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Everything about Analytics

Discovery, interpretation, and communication of meaningful patterns in data

Analytics is the systematic computational analysis of data or statistics. It is used for the discovery, interpretation, and communication of meaningful patterns in data, which also falls under and directly relates to the umbrella term, data science. Analytics also entails applying data patterns toward effective decision-making. It can be valuable in areas rich with recorded information; analytics relies on the simultaneous application of statistics, computer programming, and operations research to quantify performance. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: AnalyticsA 5-minute orientation
  2. Skim a recent paper: Red analytical performance index (RAPI) and software: the missing tool for assessing methods in terms of analytical performanceInfluential work since 2022
  3. Pick up a classic book: 5 Keys to Business Analytics Program SuccessThe most-reprinted book on the subject
  4. Read the landmark paper: AGREE─Analytical GREEnness Metric Approach and SoftwareCited 4,081 times
  5. Go sideways: Business intelligenceA closely related topic
  6. Go sideways: Prescriptive analyticsA closely related topic

📖 Definitions

No dictionary entry for this exact phrase.

🗂️ The subject at a glance

  1. Analytics vs analysis
  2. Applications
  3. Challenges

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics