Data science and Service: Difference between pages

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''Information technology - big data - data mining.''
1. ''Debt.''  
 
To make payments of interest and principal on a borrowing as they fall due.
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.
 
 
:<span style="color:#4B0082">'''''Modern treasurers need to be tech-savvy'''''</span>
 
:"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''


2. ''Pensions.''
A period of employment by an employee with an employer which counts towards pension benefit accrual.


== See also ==
== See also ==
*[[Algorithm]]
* [[Pensionable service]]
*[[Analytics]]
*[[Artificial intelligence]]
*[[Big data]]
*[[Dashboard]]
*[[Data mining]]
* [[Data scraping]]
*[[General Data Protection Regulation]]
*[[Granular]]


[[Category:The_business_context]]
[[Category:Identify_and_assess_risks]]
[[Category:Manage_risks]]
[[Category:Risk_frameworks]]
[[Category:Risk_reporting]]
[[Category:Technology]]

Revision as of 14:20, 23 October 2012

1. Debt. To make payments of interest and principal on a borrowing as they fall due.

2. Pensions. A period of employment by an employee with an employer which counts towards pension benefit accrual.

See also