{"id":37470,"date":"2024-12-21T11:25:22","date_gmt":"2024-12-21T05:55:22","guid":{"rendered":"https:\/\/www.iquanta.in\/blog\/?p=37470"},"modified":"2025-01-28T09:46:20","modified_gmt":"2025-01-28T04:16:20","slug":"what-is-data-analytics-a-complete-guide","status":"publish","type":"post","link":"https:\/\/www.iquanta.in\/blog\/what-is-data-analytics-a-complete-guide\/","title":{"rendered":"What is Data Analytics ? A  Complete Guide"},"content":{"rendered":"\n<p>In today&#8217;s data driven era, businesses and organizations are highly rely on data analytics to gain useful insights and make smarter informed decision. Taking you to the real world application of predicting customer behaviour to optimizing processes, data analytics has successfully become the cornerstone of smarter decision making.<\/p>\n\n\n\n<p>According to the fact, almost 90% of the world&#8217;s data was created in the last two years and that happened only because of it. This created a boom in a digital world of IT industries and due to that companies are demanding high skilled working professionals.<\/p>\n\n\n\n<p>In this blog, we delve into data analytics, covering its types: descriptive, diagnostic, predictive, and prescriptive analytics. We&#8217;ll explore key methods, the importance of analytics in decision-making, and the growing career opportunities in this dynamic field.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large is-resized\"><a href=\"https:\/\/chat.whatsapp.com\/Ic7if2AHtxVAcyDcCehV26\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"159\" src=\"https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2025\/01\/dawabanner-6792322e75d5d-3-1024x159.webp\" alt=\"\" class=\"wp-image-41390\" style=\"width:736px;height:auto\" srcset=\"https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2025\/01\/dawabanner-6792322e75d5d-3-1024x159.webp 1024w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2025\/01\/dawabanner-6792322e75d5d-3-300x47.webp 300w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2025\/01\/dawabanner-6792322e75d5d-3-768x119.webp 768w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2025\/01\/dawabanner-6792322e75d5d-3-1536x238.webp 1536w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2025\/01\/dawabanner-6792322e75d5d-3-2048x317.webp 2048w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2025\/01\/dawabanner-6792322e75d5d-3-150x23.webp 150w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2025\/01\/dawabanner-6792322e75d5d-3-696x108.webp 696w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2025\/01\/dawabanner-6792322e75d5d-3-1068x166.webp 1068w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2025\/01\/dawabanner-6792322e75d5d-3-1920x298.webp 1920w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/a><\/figure><\/div>\n\n\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_77 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-1'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.iquanta.in\/blog\/what-is-data-analytics-a-complete-guide\/#What_is_Data_Analytics\" >What is Data Analytics?<\/a><ul class='ez-toc-list-level-2' ><li class='ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.iquanta.in\/blog\/what-is-data-analytics-a-complete-guide\/#Data_Collection_in_Data_Analytics\" >Data Collection in Data Analytics<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.iquanta.in\/blog\/what-is-data-analytics-a-complete-guide\/#Data_Cleaning_and_Preprocessing\" >Data Cleaning and Preprocessing<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.iquanta.in\/blog\/what-is-data-analytics-a-complete-guide\/#Exploratory_Data_Analysis_EDA\" >Exploratory Data Analysis (EDA)<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/www.iquanta.in\/blog\/what-is-data-analytics-a-complete-guide\/#Data_Modeling_in_Data_Analytics\" >Data Modeling in Data Analytics<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/www.iquanta.in\/blog\/what-is-data-analytics-a-complete-guide\/#Data_Interpretation_and_Insights\" >Data Interpretation and Insights<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/www.iquanta.in\/blog\/what-is-data-analytics-a-complete-guide\/#Decision_Making_and_Action\" >Decision Making and Action<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-1'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/www.iquanta.in\/blog\/what-is-data-analytics-a-complete-guide\/#Types_of_Data_Analytics\" >Types of Data Analytics<\/a><ul class='ez-toc-list-level-2' ><li class='ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/www.iquanta.in\/blog\/what-is-data-analytics-a-complete-guide\/#Diagnostic_Analytics\" >Diagnostic