Barclays and S&P Global Inc. signed a multi-year data and analytics deal that will grant the banking giant full access to S&P’s Capital IQ Pro platform along with its research, data and analytics across equities, fixed income, credit and derivatives.
Likewise, Barclays will feed its own pricing and valuation data into S&P Global’s cross-asset services to help boost coverage and accuracy for bonds, loans, credit instruments and derivatives.
S&P Global equips Barclays with high quality and trusted data
The strategic agreement marks an exciting milestone that further strengthens a relationship between two deeply trusted and longstanding institutions, said Sally Moore, chief client officer at S&P Global.
“Through this agreement, we are empowering the Barclays enterprise to access our world-class research, data and solutions, including full access to S&P Capital IQ, enabling deeper insights and accelerating innovation in an ever-evolving market.”
Stephen Dainton, president of Barclays Bank PLC and head of investment bank management, commented: “We are delighted to execute this strategic deal with S&P Global, a trusted long-term partner of Barclays. S&P’s unique data, scale and commitment to innovation will enable Barclays to continue executing against our business strategy. Barclays is committed to helping clients navigate rapidly shifting market conditions – providing them with liquidity and expert advice.”
S&P aims to equip Barclays with the highest quality and most trusted data to help serve its customers and accelerate is digital transformation, added Saugata Saha, chief enterprise data officer at S&P Global and president of S&P Global Market Intelligence.
“Behind the power of S&P Capital IQ, and S&P Global’s vast data estate, we look forward to building on our longstanding relationship to drive smarter insights and unlock greater opportunities for growth and innovation.”
What is data?
Data is the foundation of most modern business transformation programs. Through data, organizations gain valuable insights that can be applied to drive improved outcomes. There are various types of data that organizations collect, which generally fall into two main groups: qualitative and quantitative.
More specifically, big data is used to achieve digital transformation across industries, ranging from healthcare to supply chain. Businesses use big data analytics tools to gain deeper insights into customer behavior and boost how well they operate.
The main types of big data include transactional data (like sales records), machine data (from sensors and IoT devices), social data (from social media) and text data (from emails and documents).
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