Data science: Difference between revisions
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Data science is the systematic analysis of data to generate valuable insights. | Data science is the systematic analysis of data to generate valuable insights. | ||
Data science may include the use of algorithms, and be applied to relatively unstructured data and | Data science may include the use of algorithms, and be applied to relatively unstructured data, big data and data mining. | ||
:<span style="color:#4B0082">'''''Modern treasurers need to be tech-savvy'''''</span> | :<span style="color:#4B0082">'''''Modern treasurers need to be tech-savvy'''''</span> | ||
:"The modern treasurer’s skill set is anchored in data science and | :"The modern treasurer’s skill set is anchored in data science and predictive analytics, generating a dashboard of actionable insights from real-time data, which means that we need to understand good-quality data-employment technology." | ||
predictive analytics, generating a dashboard of actionable insights from real-time data, which means that we need to understand good-quality data-employment technology." | |||
:''The Treasurer, November 2021 - Issue 4, 2021, p15 - Kemi Bolarin, Head of Treasury Europe, GXO Logistics'' | :''The Treasurer, November 2021 - Issue 4, 2021, p15 - Kemi Bolarin, Head of Treasury Europe, GXO Logistics'' | ||
Revision as of 11:37, 1 December 2021
Information technology - big data - data mining.
Data science is the systematic analysis of data to generate valuable insights.
Data science may include the use of algorithms, and be applied to relatively unstructured data, big data and data mining.
- Modern treasurers need to be tech-savvy
- "The modern treasurer’s skill set is anchored in data science and predictive analytics, generating a dashboard of actionable insights from real-time data, which means that we need to understand good-quality data-employment technology."
- The Treasurer, November 2021 - Issue 4, 2021, p15 - Kemi Bolarin, Head of Treasury Europe, GXO Logistics