Analytics<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/www.iquanta.in\/blog\/what-is-data-analytics-a-complete-guide\/#Descriptive_Analytics\" >Descriptive Analytics<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/www.iquanta.in\/blog\/what-is-data-analytics-a-complete-guide\/#Predictive_Analytics\" >Predictive Analytics<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/www.iquanta.in\/blog\/what-is-data-analytics-a-complete-guide\/#Prescriptive_Analytics\" >Prescriptive Analytics<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-1'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/www.iquanta.in\/blog\/what-is-data-analytics-a-complete-guide\/#Why_Data_Analytics_is_Important\" >Why Data Analytics is Important ?<\/a><ul class='ez-toc-list-level-2' ><li class='ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/www.iquanta.in\/blog\/what-is-data-analytics-a-complete-guide\/#Improved_Decision_Making\" >Improved Decision Making<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/www.iquanta.in\/blog\/what-is-data-analytics-a-complete-guide\/#Improves_Operational_Efficiency\" >Improves Operational Efficiency<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"https:\/\/www.iquanta.in\/blog\/what-is-data-analytics-a-complete-guide\/#Predicting_and_Understanding_Customer_Behaviour\" >Predicting and Understanding Customer Behaviour<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-17\" href=\"https:\/\/www.iquanta.in\/blog\/what-is-data-analytics-a-complete-guide\/#Predictive_and_Prescriptive_Insights\" >Predictive and Prescriptive Insights<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-18\" href=\"https:\/\/www.iquanta.in\/blog\/what-is-data-analytics-a-complete-guide\/#Risk_Management_and_Cost_Reduction\" >Risk Management and Cost Reduction<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-19\" href=\"https:\/\/www.iquanta.in\/blog\/what-is-data-analytics-a-complete-guide\/#Improved_Marketing_Strategies\" >Improved Marketing Strategies<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-1'><a class=\"ez-toc-link ez-toc-heading-20\" href=\"https:\/\/www.iquanta.in\/blog\/what-is-data-analytics-a-complete-guide\/#Jobs_in_Data_Analytics\" >Jobs in Data Analytics<\/a><ul class='ez-toc-list-level-2' ><li class='ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-21\" href=\"https:\/\/www.iquanta.in\/blog\/what-is-data-analytics-a-complete-guide\/#Data_Analyst\" >Data Analyst<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-22\" href=\"https:\/\/www.iquanta.in\/blog\/what-is-data-analytics-a-complete-guide\/#Business_Analyst\" >Business Analyst<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-23\" href=\"https:\/\/www.iquanta.in\/blog\/what-is-data-analytics-a-complete-guide\/#Data_Scientist\" >Data Scientist<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-24\" href=\"https:\/\/www.iquanta.in\/blog\/what-is-data-analytics-a-complete-guide\/#Data_Engineer\" >Data Engineer<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<h1 class=\"wp-block-heading\" id=\"h-what-is-data-analytics\"><span class=\"ez-toc-section\" id=\"What_is_Data_Analytics\"><\/span><strong>What is Data Analytics?<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h1>\n\n\n\n<p><a href=\"https:\/\/www.iquanta.in\/blog\/what-is-data-analytics-a-complete-guide\/\">Data analytics<\/a> is a highly demanding field among students and working professional in the field of computer science.<\/p>\n\n\n\n<p>It is a detailed process that involves cleaning, transforming and interpreting data to discover patterns and insights. The goal is to make smarter decisions, helps organizations or individual to make better choices.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large is-resized\"><img decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2024\/12\/What-is-Data-Analytics-1-1024x576.jpeg\" alt=\"What is Data Analytics?