Talk:Data mining

The jargon "analytics", which could mean any sort of analysis whatsoever, appears to be trying to monopolise a generic English word for a very specific topic, hiding the real meaning. I think that any useful content there could be merged either into this article, data mining, or maybe rather Examples of data mining, since the content seems to be more about specific examples of data mining, under the name "analytics", rather than about the methods of data mining themselves. Another possible target for a merger would be Data analysis. In any case, Analytics is clearly quite poor quality currently, full of businessy jargon trying to pretend that as long as enough people follow the fashion, you can pretend that there's some new meaning there. Please state support or oppose in bold; if support, then please state which target article (data mining, examples of data mining, or data analysis) you recommend for the merger of analytics (we should in principle add {{merge from}} templates to those target articles too...) Boud (talk) 15:03, 30 June 2022 (UTC)Reply

Support merging the Analytics#Applications section with Examples of data mining into a more encyclopedic Applications of data mining. I think the subsections there would complement the disjointed lists of examples making up Examples of data mining currently.

Then I would redirect Analytics to Data analysis. I think that the Analytics buzzword is intended to have a broader scope than Data mining (at least according to my reading of the convoluted Analytics#Analytics vs analysis section), which makes Data analysis a better redirect target. Felix QW (talk) 09:56, 2 July 2022 (UTC)Reply

Oppose It sounds like you are POV-pushing against the use of business jargon. It's better to remain neutral and just summarize the sources. Analytics is a broad term according to Gartner[1], but it is always almost used in a business context. My guess (I haven't performed a proper WP:BEFORE search) is that there is probably enough sourcing out there for a standalone article on the topic. But if editors come to consensus for a merge, then analytics is one aspect of Business intelligence and is better merged there. --{{u|Mark viking}} {Talk} 23:08, 3 July 2022 (UTC)Reply

I am certainly pushing in favour of Wikipedia being an encylopaedia, with entries of knowledge about the real world. Words that are common but meaningless make more sense in the Wiktionary. Boud (talk) 20:33, 3 July 2022 (UTC)Reply

It seems you have contempt for the business world and its jargon, and that is compromising your objectivity with respect to this topic. The encyclopedia is better served by editors summarizing reliable sources, not injecting their personal opinions into article content. Show some reliable sources that say analytics is meaningless and those that coined the term are nefariously trying to monopolize an English word, and we could add that criticism to the article. But it's also clear that there is a population of business folk, such as business analysts and consultants, who use this term and find it useful for charactering various forms of business intelligence. Summarizing their approach using RS is the best approach to developing this article. --{{u|Mark viking}} {Talk} 23:08, 3 July 2022 (UTC)Reply

Hostility towards business sources does make sense to me (at least hostility towards ONLY using business sources, which is currently the case in the data analytics article). Data analysis is a broad scientific field and should not be defined solely by people who have a clear incentive to generate novel definitions at cost of sensibility. 98.43.49.101 (talk) 20:02, 21 October 2022 (UTC)Reply

Oppose as the term "analytics" has evolved into a catch-all term for analysis of information. It seems that any person who applies information analysis to their domain can be considered to be doing "analytics." Although analytics has increasingly moved towards a role of describing statistical information in the business sphere, [2] it would not make sense as an "example of data mining" as all processes of data mining would include techniques in analytics. Meanwhile, IT and business users share interest in analytics departments, which might best make sense as an aspect of Business Intelligence, as @Mark viking mentioned. ZacharyWalkerPinto (talk) 15:58, 4 July 2022 (UTC)Reply

Oppose, the article "data mining" is more on the academic use; analytics is business jargon. Or to put it differently, one is about the methodology, the other about the business purpose, and the third is on example applications. One of the reasons to create examples of data mining in the first place was to make the article less crowded with a rather useless list of examples (that attracts a lot of spam). Maybe move the more concrete applications from Analytics there, too. Chire (talk) 23:48, 6 July 2022 (UTC)Reply