{"id":10962,"date":"2022-07-20T17:44:50","date_gmt":"2022-07-20T12:14:50","guid":{"rendered":"http:\/\/ivyproschool.com\/blog\/?p=10962"},"modified":"2024-10-01T17:05:55","modified_gmt":"2024-10-01T11:35:55","slug":"types-of-data-analytics","status":"publish","type":"post","link":"https:\/\/ivyproschool.com\/blog\/types-of-data-analytics\/","title":{"rendered":"What Are the 4 Types of Data Analytics"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"10962\" class=\"elementor elementor-10962\">\n\t\t\t\t\t\t<div class=\"elementor-inner\">\n\t\t\t\t<div class=\"elementor-section-wrap\">\n\t\t\t\t\t\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-852a1dc elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"852a1dc\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t\t\t<div class=\"elementor-row\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-7942967 jltma-glass-effect-no\" data-id=\"7942967\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-column-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-560ae78 jltma-glass-effect-no elementor-widget elementor-widget-image\" data-id=\"560ae78\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-image\">\n\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1080\" height=\"608\" src=\"https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2022\/07\/4-types-of-data-analytics-1080x608.png\" class=\"attachment-large size-large wp-image-11073\" alt=\"4 main types of data analytics\" srcset=\"https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2022\/07\/4-types-of-data-analytics-1080x608.png 1080w, https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2022\/07\/4-types-of-data-analytics-300x169.png 300w, https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2022\/07\/4-types-of-data-analytics-150x84.png 150w, https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2022\/07\/4-types-of-data-analytics-768x432.png 768w, https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2022\/07\/4-types-of-data-analytics-1536x864.png 1536w, https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2022\/07\/4-types-of-data-analytics.png 1920w\" sizes=\"auto, (max-width: 1080px) 100vw, 1080px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-c956923 elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"c956923\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t\t\t<div class=\"elementor-row\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-3c66789 jltma-glass-effect-no\" data-id=\"3c66789\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-column-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-56016f4 jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"56016f4\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-text-editor elementor-clearfix\">\n\t\t\t\t<p>Data analytics is all about collecting and analyzing raw data to find valuable patterns and insights that answer questions or solve problems. This helps businesses make smart decisions, improve efficiency, increase customer satisfaction, and drive more revenue.<\/p><p>If you want to master <a href=\"https:\/\/ivyproschool.com\/blog\/what-is-data-analytics\/\">data analytics<\/a>, you must know the different types of data analytics employed in industries. So, in this post, we will discuss the four main data analytics types in detail with examples. You will understand what they are, how they differ from each other, and why they are important.<\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-afcc0f9 elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"afcc0f9\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t\t\t<div class=\"elementor-row\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-c444600 jltma-glass-effect-no\" data-id=\"c444600\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-column-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-22f2fa9 jltma-glass-effect-no elementor-widget elementor-widget-heading\" data-id=\"22f2fa9\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-medium\">4 Types of Data Analytics You Must Know About<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-9f01fc3 elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"9f01fc3\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t\t\t<div class=\"elementor-row\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-2cc50d6 jltma-glass-effect-no\" data-id=\"2cc50d6\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-column-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-9be2b05 jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"9be2b05\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-text-editor elementor-clearfix\">\n\t\t\t\t<p>There are four main types of data analytics: descriptive, diagnostic, predictive, and prescriptive analytics. Each of them answers a certain question that helps businesses better understand the past, present, and future and take smart actions to achieve their goals. Let\u2019s understand