Data science: Difference between revisions
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*[[Big data]] | *[[Big data]] | ||
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*[[Data mining]] | *[[Data mining]] | ||
* [[Data scraping]] | * [[Data scraping]] | ||
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*[[General Data Protection Regulation]] | *[[General Data Protection Regulation]] | ||
*[[Granular]] | *[[Granular]] | ||
Latest revision as of 12:27, 13 July 2022
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
