{"id":166760,"date":"2023-02-27T13:02:56","date_gmt":"2023-02-27T12:02:56","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=166760"},"modified":"2023-10-30T18:41:05","modified_gmt":"2023-10-30T17:41:05","slug":"data-analysis-definition-use-of-cases-and-tools","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/data-analysis-definition-use-of-cases-and-tools","title":{"rendered":"Data Analysis: Definition, use of cases and tools"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"166760\" class=\"elementor elementor-166760\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-103b9f6 e-flex e-con-boxed e-con\" data-id=\"103b9f6\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-02a5855 elementor-widget elementor-widget-text-editor\" data-id=\"02a5855\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p><span style=\"font-weight: 400;\">Data Analysis is increasingly used in companies in all sectors. Find out everything you need to know about it.<\/span><\/p><p><span style=\"font-weight: 400;\">Thanks to <\/span><b>digital technologies<\/b><span style=\"font-weight: 400;\">, companies now have access to vast amounts of data. Understanding and analyzing this information is a valuable asset.<\/span><\/p><p><span style=\"font-weight: 400;\">Data Analysis is the <\/span><b>process of cleaning, transforming, and modeling data<\/b><span style=\"font-weight: 400;\">. The objectives? To extract actionable information to make better decisions within a company.<\/span><\/p><p><span style=\"font-weight: 400;\">It is really about using the past and the present to make the right decisions for the future. This can be very<\/span><b> useful <\/b><span style=\"font-weight: 400;\">for the growth of a company, to develop new products or to find solutions to problems.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-bf2f345 e-flex e-con-boxed e-con\" data-id=\"bf2f345\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e6fa499 elementor-widget elementor-widget-heading\" data-id=\"e6fa499\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h3 class=\"elementor-heading-title elementor-size-default\">What is Data Analysis used for?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c857c82 elementor-widget elementor-widget-text-editor\" data-id=\"c857c82\" 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<p><span style=\"font-weight: 400;\">Data analysis is used by companies to make better decisions through <\/span><b>business intelligence<\/b><span style=\"font-weight: 400;\">. It can be used for market research, product development, market positioning, or to review customer opinions and feelings.<\/span><\/p><p><span style=\"font-weight: 400;\">In general, it allows you to make choices based on concrete elements rather than on intuition or other <\/span><b>abstract factors<\/b><span style=\"font-weight: 400;\">. By turning to data analysis, companies become <\/span><b>data-driven<\/b><span style=\"font-weight: 400;\">.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7230ae2 elementor-widget__width-initial elementor-widget elementor-widget-video\" data-id=\"7230ae2\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/www.youtube.com\\\/watch?v=qc4oWfpjnio&amp;list=PLbH8UGHWFlsTo6cG8Fgbgz0MWT7X4TGTW&amp;index=4&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-video .elementor-widget-container{overflow:hidden;transform:translateZ(0)}.elementor-widget-video .elementor-wrapper{aspect-ratio:var(--video-aspect-ratio)}.elementor-widget-video .elementor-wrapper iframe,.elementor-widget-video .elementor-wrapper video{height:100%;width:100%;display:flex;border:none;background-color:#000}@supports not (aspect-ratio:1\/1){.elementor-widget-video .elementor-wrapper{position:relative;overflow:hidden;height:0;padding-bottom:calc(100% \/ var(--video-aspect-ratio))}.elementor-widget-video .elementor-wrapper iframe,.elementor-widget-video .elementor-wrapper video{position:absolute;top:0;right:0;bottom:0;left:0}}.elementor-widget-video .elementor-open-inline .elementor-custom-embed-image-overlay{position:absolute;top:0;right:0;bottom:0;left:0;background-size:cover;background-position:50%}.elementor-widget-video .elementor-custom-embed-image-overlay{cursor:pointer;text-align:center}.elementor-widget-video .elementor-custom-embed-image-overlay:hover .elementor-custom-embed-play i{opacity:1}.elementor-widget-video .elementor-custom-embed-image-overlay img{display:block;width:100%;aspect-ratio:var(--video-aspect-ratio);-o-object-fit:cover;object-fit:cover;-o-object-position:center center;object-position:center center}@supports not (aspect-ratio:1\/1){.elementor-widget-video .elementor-custom-embed-image-overlay{position:relative;overflow:hidden;height:0;padding-bottom:calc(100% \/ var(--video-aspect-ratio))}.elementor-widget-video .elementor-custom-embed-image-overlay img{position:absolute;top:0;right:0;bottom:0;left:0}}.elementor-widget-video .e-hosted-video .elementor-video{-o-object-fit:cover;object-fit:cover}.e-con-inner>.elementor-widget-video,.e-con>.elementor-widget-video{width:var(--container-widget-width);--flex-grow:var(--container-widget-flex-grow)}<\/style>\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-85590d7 elementor-widget elementor-widget-spacer\" data-id=\"85590d7\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-column .elementor-spacer-inner{height:var(--spacer-size)}.e-con{--container-widget-width:100%}.e-con-inner>.elementor-widget-spacer,.e-con>.elementor-widget-spacer{width:var(--container-widget-width,var(--spacer-size));--align-self:var(--container-widget-align-self,initial);--flex-shrink:0}.e-con-inner>.elementor-widget-spacer>.elementor-widget-container,.e-con-inner>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer,.e-con>.elementor-widget-spacer>.elementor-widget-container,.e-con>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer{height:100%}.e-con-inner>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer>.elementor-spacer-inner,.e-con>.elementor-widget-spacer>.elementor-widget-container>.elementor-spacer>.elementor-spacer-inner{height:var(--container-widget-height,var(--spacer-size))}<\/style>\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-2864af1 e-flex e-con-boxed e-con\" data-id=\"2864af1\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-0cd44aa elementor-widget elementor-widget-heading\" data-id=\"0cd44aa\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What are the data analysis tools?