them in detail:<\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-79af084 elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"79af084\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t\t\t<div class=\"elementor-row\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-4d22320 jltma-glass-effect-no\" data-id=\"4d22320\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-column-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-9bbc569 jltma-glass-effect-no elementor-widget elementor-widget-image\" data-id=\"9bbc569\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-image\">\n\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"700\" height=\"500\" src=\"https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2022\/07\/types-of-data-analytics.png\" class=\"attachment-large size-large wp-image-11028\" alt=\"There are four main types of data analytics: descriptive, diagnostic, predictive, and prescriptive analytics.\" srcset=\"https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2022\/07\/types-of-data-analytics.png 700w, https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2022\/07\/types-of-data-analytics-300x214.png 300w, https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2022\/07\/types-of-data-analytics-150x107.png 150w\" sizes=\"auto, (max-width: 700px) 100vw, 700px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-4106669 elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"4106669\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t\t\t<div class=\"elementor-row\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-3858875 jltma-glass-effect-no\" data-id=\"3858875\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-column-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-af01f70 jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"af01f70\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-text-editor elementor-clearfix\">\n\t\t\t\t<h3><b>1. Descriptive Analytics: \u201cWhat Happened?\u201d<\/b><\/h3><p>Descriptive analytics is the most basic type of data analytics currently used. It analyzes historical data to find out what has happened in the past or what is happening in the present.<\/p><p>It uses various techniques such as data aggregation, data mining, and reporting to spot patterns and trends over time. It may use arithmetic means to show an average of the values or frequency distribution to show how often a value occurs in the dataset.\u00a0<\/p><p>Descriptive analytics uses visualization techniques like creating charts and graphs to visually represent complex data, making it easy to identify trends.<\/p><p>\u00a0<\/p><p><b>Examples of Descriptive Analytics<\/b><\/p><p>Let\u2019s say you run an online store, and you want to know how much you sold in the last six months. So, you will use descriptive analytics to analyze monthly sales data and find peak sales periods and underperforming months. You can also identify top-selling products.\u00a0<\/p><p>Similarly, businesses can use descriptive analytics to analyze:<\/p><ul><li aria-level=\"1\">Financial data to understand profitability.<\/li><li aria-level=\"1\">Social media engagement data to identify which posts got the maximum likes.<\/li><li aria-level=\"1\">Customer feedback data to understand customer satisfaction levels.<\/li><\/ul><p>\u00a0<\/p><h3><b>2. Diagnostic Analytics: \u201cWhy did it Happen?\u201d<\/b><\/h3><p>Diagnostic analytics helps us go further than descriptive analytics. Now that we already know what has happened, diagnostic analytics helps us answer the valuable question, \u201cWhy did it happen?\u201d That means we understand the cause of the trends and patterns we just found in the descriptive analytics.<\/p><p>You may use different methods like drill-down analysis, correlation analysis, Pareto analysis, fishbone diagram, hypothesis testing, etc., to effectively understand the cause of an event. This way, businesses can identify areas of improvement and make better strategies.<\/p><p>\u00a0<\/p><p><b>Examples of Diagnostic Analytics<\/b><\/p><p>Let\u2019s say in the above sales report, you found that a particular month had significantly low sales. So, you use diagnostic analysis and find the cause: you had low product stock and couldn\u2019t meet the customer demand effectively.<\/p><p>Similarly, businesses may use diagnostic analytics to find out:<\/p><ul><li aria-level=\"1\">Why employers are quitting their jobs\u00a0<\/li><li aria-level=\"1\">Why customers are leaving them and choosing their competitors<\/li><li aria-level=\"1\">What causes delays in production, and what are the bottlenecks in the supply chain<\/li><\/ul><p>When you know the problem and why it\u2019s happening, you will be able to find effective solutions to make things better. Now, let\u2019s move to our third type of data analytics:<\/p><p>Related: <a href=\"https:\/\/ivyproschool.com\/blog\/data-scientist-vs-data-analyst\/\">Data Scientist vs. Data Analyst<\/a><\/p><p>\u00a0<\/p><h3><b>3. Predictive Analytics: \u201cWhat will Happen?