\" class=\"wp-image-37567\" style=\"width:379px;height:auto\" srcset=\"https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2024\/12\/What-is-Data-Analytics-1-1024x576.jpeg 1024w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2024\/12\/What-is-Data-Analytics-1-300x169.jpeg 300w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2024\/12\/What-is-Data-Analytics-1-768x432.jpeg 768w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2024\/12\/What-is-Data-Analytics-1-1536x864.jpeg 1536w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2024\/12\/What-is-Data-Analytics-1-747x420.jpeg 747w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2024\/12\/What-is-Data-Analytics-1-150x84.jpeg 150w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2024\/12\/What-is-Data-Analytics-1-696x392.jpeg 696w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2024\/12\/What-is-Data-Analytics-1-1068x601.jpeg 1068w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2024\/12\/What-is-Data-Analytics-1.jpeg 1600w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure><\/div>\n\n\n<p>There are different steps involved to understand this concept in detailed manner:<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-data-collection-in-data-analytics\"><span class=\"ez-toc-section\" id=\"Data_Collection_in_Data_Analytics\"><\/span><strong>Data Collection in Data Analytics<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>The first step of <a href=\"https:\/\/www.iquanta.in\/blog\/what-is-data-analytics-a-complete-guide\/\">data analytics<\/a> is to gather the right data. Data having different sources, whether you can for internal source or external source.<\/p>\n\n\n\n<ul>\n<li>Internal Source: Internal source includes company&#8217;s data which handles employee&#8217;s information, financial records etc.<\/li>\n\n\n\n<li>External Source : External source includes data generated from social media, public data, surveys, customer feedbacks etc.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-data-cleaning-and-preprocessing\"><span class=\"ez-toc-section\" id=\"Data_Cleaning_and_Preprocessing\"><\/span><strong>Data Cleaning and Preprocessing<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Once you gather the data, it&#8217;s rarely perfect . It consists of errors, missing values, duplicate values, and lot of irrelevant information. Data cleaning is the next process after data gathering for clearing these issues, so the data is good to go for the analysis.<\/p>\n\n\n\n<p>key tasks for the data cleaning includes : removing duplicates, handling missing values, correcting errors and standardizing data.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-exploratory-data-analysis-eda\"><span class=\"ez-toc-section\" id=\"Exploratory_Data_Analysis_EDA\"><\/span><strong>Exploratory Data Analysis (EDA)<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>After cleaning the data , next step is to explore it to understand it structure and uncover initial patterns. This is done through EDA where :<\/p>\n\n\n\n<p>a) Descriptive Statistics which includes mean, median, mode as well as standard deviation to get a view of data description.<\/p>\n\n\n\n<p>b) Data Visualization tools are used which includes scatter plots, box plots and histograms to identify patterns and maintains relationship between variables.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-data-modeling-in-data-analytics\"><span class=\"ez-toc-section\" id=\"Data_Modeling_in_Data_Analytics\"><\/span><strong>Data Modeling in Data Analytics<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>At this step, you have more statistical and mathematical model that helps to analyze data more deeply so that classification and prediction becomes easier. In data modeling analysts prepare data for analysis in the organizations that is really helpful in making strategic decision insights. <\/p>\n\n\n\n<p>Data Modeling not only helps in reducing errors but also improves database performance.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-data-interpretation-and-insights\"><span class=\"ez-toc-section\" id=\"Data_Interpretation_and_Insights\"><\/span><strong>Data Interpretation and Insights<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>The next part is data interpretation, once a model is generated, it is very important to cross check the result with the great insights. Checking if the model&#8217;s prediction aligns with the real world observation. If the predictions are not accurate, adjustments may needed.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-decision-making-and-action\"><span class=\"ez-toc-section\" id=\"Decision_Making_and_Action\"><\/span><strong>Decision Making and Action <\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>The final step in the data analytics process is to use the insights derived from data to make decisions. These decisions can be at a strategic or operational level and often lead to action such as:<\/p>\n\n\n\n<p><strong>Adjusting marketing strategies: <\/strong>For example, if data shows a specific products is popular during a season , a company may focus marketing efforts on that product at the right time.