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f87145b elementor-widget elementor-widget-text-editor\" data-id=\"f87145b\" 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<p><span style=\"font-weight: 400;\">There are many data analysis tools that allow users to process and manipulate data more easily. These tools can also be used to <\/span><b>analyze relationships<\/b><span style=\"font-weight: 400;\"> and correlations between data sets, or to find trends and patterns.<\/span><\/p><p><span style=\"font-weight: 400;\">There are a wide variety of Big Data tools. Examples include the programming languages <\/span><a href=\"https:\/\/datascientest.com\/en\/python-or-r-which-to-choose\"><b>Python and R<\/b><\/a><span style=\"font-weight: 400;\">, Talend and <\/span><a href=\"https:\/\/datascientest.com\/en\/apache-spark-its-functions-and-benefits\"><b>Apache Spark<\/b><\/a><span style=\"font-weight: 400;\">, ElasticSearch and Microsoft HDInsight.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-498a261 elementor-widget elementor-widget-spacer\" data-id=\"498a261\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-4f8d13a e-flex e-con-boxed e-con\" data-id=\"4f8d13a\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-361c824 elementor-widget elementor-widget-heading\" data-id=\"361c824\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Data Analysis: a process divided into four main steps\n<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a0391db elementor-widget elementor-widget-text-editor\" data-id=\"a0391db\" 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<p><span style=\"font-weight: 400;\">The data analysis process consists of <\/span><b>collecting raw data<\/b><span style=\"font-weight: 400;\"> using a tool or application to explore this information and discover trends. The results of these analyses can then be used to make better decisions. This process can be broken down into <\/span><b>several phases:<\/b><\/p><ol><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The first step is<\/span><b> data collection<\/b><span style=\"font-weight: 400;\">, from one or more sources. In order to choose which data to capture, it is important to set goals to be achieved through data analysis.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The data is then <\/span><b>cleaned and converted<\/b><span style=\"font-weight: 400;\"> into a format suitable for analysis. Without taking this precaution, the data may be useless or unusable. The data set must be cleaned to eliminate duplicates, and corrupted or erroneous information.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">The next step is <\/span><b>data analysis<\/b><span style=\"font-weight: 400;\">. Various tools and techniques are used to <\/span><b>discover trends<\/b><span style=\"font-weight: 400;\"> and relevant information in the raw data. During this stage, it may become apparent that more data will be needed. Therefore, it will be necessary to return to the first phase.<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">Finally, the last step consists of <\/span><b>generating reports and visualizations<\/b><span style=\"font-weight: 400;\"> in the form of diagrams or graphs so that they can be shared with the different teams in the company. Indeed, such visualizations are more easily understood and interpreted by the human brain than a simple succession of numbers&#8230;<\/span><\/li><\/ol>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1ac456f elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"1ac456f\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/datascientest.com\/en\/data-analyst-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Become Data Analyst with DataScientest<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-0e3cf3f e-flex e-con-boxed e-con\" data-id=\"0e3cf3f\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-f10d1bc elementor-widget elementor-widget-heading\" data-id=\"f10d1bc\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">The differents types and methods of data Analysis<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-917cb4d elementor-widget elementor-widget-text-editor\" data-id=\"917cb4d\" 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<p><span style=\"font-weight: 400;\">There are different types of data analysis. Here are the most commonly used methods and techniques:<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Text analysis<\/b><span style=\"font-weight: 400;\"> is used to discover patterns in large textual data sets. <\/span><b>Data mining tools<\/b><span style=\"font-weight: 400;\"> are used to transform raw data into strategic information.