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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
@
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
Suggesting adding "Health Analytics" section
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.
^Dinov, ID. (2018). "Motivation". Data Science and Predictive Analytics: Biomedical and Health Applications using R. Cham, Switzerland: Springer, Computer Science.
ISBN978-3-319-72346-4.
Sources
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
This article is within the scope of WikiProject Statistics, a collaborative effort to improve the coverage of
statistics on Wikipedia. If you would like to participate, please visit the project page, where you can join
the discussion and see a list of open tasks.StatisticsWikipedia:WikiProject StatisticsTemplate:WikiProject StatisticsStatistics articles
This article is within the scope of WikiProject Mathematics, a collaborative effort to improve the coverage of
mathematics on Wikipedia. If you would like to participate, please visit the project page, where you can join
the discussion and see a list of open tasks.MathematicsWikipedia:WikiProject MathematicsTemplate:WikiProject Mathematicsmathematics articles
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Computer science related articles on Wikipedia. If you would like to participate, please visit the project page, where you can join
the discussion and see a list of open tasks.Computer scienceWikipedia:WikiProject Computer scienceTemplate:WikiProject Computer scienceComputer science articles
This article is within the scope of WikiProject Computing, a collaborative effort to improve the coverage of
computers,
computing, and
information technology on Wikipedia. If you would like to participate, please visit the project page, where you can join
the discussion and see a list of open tasks.ComputingWikipedia:WikiProject ComputingTemplate:WikiProject ComputingComputing articles
This article is within the scope of WikiProject Marketing & Advertising, a collaborative effort to improve the coverage of
Marketing on Wikipedia. If you would like to participate, please visit the project page, where you can join
the discussion and see a list of open tasks.Marketing & AdvertisingWikipedia:WikiProject Marketing & AdvertisingTemplate:WikiProject Marketing & AdvertisingMarketing & Advertising articles
This article is within the scope of WikiProject Systems, which collaborates on articles related to
systems and
systems science.SystemsWikipedia:WikiProject SystemsTemplate:WikiProject SystemsSystems articles
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
@
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
Suggesting adding "Health Analytics" section
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.
^Dinov, ID. (2018). "Motivation". Data Science and Predictive Analytics: Biomedical and Health Applications using R. Cham, Switzerland: Springer, Computer Science.
ISBN978-3-319-72346-4.
Sources
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