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large is-resized\"><a href=\"https:\/\/chat.whatsapp.com\/Ic7if2AHtxVAcyDcCehV26\"><img decoding=\"async\" width=\"1024\" height=\"159\" src=\"https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2025\/01\/dawabanner-6792322e75d5d-4-1024x159.webp\" alt=\"\" class=\"wp-image-41392\" style=\"width:720px;height:auto\" srcset=\"https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2025\/01\/dawabanner-6792322e75d5d-4-1024x159.webp 1024w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2025\/01\/dawabanner-6792322e75d5d-4-300x47.webp 300w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2025\/01\/dawabanner-6792322e75d5d-4-768x119.webp 768w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2025\/01\/dawabanner-6792322e75d5d-4-1536x238.webp 1536w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2025\/01\/dawabanner-6792322e75d5d-4-2048x317.webp 2048w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2025\/01\/dawabanner-6792322e75d5d-4-150x23.webp 150w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2025\/01\/dawabanner-6792322e75d5d-4-696x108.webp 696w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2025\/01\/dawabanner-6792322e75d5d-4-1068x166.webp 1068w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2025\/01\/dawabanner-6792322e75d5d-4-1920x298.webp 1920w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/a><\/figure><\/div>\n\n\n<h1 class=\"wp-block-heading\" id=\"h-types-of-data-analytics\"><span class=\"ez-toc-section\" id=\"Types_of_Data_Analytics\"><\/span><strong>Types of Data Analytics<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h1>\n\n\n\n<p>Data Analytics plays a critical role in today&#8217;s data-driven world. It helps organizations uncover insights, predict trends, and make informed decision. Below are the four main types of data analytics, explained in detail with examples: <\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2024\/12\/types-of-data-analytics-1024x576.jpeg\" alt=\"types of data analytics\" class=\"wp-image-37552\" style=\"width:373px;height:auto\" srcset=\"https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2024\/12\/types-of-data-analytics-1024x576.jpeg 1024w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2024\/12\/types-of-data-analytics-300x169.jpeg 300w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2024\/12\/types-of-data-analytics-768x432.jpeg 768w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2024\/12\/types-of-data-analytics-1536x864.jpeg 1536w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2024\/12\/types-of-data-analytics-747x420.jpeg 747w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2024\/12\/types-of-data-analytics-150x84.jpeg 150w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2024\/12\/types-of-data-analytics-696x392.jpeg 696w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2024\/12\/types-of-data-analytics-1068x601.jpeg 1068w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2024\/12\/types-of-data-analytics.jpeg 1600w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure><\/div>\n\n\n<h2 class=\"wp-block-heading\" id=\"h-diagnostic-analytics\"><span class=\"ez-toc-section\" id=\"Diagnostic_Analytics\"><\/span><strong>Diagnostic Analytics<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p><strong>Objective : <\/strong>To investigate the reason behind a particular outcome or trend.<\/p>\n\n\n\n<p><strong>Key Question <\/strong>: Why did it happen ? <\/p>\n\n\n\n<p><strong>Features<\/strong> : a). Diagnostic Analytics involves techniques like drill-down, data discovery and  correlation analysis.<\/p>\n\n\n\n<p>b). Uses statistical analysis to identify trends, anomalies and relationship between variables.<\/p>\n\n\n\n<p><strong>Applications :<\/strong> a). In E-Commerce : Understanding why a specific product  experienced a sudden spikes in a sales to increase the sales projection.<\/p>\n\n\n\n<p>b). Finance : Understanding why there is a decrement in a sales for a specific product or some other finance factors.<\/p>\n\n\n\n<p><strong>Tools : <\/strong>There are different programming languages also we are using includes Python, R , SAS and SQL.<\/p>\n\n\n\n<p>Example : In telecom industry, suddenly a company faces a dip in customer retention. Diagnostic analytics helps in revealing that customer were dissatisfied with recent services outage.