI-powered operations reducing manual processes
  • TALENT: Strong data science teams for model development
  • FOUNDATION: Substantial structured financial data resources
  • INVESTMENT: Significant technology innovation funding

Weaknesses

  • SILOS: Disconnected AI initiatives across business units
  • LEGACY: Technical debt limiting AI system integration
  • GOVERNANCE: Inconsistent AI governance frameworks
  • ADOPTION: Low client utilization of AI-powered features
  • EXPERTISE: Insufficient specialized AI product management talent

Opportunities

  • PERSONALIZATION: AI-driven personalized client experiences
  • RISK: Enhanced predictive risk modeling capabilities
  • EFFICIENCY: Operational cost reduction through AI automation
  • INSIGHTS: Real-time market intelligence for clients
  • COMPLIANCE: AI-powered regulatory compliance monitoring

Threats

  • COMPETITION: AI-native fintechs with superior user experiences
  • BIAS: Reputational risks from biased algorithms
  • TALENT: Aggressive recruitment of AI specialists by competitors
  • COMPLEXITY: Increasing complexity of AI governance requirements
  • TRANSPARENCY: Client concerns about AI decision transparency

Key Priorities

  • UNIFY: Create integrated AI platform strategy across business
  • ACCELERATE: Prioritize AI-powered client experience solutions
  • GOVERN: Establish comprehensive AI ethics framework
  • TALENT: Build specialized AI product management capabilities