\u201d<\/b><\/h3><p>Now, we are getting into advanced analysis. Predictive analytics uses historical data, statistical models, and machine learning algorithms to figure out what may happen in the future. It can predict future events, trends, outcomes, and behaviors that may affect the business performance.\u00a0<\/p><p>Techniques used in this type of data analytics can be time series analysis to identify patterns, regression analysis to identify relationships between variables, or decision trees to represent the decision-making process and predict outcomes. The idea is that once you know what will happen, you can better prepare for the challenges and get ready to take advantage of opportunities.<\/p><p>\u00a0<\/p><p><b>Examples of Predictive Analytics<\/b><\/p><p>Coming back to our online store example, let\u2019s say you found that you had low sales because of an inventory shortage. Now you want to fix this problem. So, you may use predictive analytics to forecast the demand for various products. This way, you can have optimal inventory levels to meet the demand, avoiding inventory shortage as well as overstocking.<\/p><p>Predictive analytics can also be used to:<\/p><p>\u00a0<\/p><ul><li aria-level=\"1\">Create high-precision weather forecasts<\/li><li aria-level=\"1\">Select the most talented players and make a strong team<\/li><li aria-level=\"1\">Predict when a machine needs maintenance to avoid breakdown<\/li><li aria-level=\"1\">Recommend products to users based on their preferences and past behaviors.<\/li><\/ul><p>\u00a0<\/p><h3><b>4. Prescriptive Analytics: \u201cHow to Make it Happen?\u201d<\/b><\/h3><p>This is the most advanced type of data analysis that combines descriptive, diagnostic, and predictive analytics. It helps us find out what actions we should take to avoid an undesirable outcome or achieve a desirable outcome.<\/p><p>So, the goal of prescriptive analysis is to provide actionable recommendations. It may use techniques like optimization modeling to find the best solution with given constraints, simulation to evaluate different scenarios, or <a href=\"https:\/\/ivyproschool.com\/blog\/advantages-and-disadvantages-of-artificial-intelligence\/\">artificial intelligence<\/a> techniques to automate decision-making processes.<\/p><p>\u00a0<\/p><p><b>Examples of Prescriptive Analytics<\/b><\/p><p>You used predictive analytics to find the demand forecasts. Now, prescriptive analytics goes further by recommending specific actions to achieve the maximum sales. It suggests how to optimize inventory based on predicted demand, supply chain factors, and business goals. You will also know how much inventory to order and when to order it.<\/p><p>You can also use prescriptive analytics to find actionable insights for these questions:<\/p><ul><li aria-level=\"1\">What should be the ideal price considering demand, competition, and market conditions?<\/li><li aria-level=\"1\">Which social media platform is best for your business, and when should you post?<\/li><li aria-level=\"1\">What adjustments in production processes can minimize waste and increase efficiency?<\/li><li aria-level=\"1\">What adjustments in the loan portfolio can lower risk while increasing the reward?<\/li><\/ul><p>\u00a0<\/p><h2><b>Summing Up<\/b><\/h2><p>Now you know the four types of data analytics and how they depend on each other. The goal of data analytics is to help businesses identify areas for improvement, increase efficiency, and enhance processes. That\u2019s why data analysts are in demand in the current industry.<\/p><p>If you want to be a data analyst, you can join Ivy Professional School\u2019s Data Analytics Certification course. This is a live online program taught by industry professionals from IIT, IIM, and US universities. You will learn to use tools like Excel, SQL, Python, R, and Tableau with 50+ assignments, 30+ case studies, &amp; 10+ industry projects. Visit this <a href=\"https:\/\/ivyproschool.com\/business-analytics-course\/?utm_source=organic&amp;utm_campaign=blog&amp;utm_term=%7bkeyword%7d\">course page<\/a> to learn more about it.<\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-7f6b75f elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"7f6b75f\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t\t\t<div class=\"elementor-row\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-5167427 jltma-glass-effect-no\" data-id=\"5167427\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-column-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c379e23 elementor-widget-divider--view-line jltma-glass-effect-no elementor-widget elementor-widget-divider\" data-id=\"c379e23\" data-element_type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-top-section elementor-element elementor-element-7abae0d3 elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"7abae0d3\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t\t\t<div