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-descriptive-analytics\"><span class=\"ez-toc-section\" id=\"Descriptive_Analytics\"><\/span><strong>Descriptive Analytics<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p><strong>Objective<\/strong> : To summarize and interpret historical data to understand what has happened.<\/p>\n\n\n\n<p><strong>Key Question<\/strong> : What happened?<\/p>\n\n\n\n<p><strong>Features<\/strong> : a).  It involves basic statistical techniques like averages, percentages as well as inaccuracies.<\/p>\n\n\n\n<p>b). Utilize data visualization tools like dashboards, graphs and reports.<\/p>\n\n\n\n<p><strong>Applications:<\/strong><\/p>\n\n\n\n<ol>\n<li>Business : Analyzing sales report to determine quarterly performance.<\/li>\n\n\n\n<li>Healthcare: Tracking patients admissions rates over time.<\/li>\n<\/ol>\n\n\n\n<p><strong>Tools : <\/strong>There are different tools we can use for the descriptive analytics includes SQL, Power BI, Tableau, Excel.<\/p>\n\n\n\n<p><strong>Example<\/strong> : A retail company uses descriptive analytics to determine their overall sales projection over the past years. They project that their sales report gets increased by 15%, primarily due to occasional promotions.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-predictive-analytics\"><span class=\"ez-toc-section\" id=\"Predictive_Analytics\"><\/span><strong>Predictive Analytics<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p><strong>Objective : <\/strong>In Predictive analytics, future insights or predictions can be done using past or historical data.<\/p>\n\n\n\n<p><strong>Key Question :<\/strong> What is likely to happen ?<\/p>\n\n\n\n<p><strong>Features :<\/strong> a). Predictive analytics uses statistical models, machine learning and data mining techniques.<\/p>\n\n\n\n<p>b). Highly relying on algorithms to predict patterns and insights.<\/p>\n\n\n\n<p><strong>Applications : <\/strong><\/p>\n\n\n\n<ol>\n<li>Heathcare : Predicting patients readmission rates in the hospital.<\/li>\n\n\n\n<li>Retail : Forecasting demand for products using occasional season.<\/li>\n<\/ol>\n\n\n\n<p>Tools : There are different tools we will be covering in predictive analytics includes Python, R , SPSS and TensorFlow.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-prescriptive-analytics\"><span class=\"ez-toc-section\" id=\"Prescriptive_Analytics\"><\/span><strong>Prescriptive Analytics<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p><strong>Objective : <\/strong>With data predictions and insights, we will recommended actions.<\/p>\n\n\n\n<p><strong>Key Questions<\/strong> <strong>:<\/strong> What should we choose ?<\/p>\n\n\n\n<p><strong>Features : <\/strong>a). It combine insights from all other three includes diagnostic, predictive and descriptive analytics.<\/p>\n\n\n\n<p>b) For suggesting action they are using optimization and simulation algorithms.<\/p>\n\n\n\n<p>c). It often integrates artificial intelligence and machine learning for automated decision making and workflows.<\/p>\n\n\n\n<p><strong>Applications: <\/strong><\/p>\n\n\n\n<p>a) <strong>Logistics :<\/strong> Optimizing delivery routes for faster shipping.<\/p>\n\n\n\n<p>b). <strong>Marketing :<\/strong> It enhances customer experience , increase sales projections and maximizing profitability.<\/p>\n\n\n\n<p>Tools : There are several tools in prescriptive analytics which includes Python, MATLAB, Tableau, Gurobi, RapidMiner etc.<\/p>\n\n\n\n<h1 class=\"wp-block-heading\" id=\"h-why-data-analytics-is-important\"><span class=\"ez-toc-section\" id=\"Why_Data_Analytics_is_Important\"><\/span><strong>Why Data Analytics is Important ?<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h1>\n\n\n\n<p>Data Analytics is important across industries because it provides the tools and techniques to optimize decision making, improve processes, and gain a competitive edge in the market. Below is a detailed explanation of its importance:<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-improved-decision-making\"><span class=\"ez-toc-section\" id=\"Improved_Decision_Making\"><\/span><strong>Improved Decision Making<\/strong> <span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Traditional decision making relies on incomplete or irrelevant information, leading to inaccuracies. Data Analytics offers a systematic approach to analyze huge amount of well structured and unstructured data. Through identification of trends and patterns, industries can make informed and accurate decisions.