<\/span><\/li><\/ul><p>\u00a0<\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Statistical analysis<\/b><span style=\"font-weight: 400;\"> is the use of past data to understand the present, in the form of dashboards. This practice includes the collection, analysis, presentation and <\/span><b>modeling of data<\/b><span style=\"font-weight: 400;\">.<\/span><\/li><\/ul><p>\u00a0<\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><span style=\"font-weight: 400;\">A distinction is made between descriptive and inferential analysis. <\/span><b>Descriptive analysis<\/b><span style=\"font-weight: 400;\"> is the analysis of numerical data. <\/span><b>Inferential analysis<\/b><span style=\"font-weight: 400;\"> involves analyzing samples of data to draw different conclusions.<\/span><\/li><\/ul><p>\u00a0<\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Diagnostic analysis <\/b><span style=\"font-weight: 400;\">consists of understanding the causes of an event discovered through statistical analysis. It allows to <\/span><b>identify patterns of behavior<\/b><span style=\"font-weight: 400;\"> in the data in order to solve similar problems.<\/span><\/li><\/ul><p>\u00a0<\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Predictive analysis<\/b><span style=\"font-weight: 400;\"> is used to determine probable events, to predict the future using past or present data. These data are used to predict future probabilities. The <\/span><b>reliability<\/b><span style=\"font-weight: 400;\"> of these predictions depends on the amount of information available, its accuracy and the extent of its exploration.<\/span><\/li><\/ul><p>\u00a0<\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Prescriptive analysis<\/b><span style=\"font-weight: 400;\"> combines all the information from previous analyses to determine what action to take to solve a problem or make a decision.<\/span><span style=\"font-weight: 400;\"><br \/><\/span><span style=\"font-weight: 400;\">Many <\/span><b>data-driven companies<\/b><span style=\"font-weight: 400;\"> use prescriptive analytics because predictive or descriptive analytics are not good enough. It&#8217;s about <\/span><b>analyzing data<\/b><span style=\"font-weight: 400;\"> based on the current situation.<\/span><\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6dad15f elementor-widget elementor-widget-spacer\" data-id=\"6dad15f\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3b8a413 e-flex e-con-boxed e-con\" data-id=\"3b8a413\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-3500d9c elementor-widget elementor-widget-heading\" data-id=\"3500d9c\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Why is Big Data essential in a company today?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1849ae2 elementor-widget elementor-widget-text-editor\" data-id=\"1849ae2\" 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<p><span style=\"font-weight: 400;\">Customers are the purpose of any <\/span><b>B2C company<\/b><span style=\"font-weight: 400;\">. Knowing how they behave, what they want, when and how they search, is essential for a company to make the right decisions.<\/span><\/p><p><span style=\"font-weight: 400;\">In data mining, datasets are <\/span><b>classified<\/b><span style=\"font-weight: 400;\"> using sophisticated tools to identify repetitive patterns. From these, enough information is obtained for a data analysis expert to interpret and draw conclusions. As a result, managers can take actions and make decisions that are useful for the company. In this way, the <\/span><b>work is optimized<\/b><span style=\"font-weight: 400;\">.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">The <\/span><b>tools developed in this way<\/b><span style=\"font-weight: 400;\"> are responsible for massive, repetitive and automatic work. As for the <\/span><a href=\"https:\/\/datascientest.com\/en\/data-analyst-job-description\"><b>Data Analyst<\/b><\/a><span style=\"font-weight: 400;\">, he is in charge of what requires intelligence and knowledge.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1c0c30c elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"1c0c30c\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/datascientest.com\/en\/data-management-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Learn to manipulate and order Data<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-7294c48 e-flex e-con-boxed e-con\" data-id=\"7294c48\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9ce5089 elementor-widget elementor-widget-heading\" data-id=\"9ce5089\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Some examples of Data Analysis use in companies\n<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-db34166 elementor-widget elementor-widget-text-editor\" data-id=\"db34166\" 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<p><span style=\"font-weight: 400;\">The first example is that <\/span><b>banks analyze transactions<\/b><span style=\"font-weight: 400;\">, purchase history and spending habits of their customers. This data can reveal how someone has spent his money, how often he has spent it, and on which products and services. This analysis can also <\/span><b>prevent fraud<\/b><span style=\"font-weight: 400;\"> or identity theft.<\/span><\/p><p><span style=\"font-weight: 400;\">Another example is <\/span><b>e-commerce companies<\/b><span style=\"font-weight: 400;\">. Through data analytics, they examine their website traffic or browsing patterns to determine which customers are more or less likely to purchase a certain product or service.