Overview: 6
Enterprise Data & Technology Strategy

Data & Technology are crucial to S&P Global and our customers’ success, enabling growth and transformation

Our strategy leverages robust data assets and advanced technology, including artificial intelligence, to enhance information consumption and optimize customer experience. Digital Solutions is central to our mission, fostering innovation and excellence. We are dedicated to commercial transformation by enabling new tools and technology, empowering stakeholders to operate with agility. By ensuring the integrity of our systems and data, we maintain seamless operations and lead in technological advancement for our organization and customers.

Unlocking Greater Value Through Data & Technology

Foundational Levers

Cyber & Risk

  • Enable business teams to make risk-informed decisions
  • Invest in Defense-in-Depth Protection and develop threat-aligned recovery capabilities
  • Integrate risk management and security operation model into a foundational capability
  • Embed security in product development to enhance information protection

Cloud

  • Expand cloud-native mindset and leverage strategic relationships to migrate, modernize, increase speed-to-market, and drive efficiencies
  • Leveraging cloud to modernize and support native distribution of data and product assets through cloud marketplaces channels
  • Investing in innovative capabilities to provide the best customer service

Artificial Intelligence

  • Transforming the customer experience through next-generation AI-powered interfaces. Build new customer experiences by translating, predicting, and answering using LLMs
  • Amplify productivity for our team members
  • Create and support the development of AI-ready data products
  • Foster growth opportunities and enable the creation of valuable insights from existing data assets
  • Continuous learning and upskilling to ensure all team members are prepared for the future of work with GenAI

Data Is Our Enterprise Asset

  • Harmonize data for consistent enterprise-wide value creation
  • Strong data governance, lineage, and quality functions drive innovation and differentiation
  • Invest in metadata to drive AI readiness of our data

Product- Centric Delivery

  • Work closely with business and customers to deliver better products
  • Driving product enhancements based on improving the user experience
  • Shorten value delivery cycles for quicker adaptation to change and incremental improvement
  • Accelerate speed of delivery and improve delivery predictability for relevant product