Talk:Analytics

Is a distinction between Analytics and Analysis really needed? — Preceding unsigned comment added by 89.197.157.46 (talk) 15:21, 12 July 2019 (UTC)Reply

There is a distinction between analysis and analytics. Both terms are data-driven. However, analytics is a much broader term that includes analysis, but starts first with (data) wrangling, pre-processing, then analysis, and also includes modeling, inference, and visualization. 141.213.169.143 (talk) 21:01, 1 October 2019 (UTC)Reply

I personally still could not see a difference. I honestly think this article should be merged with data analysis. Tommyren (talk) 17:51, 27 December 2021 (UTC)Reply

Source #4, the David Park article, says that analysis is a subset of analytics. However, this website (https://www.watershedlrs.com/blog/business-and-data-alignment/difference-between-analytics-and-analysis/#:~:text=While%20analytics%20and%20analysis%20are,the%20systematic%20examination%20of%20data.) seems to suggest just the opposite. Neither sources seem particularly reliable, as they do not come from peer-reviewed or particularly renowned sources. Tommyren (talk) 15:13, 7 January 2022 (UTC)Reply

@Tommyren: See Talk:Data mining#Merge Analytics into Data mining. I have analytically taken up the challenge of being innovatively positively proactively active in suggesting a strategic decision to maximise performance results of this set of Wikipedia pages. If the previous sentence sounds like nonsense, then just see the merge proposal. :) Boud (talk) 15:14, 30 June 2022 (UTC)Reply

The only substantive difference between analytics and analysis is that "analysis" is the active contemplation of information, without regard for its source, and "analytics" is at its root the analysis of data-information encoded in some media from which it can subsequently be read.

In practical terms analytics is shorthand for data analysis. One of the problems with the nomenclature is the influence of marketeering that seeks to, and has largely been successful at, framing analytics as encompassing the universe of electronic data-processing technologies and their applications.

Proponents of large, complex, complicated technology-based data manipulation & sophisticated analysis, e.g. statistical model-fitting, seek to frame analytics' essence in the broadest possible terms.

One of the largely unacknowledged truths of analytics is that, contrary to the conventional analytics paradigm, data analysis is the first, universal, and last, activity in all scenarios; nothing can happen with data until it is analyzed and understood to at least a reasonably robust degree, nothing of valuse can be done with it unless analysis of the inputs and outputs of every data-manipulation operation verify correctness, and no sense can be made of processed data except through its analysis. CGerrard (talk) 19:40, 9 December 2022 (UTC)Reply

It may be useful to add another section, Health Analytics, to the Analytics#Applications section. This could include an expansion of the following:

Health analytics is the process of translating biomedical data and healthcare information obtained in medical, biological, clinical, public health, and laboratory settings to relevant clinical decision-support information that can be used to diagnose disease, decide on medical treatments, and prognosticate health-related outcomes ^[1]. All health analytical systems rely on informatics, computer science, applied mathematics, computational statistics, model-based and model-free artificial intelligence, and machine learning techniques.

See also Health_care_analytics. 141.213.169.143 (talk) 21:01, 1 October 2019 (UTC)Reply

I added sources to some paragraphs, but there are still several points of information for which I could not find a reliable source. I am also not sure about the reliability of several sources. I added new tags for these issues. Tommyren (talk) 16:10, 17 January 2022 (UTC)Reply