class=\"elementor-row\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-9a005c5 jltma-glass-effect-no\" data-id=\"9a005c5\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-column-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t<section class=\"has_ma_el_bg_slider elementor-section elementor-inner-section elementor-element elementor-element-2c6e188f elementor-section-boxed elementor-section-height-default elementor-section-height-default jltma-glass-effect-no\" data-id=\"2c6e188f\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t\t\t<div class=\"elementor-row\">\n\t\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-33 elementor-inner-column elementor-element elementor-element-378aea3a jltma-glass-effect-no\" data-id=\"378aea3a\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-column-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-44ad34e4 jltma-glass-effect-no elementor-widget elementor-widget-image\" data-id=\"44ad34e4\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-image\">\n\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"200\" height=\"200\" src=\"https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2024\/06\/author.jpg\" class=\"attachment-large size-large wp-image-12168\" alt=\"\" srcset=\"https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2024\/06\/author.jpg 200w, https:\/\/ivyproschool.com\/blog\/wp-content\/uploads\/2024\/06\/author-150x150.jpg 150w\" sizes=\"auto, (max-width: 200px) 100vw, 200px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"has_ma_el_bg_slider elementor-column elementor-col-66 elementor-inner-column elementor-element elementor-element-38a9d4bb jltma-glass-effect-no\" data-id=\"38a9d4bb\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-column-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t<div class=\"elementor-widget-wrap\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-495f2ac6 jltma-glass-effect-no elementor-widget elementor-widget-text-editor\" data-id=\"495f2ac6\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-text-editor elementor-clearfix\">\n\t\t\t\t<p>Eeshani Agrawal holds an MS in Civil Engineering from Texas A&amp;M University (USA) and has over 16 years of experience in data visualization, storytelling, and analytics. She has consulted for top engineering, manufacturing, and consulting firms worldwide and has coached over 9,000 professionals and students from leading institutions like IITs, IIMs, and ISI.<\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Data analytics is all about collecting and analyzing raw data to find valuable patterns and insights that answer questions or solve problems. This helps businesses make smart decisions, improve efficiency, increase customer satisfaction, and drive more revenue. If you want to master data analytics, you must know the different types of data analytics employed in industries. So, in this post, we will discuss the four main data analytics types in detail with examples. You will understand what they are, how they differ from each other, and why they are important. 4 Types of Data Analytics You Must Know About There are four main types of data analytics: descriptive, diagnostic, predictive, and prescriptive analytics. Each of them answers a certain question that helps businesses better understand the past, present, and future and take smart actions to achieve their goals. Let\u2019s understand them in detail: 1. Descriptive Analytics: \u201cWhat Happened?\u201d Descriptive analytics is the most basic type of data analytics currently used. It analyzes historical data to find out what has happened in the past or what is happening in the present. It uses various techniques such as data aggregation, data mining, and reporting to spot patterns and trends over time. It [&hellip;]<\/p>\n","protected":false},"author":1001952,"featured_media":11073,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5],"tags":[43,367,898,230,504,897],"class_list":["post-10962","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-data-analytics","tag-big-data","tag-data-analysis","tag-data-analytic-jobs","tag-data-analytics","tag-machine-learning","tag-types-of-data-analytics"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>What Are the 4 Types of Data Analytics<\/title>\n<meta name=\"description\" content=\"Types of data analytics: 1. Descriptive analytics 2. Diagnostic analytics 3. Predictive analytics, and 4. Prescriptive analytics. Let\u2019s understand them in detail.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ivyproschool.com\/blog\/types-of-data-analytics\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What Are the 4 Types of Data Analytics\" \/>\n<meta property=\"og:description\" content=\"Types of data analytics: 1. Descriptive analytics 2. Diagnostic analytics 3. Predictive analytics, and 4. Prescriptive analytics. 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