<\/span><\/p><p><span style=\"font-weight: 400;\">A third example is <\/span><b>consumer companies<\/b><span style=\"font-weight: 400;\"> looking for efficiency in their supply chain. With the clear insights provided by <\/span><a href=\"https:\/\/datascientest.com\/en\/big-data-definition-technologies-uses-and-training\"><b>Big Data<\/b><\/a><span style=\"font-weight: 400;\">, they can commit to restocking retail shelves with the right products, in the right volumes, at the right time. Their partners (small businesses, stores, etc.)<\/span><b> provide reports<\/b><span style=\"font-weight: 400;\"> that include their warehouse inventory and product sales frequency. This data is used to <\/span><b>reconcile and forecast ordering and shipping<\/b><span style=\"font-weight: 400;\"> needs.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-385ed15 elementor-widget__width-initial elementor-widget elementor-widget-video\" data-id=\"385ed15\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/www.youtube.com\\\/watch?v=VQ4WAPP3cVs&amp;list=PLbH8UGHWFlsTAXQ_eXw8ARS2AXsf7X8gZ&amp;index=20&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c5bbaf0 elementor-widget elementor-widget-spacer\" data-id=\"c5bbaf0\" data-element_type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-0852dbc e-flex e-con-boxed e-con\" data-id=\"0852dbc\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-9afa443 elementor-widget elementor-widget-heading\" data-id=\"9afa443\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">How do I get trained in Data Analysis?\n<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2438df6 elementor-widget elementor-widget-text-editor\" data-id=\"2438df6\" 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<p><span style=\"font-weight: 400;\">Despite all the benefits of Data Analysis, <\/span><b>only 0.5% of all data available today is analyzed<\/b><span style=\"font-weight: 400;\">. This means that there are still many opportunities to be seized in this field.<\/span><\/p><p><span style=\"font-weight: 400;\">Companies in all sectors are looking for professionals who can exploit data in their favor. However, this process requires <\/span><b>technical skills<\/b><span style=\"font-weight: 400;\"> and the mastery of <\/span><b>various tools<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">To train in data analysis, you can turn to the <\/span><a href=\"https:\/\/datascientest.com\/en\/data-analyst-course\"><b>Data Analyst training<\/b><\/a><span style=\"font-weight: 400;\"> offered by <\/span><b>DataScientest<\/b><span style=\"font-weight: 400;\">. Through this course, you can acquire skills in programming, DataViz, Machine Learning, data mining, Big Data and Business Intelligence.<\/span><\/p><p><span style=\"font-weight: 400;\">This training can be achieved in 9 weeks in a <strong>BootCamp<\/strong> format at 35 hours per week, or in <strong>Continuing Education<\/strong> at 10 hours per week for 6 months. We offer a Blended Learning approach, combining distance and face-to-face learning for maximum efficiency.<\/span><\/p><p><span style=\"font-weight: 400;\">We also offer <\/span><a href=\"https:\/\/datascientest.com\/en\/data-engineer-course\"><b>Data Engineer<\/b><\/a><span style=\"font-weight: 400;\">, <\/span><a href=\"https:\/\/datascientest.com\/en\/data-scientist-course\"><b>Data Scientist<\/b><\/a><span style=\"font-weight: 400;\"> and <\/span><a href=\"https:\/\/datascientest.com\/en\/machine-learning-engineer-course\"><b>Machine Learning Engineer training<\/b><\/a><span style=\"font-weight: 400;\">. All our courses lead to a degree certified by the Sorbonne University, and 90% of our students find a job after the course. Don&#8217;t wait any longer and discover all our courses.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-066fd94 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"066fd94\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/datascientest.com\/en\/data-courses\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Discover DataScientest\u2019s training courses<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-98b819d elementor-widget elementor-widget-text-editor\" data-id=\"98b819d\" 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<p><span style=\"font-weight: 400;\">You know all about Data analysis. Discover our article about <\/span><a href=\"https:\/\/datascientest.com\/en\/data-science-definition-issues-and-use-cases\"><b>Data Science<\/b> <\/a><span style=\"font-weight: 400;\">and our introduction to <\/span><a href=\"https:\/\/datascientest.com\/en\/machine-learning-what-is-it-and-why-does-it-change-the-world\"><b>Machine Learning<\/b><\/a><span style=\"font-weight: 400;\">.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-6dc9699 e-flex e-con-boxed e-con\" data-id=\"6dc9699\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6a04e33 elementor-widget elementor-widget-html\" data-id=\"6a04e33\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\r\n{\r\n  \"@context\": \"https:\/\/schema.org\",\r\n  \"@type\": \"FAQPage\",\r\n  \"mainEntity\": [{\r\n    \"@type\": \"Question\",\r\n    \"name\": \"What is Data Analysis used for?\",\r\n    \"acceptedAnswer\": {\r\n      \"@type\": \"Answer\",\r\n      \"text\": \"Data analysis is used by companies to make better decisions through business intelligence. 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To [&hellip;]<\/p>\n","protected":false},"author":50,"featured_media":166762,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2425],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Data Analysis: Definition, use of cases and tools<\/title>\n<meta name=\"description\" content=\"Data Analysis is increasingly used in companies in all sectors. 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