Overview: 8
Enterprise Data & Technology Strategy

Data & Technology is one of the five pillars in S&P Global’s strategic framework. S&P Global’s technology and data capabilities are accelerating innovation and the ability to launch new products. Our strategy delivers an efficient and consistent path to our data assets thereby streamlining data consumption for our customers, which improves marketing techniques and optimizes the customer experience.

S&P Global is also building artificial intelligence solutions that unlock the critical insights hidden in data that power many of the workflows across the enterprise internally and allow our customers to make faster and more informed decisions.

Enterprise Data & Technology Strategy

S&P Global is connecting differentiated data and leading technologies to build digital ecosystems and essential solutions.

Data & Technology Priorities

  • Accelerate Innovation
  • Deploy AI and Machine Learning
  • Optimize Technology Spend
  • Execute Merger Integration
  • Enable Synergies
  • Enhance Data Governance
  • Ensure Regulatory Compliance

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 into product development to enhance information protection

Cloud

  • Leveraging our relationship with Amazon to migrate and modernize existing assets:  moving them from data center into cloud, reducing cost and time-to-market 
  • Building applications that are cloud native
  • Reducing data center footprint
  • Business Initiative & Strategy
  • Investing in innovation to provide the best customer service
  • Governance
  • Overseeing processes that provide cost transparency and greater security and reduce risk 

Artificial Intelligence

  • Natural-Language Processing (NLP) & Large Language Models (LLM)
  • Our data contains unique insights not available to models trained on public data
  • Build new customer experiences by translating, predicting, and answering using LLMs
Data Is Our Enterprise Asset
  • Our data is comprehensive and spans many domains
  • Strong data governance, lineage, and quality functions drive innovation and differentiation

Agile Workflow and Automation

  • Work closely with business and customers to deliver better products
  • Iterating through the product life cycle to deliver faster to the market
  • Creating common capabilities that can be reused across the organization for more efficiency