Editing Analytics (section)

== Analytics vs analysis ==
{{Confusing section|reason=it is still not clear what the difference between analytics and analysis is|small=no|date=March 2018}}[[Data analysis]] focuses on the process of examining past data through business understanding, data understanding, data preparation, modeling and evaluation, and deployment.<ref name=":0">{{Cite book|last=Kelleher|first=John D.|url=https://www.worldcat.org/oclc/1162184998|title=Fundamentals of machine learning for predictive data analytics : algorithms, worked examples, and case studies|date=2020|others=Brian Mac Namee, Aoife D'Arcy|isbn=978-0-262-36110-1|edition=2|location=Cambridge, Massachusetts|pages=16|oclc=1162184998}}</ref> It is a subset of data analytics, which takes multiple data analysis processes to focus on why an event happened and what may happen in the future based on the previous data.<ref>{{cite web|last1=Park|first1=David|title=Analysis vs. Analytics: Past vs. Future|url=https://www.eetimes.com/analysis-vs-analytics-past-vs-future/|access-date=January 20, 2021|website=EE Times|date=August 28, 2017 |archive-date=January 29, 2021|archive-url=https://web.archive.org/web/20210129075027/https://www.eetimes.com/analysis-vs-analytics-past-vs-future/|url-status=live}}</ref>{{Unreliable source?|date=January 2022}} Data analytics is used to formulate larger organizational decisions. {{Citation needed|date=January 2022}}

Data analytics is a [[Academic discipline|multidisciplinary]] field. There is extensive use of computer skills, mathematics, statistics, the use of descriptive techniques and predictive models to gain valuable knowledge from data through analytics.{{cn|date=September 2023}} There is increasing use of the term ''advanced analytics'', typically used to describe the technical aspects of analytics, especially in the emerging fields such as the use of [[machine learning]] techniques like [[Artificial neural network|neural networks]], decision trees, logistic regression, linear to multiple [[regression analysis]], and classification to do [[predictive modeling]].<ref name="forbes2">{{cite web|title=AI, Big Data & Advanced Analytics In The Supply Chain|url=https://www.forbes.com/sites/yasamankazemi/2019/01/29/ai-big-data-advanced-analytics-in-the-supply-chain/#13da8727244f|access-date=April 16, 2020|work=[[Forbes.com]]|archive-date=June 23, 2022|archive-url=https://web.archive.org/web/20220623114612/https://www.forbes.com/sites/yasamankazemi/2019/01/29/ai-big-data-advanced-analytics-in-the-supply-chain/#13da8727244f|url-status=live}}</ref><ref name=":0" /> It also includes [[Unsupervised learning|unsupervised machine learning techniques]] like [[cluster analysis]], [[principal component analysis]], segmentation profile analysis and association analysis.{{cn|date=August 2023}}