{"id":3489,"date":"2015-03-23T14:23:03","date_gmt":"2015-03-23T14:23:03","guid":{"rendered":"https:\/\/charterglobal.com\/cg\/?p=3489"},"modified":"2025-06-11T08:00:52","modified_gmt":"2025-06-11T08:00:52","slug":"big-data-analytics-descriptive-predictive-and-prescriptive","status":"publish","type":"post","link":"https:\/\/www.charterglobal.com\/big-data-analytics-descriptive-predictive-and-prescriptive\/","title":{"rendered":"Understanding Your Business With Descriptive, Predictive And Prescriptive Analytics"},"content":{"rendered":"<p>Sole use of the term \u201cBig Data\u201d when describing analytics can be misleading. I see \u201cBig Data\u201d as collected raw material. That raw material isn\u2019t always a huge amount of data from a single source, but can be many different data sets from different resources. The \u201cInternet of Things\u201dwould be a great example.<\/p>\n<p>Having this large amount of raw data doesn\u2019t offer much value out of the box. However, when applying the correct analytics, we can extrapolate powerful insights.<\/p>\n<p>Some of the common questions that are asked are:<\/p>\n<ul class=\"green-check indent\">\n<li>Where do I begin?<\/li>\n<li>Are there different types of analytics?<\/li>\n<li>Which is most impactful for my environment?<\/li>\n<\/ul>\n<p>Understanding analytics and the associated tools can help answer these and many other questions. I will describe how these tools differ, as well as the value they provide.<\/p>\n<p>In its raw state, the data that we capture is indecipherable. However, the data we can conclude using analytics is indispensable. As you explore your data, you will begin to identify patterns at which point you can start to build your templates and analyze your data.<\/p>\n<h5>Descriptive Analytics:<\/h5>\n<p>Called the \u201csimplest class of analytics\u201d, descriptive analytics allows you to condense big data into smaller, more useful bits of information or a summary of what happened.<\/p>\n<p>It has been estimated that more than 80% of business analytics (e.g. social analytics) are descriptive. Some social data could include the number of posts, fans, followers, page views, check-ins,pins, etc. It would appear to be an endless list if we tried to list them all.<\/p>\n<h5>Predictive Analytics:<\/h5>\n<p>Predictive analytics is the next step up in data reduction. It utilizes a variety of statistical, modeling, data mining and machine learning techniques to study recent and historical data, thereby allowing analysts to make predictions about the future.<\/p>\n<p>Think of an actuary for an insurance company. They take the raw data and provide the percentage or chance that an event (e.g. crash) can occur. Although we use the name predictive, predictive analytics can only forecast what might happen in the future; it cannot predict the future.<\/p>\n<p>In the most general cases of predictive analytics, \u201cyou basically take data that you have to predict data that you don\u2019t have\u201d.<\/p>\n<h5>Prescriptive Analytics:<\/h5>\n<p>Prescriptive analytics goes above and beyond the previous tools by predicting not one possible future, but rather \u201cmultiple futures\u201d based on the decision-maker\u2019s potential actions. By showing the likely outcome of each decision, the decision-maker can take this information and execute. Additionally, it can recommend the best course of action for any pre-specified outcome.<\/p>\n<p>Prescriptive analytics requires two additional components: 1) actionable data and 2) a feedback system that tracks the outcome produced by the action taken. This ultimately aids in capturing more data to analyze and adjust the action to provide more accurate results.<\/p>\n<p>This is a very high level explanation of Big Data Analytics as I understand them.I welcome any feedback or perspective<\/p>\n<p>If you have a question for our experts, please leave us a comment below, visit our site\u00a0<a class=\"blue\" href=\"https:\/\/charterglobal.com\/\">https:\/\/charterglobal.com\/<\/a>\u00a0or email our team directly at\u00a0<a class=\"blue\" href=\"mailto:marketing@charterglobal.com\">marketing@charterglobal.com<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Sole use of the term \u201cBig Data\u201d when describing analytics can be misleading. I see \u201cBig Data\u201d as collected raw material. That raw material isn\u2019t [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[834],"tags":[62,18,63,64,65,66,67,68],"class_list":["post-3489","post","type-post","status-publish","format-standard","hentry","category-big-data","tag-algorithms","tag-big-data","tag-big-data-strategy","tag-data","tag-descriptive-analytics","tag-organizations","tag-predictive-analytics","tag-prescriptive-analytics"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.8 (Yoast SEO v27.8) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Big Data Analytics: Descriptive, Predictive &amp; Prescriptive Types<\/title>\n<meta name=\"description\" content=\"Understand the three big data analytics types\u2014descriptive, predictive, and prescriptive\u2014and how they help businesses 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