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-improves-operational-efficiency\"><span class=\"ez-toc-section\" id=\"Improves_Operational_Efficiency\"><\/span><strong>Improves Operational Efficiency <\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Analytics identifies inefficiencies in processing and helps to design strategies for improving productivity. For Example : Supply chain analytics  can minimizes delay and reduce costs by optimizing logistics.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2024\/12\/why-data-analytics-is-important-1024x576.jpeg\" alt=\"Why Data Analytics is important ?\" class=\"wp-image-37551\" style=\"width:375px;height:auto\" srcset=\"https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2024\/12\/why-data-analytics-is-important-1024x576.jpeg 1024w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2024\/12\/why-data-analytics-is-important-300x169.jpeg 300w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2024\/12\/why-data-analytics-is-important-768x432.jpeg 768w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2024\/12\/why-data-analytics-is-important-1536x864.jpeg 1536w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2024\/12\/why-data-analytics-is-important-747x420.jpeg 747w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2024\/12\/why-data-analytics-is-important-150x84.jpeg 150w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2024\/12\/why-data-analytics-is-important-696x392.jpeg 696w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2024\/12\/why-data-analytics-is-important-1068x601.jpeg 1068w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2024\/12\/why-data-analytics-is-important.jpeg 1600w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure><\/div>\n\n\n<h2 class=\"wp-block-heading\" id=\"h-predicting-and-understanding-customer-behaviour\"><span class=\"ez-toc-section\" id=\"Predicting_and_Understanding_Customer_Behaviour\"><\/span><strong>Predicting and Understanding Customer Behaviour <\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Organizations uses analytics to understand their customer base and experiences. Tools like CRM ( Customer Relationship Management ) helps analyze their purchase history, feedback and preferences, enabling businesses to improve customer satisfaction and loyalty.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-predictive-and-prescriptive-insights\"><span class=\"ez-toc-section\" id=\"Predictive_and_Prescriptive_Insights\"><\/span><strong>Predictive and Prescriptive Insights<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Predictive analytics uses historical data to predict the future insights such as market demand or customer churn. Prescriptive analytics takes it a step further by providing actionable recommendations to achieve specific goals. For Example : In healthcare industry, predictive analytics helps to determine the disease outbreak whereas prescriptive analytics helps to suggest the treatment plans to it.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-risk-management-and-cost-reduction\"><span class=\"ez-toc-section\" id=\"Risk_Management_and_Cost_Reduction\"><\/span><strong>Risk Management and Cost Reduction<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Analytics can easily identifies potential risks by analyzing historical data and identifies unusual patterns. This is really helpful in finance industries where the risk of finance threatens the data loss so by identifying the real time fraud detection, we can prevent the financial fraud.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.iquanta.in\/blog\/what-is-data-analytics-a-complete-guide\/\">Data Analytics<\/a> helps organizations identifying where the resources are getting wasted. For instance, manufacturing companies use it to optimize energy consumption or reduce material waste during production.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-improved-marketing-strategies\"><span class=\"ez-toc-section\" id=\"Improved_Marketing_Strategies\"><\/span><strong>Improved Marketing Strategies<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Marketing leverages analytics to measure campaign effectiveness, understand customer demographics, and optimize ad spend. Tools like Google Analytics and social media insights provide real time data that helps in improving marketing strategies.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large is-resized\"><a href=\"https:\/\/chat.whatsapp.com\/Ic7if2AHtxVAcyDcCehV26\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"159\" src=\"https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2025\/01\/dawabanner-6792322e75d5d-4-1-1024x159.webp\" alt=\"\" class=\"wp-image-41394\" style=\"width:726px;height:auto\" srcset=\"https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2025\/01\/dawabanner-6792322e75d5d-4-1-1024x159.webp 1024w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2025\/01\/dawabanner-6792322e75d5d-4-1-300x47.webp 300w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2025\/01\/dawabanner-6792322e75d5d-4-1-768x119.webp 768w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2025\/01\/dawabanner-6792322e75d5d-4-1-1536x238.webp 1536w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2025\/01\/dawabanner-6792322e75d5d-4-1-2048x317.webp 2048w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2025\/01\/dawabanner-6792322e75d5d-4-1-150x23.webp 150w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2025\/01\/dawabanner-6792322e75d5d-4-1-696x108.webp 696w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2025\/01\/dawabanner-6792322e75d5d-4-1-1068x166.webp 1068w, https:\/\/www.iquanta.in\/blog\/wp-content\/uploads\/2025\/01\/dawabanner-6792322e75d5d-4-1-1920x298.webp 1920w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/a><\/figure><\/div>\n\n\n<h1 class=\"wp-block-heading\" id=\"h-jobs-in-data-analytics\"><span class=\"ez-toc-section\" id=\"Jobs_in_Data_Analytics\"><\/span><strong>Jobs in Data Analytics<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h1>\n\n\n\n<p>Data Analytics offers diverse job roles across industries, each requiring a unique blend of skills in data analysis, handling and interpretation. Here are common roles in the field of data analytics:<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-data-analyst\"><span class=\"ez-toc-section\" id=\"Data_Analyst\"><\/span><strong>Data Analyst<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p><strong>Role : <\/strong>Data  Analyst helps in collecting , cleaning and interpreting data to generate insights.<\/p>\n\n\n\n<p><strong>Tools Required : <\/strong>SQL, Python \/ R, Tableau \/ PowerBI, Advanced Excel<\/p>\n\n\n\n<p><strong>Industries : <\/strong>Healthcare , Finance , Marketing, IT , E-Commerce<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-business-analyst\"><span class=\"ez-toc-section\" id=\"Business_Analyst\"><\/span><strong>Business Analyst<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p><strong>Role : <\/strong>Business analysts helps in bridging gap between business needs and technical solutions by analyzing data to recommend strategies.<\/p>\n\n\n\n<p><strong>Tools Required : <\/strong>SQL, Data Modeling, Requirement Gathering, Stakeholder Communication, SDLC<\/p>\n\n\n\n<p><strong>Industries: <\/strong>IT, Banking , Finance , Insurance , Consulting<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-data-scientist\"><span class=\"ez-toc-section\" id=\"Data_Scientist\"><\/span><strong>Data Scientist<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p><strong>Role :<\/strong> Applying statistical techniques, machine learning, and predictive modeling to analyze complex data.<\/p>\n\n\n\n<p><strong>Tools Required :<\/strong> Python\/R, machine learning algorithms, big data tools, data engineering.<\/p>\n\n\n\n<p><strong>Industries :<\/strong> Tech, Healthcare, Finance, Research.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-data-engineer\"><span class=\"ez-toc-section\" id=\"Data_Engineer\"><\/span><strong>Data Engineer <\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p><strong>Role : <\/strong>Building and maintaining data pipelines, databases, and infrastructure for analytics teams.<\/p>\n\n\n\n<p><strong>Tools Required : <\/strong>SQL, Python, ETL tools, cloud platforms (AWS, Azure), big data tools (Hadoop, Spark).<\/p>\n\n\n\n<p>Industries : Technology, E-commerce , Telecommunications.<\/p>\n\n\n\n<p>In similar manner, there are different jobs in the field of data analytics like  Marketing Analyst, Operational Analyst and so on&#8230;.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In today&#8217;s data driven era, businesses and organizations are highly rely on data analytics to gain useful insights and make smarter informed decision. Taking you to the real world application of predicting customer behaviour to optimizing processes, data analytics has successfully become the cornerstone of smarter decision making. According to the fact, almost 90% of [&hellip;]<\/p>\n","protected":false},"author":560,"featured_media":37548,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1074,1073],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.4 (Yoast SEO v21.9.1) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>What is Data Analytics ? 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