{"id":49449,"date":"2016-07-06T00:00:00","date_gmt":"2016-07-06T00:00:00","guid":{"rendered":"https:\/\/www.techopedia.com\/how-big-data-is-helping-the-insurance-industry\/"},"modified":"2023-03-08T13:04:12","modified_gmt":"2023-03-08T13:04:12","slug":"how-big-data-is-helping-the-insurance-industry","status":"publish","type":"post","link":"https:\/\/www.techopedia.com\/2\/31776\/trends\/big-data\/how-big-data-is-helping-the-insurance-industry","title":{"rendered":"How Big Data Is Helping the Insurance Industry"},"content":{"rendered":"<p><a href=\"\/definition\/27745\/big-data\" target=\"_blank\">Big data<\/a> has been making a significant impact on the insurance industry. With the help of big data, insurance companies have been able to calculate risks more accurately and offer better premiums to customers, predict and control fraudulent claims and offer personalized insurance products. To do the above, insurance companies have been taking input from a number of sources, such as <a href=\"\/definition\/31206\/wearable-device\" target=\"_blank\">wearable<\/a> medical devices, which have been a boon to the medical insurance sector. Though the insurance industry had already been evolving its risk and premium calculation methods, fraud detection and offerings, the availability of more data has increased precision and enabled insurance companies to predict risk more accurately than before. (To learn more about wearable devices and health, see <a href=\"\/2\/31442\/trends\/wearables\/how-iot-data-analytics-personal-fitness-devices-can-keep-you-healthier\" target=\"_blank\">How IoT Data Analytics &amp; Personal Fitness Devices Can Keep You Healthier<\/a>.)<\/p>\n<h2><span id=\"insurance_industry_without_big_data\">Insurance Industry Without Big Data<\/span><\/h2>\n<p>Big data is a pretty recent phenomenon, and obviously the insurance industry was quite different without it. So how did the insurance industry operate without big data? Let us take a look at a few scenarios:<\/p>\n<ul>\n<li>Risk calculation &ndash; Insurance companies took into account a number of factors before calculating or assessing risks. For example, in the case of medical insurance, factors such as age, health profile, smoking or alcoholism were taken into account. The premium depended on the assessment of risk. The risk assessment method however, did not take into account many other factors; it missed a 360-degree view of risks.<\/li>\n<li>Fraud detection &ndash; Fraudulent claims have been a scourge for the insurance industry and it has applied certain fraud detection methods. For example, if someone made a fraudulent claim, the insurer would store the details of the claimant and deny claims from the same claimant in the future. However, that did not prevent fraudulent claims from proliferating. Obviously, the insurers needed to do something different about it.<\/li>\n<li>Personalized products &ndash; Insurance companies have always offered products that are tailored to a certain extent. However, the products were not tailored on an individual basis, rather on a group or category basis. For example, certain insurance products were designed for executives between the ages of 30 and 45 and their possible needs, but it was always difficult to cater to individual needs with such products.<\/li>\n<\/ul>\n<h2><span id=\"big_data39s_influence_on_the_insurance_industry\">Big Data&#39;s Influence on the Insurance Industry<\/span><\/h2>\n<p>It is important to understand that big data has not brought about any fundamental change in the ways the insurance industry goes about its business. It has simply enabled insurers to assess risk and understand customer needs with greater accuracy. Given below is a description of how big data has influenced the insurance industry.<\/p>\n<h3>Better Premium Determination<\/h3>\n<p>Setting premiums for insurance products is a complex job, as underwriters and actuaries will attest to. The insurers need to make sure that the premiums for their offerings are both within the customer&rsquo;s budget and help the insurers stay profitable. The insurance industry is a highly competitive one because customers evaluate policies based on the price they have to pay. To set the right premium, it is important to accurately assess the possibility of the risk event occuring. For example, a person with a history of heart disease will have a high probability of claiming insurance for cardiac treatment.<\/p>\n<p>Insurance companies need data to find out more about potential customers, and they now can have access to data that provides multidimensional information about customers &ndash; behavioral, financial, credit score, addiction history and many other factors. The data helps insurers to accurately assess the risk or possibility of claims. The case of the auto insurance sector is a good example. Some auto insurance companies now offer <a href=\"\/definition\/14853\/telemetry\" target=\"_blank\">telemetry<\/a>-based packages which provide the insurers detailed, <a href=\"\/definition\/31256\/real-time-data\" target=\"_blank\">real-time data<\/a> about the customer as a driver. The information is transmitted to servers used by the insurer from a gadget fitted into the car or an app installed in the driver&rsquo;s <a href=\"\/definition\/2977\/smartphone\" target=\"_blank\">smartphone<\/a>. For example, the gadget or app can provide information on the average driving speed, number of accidents, number of traffic violations and other variables. Such data can be of immense help in building a profile of the applicant for an insurance policy.<\/p>\n<h3>Better Assessment of Risks<\/h3>\n<p>Wearable devices such as the <a href=\"\/definition\/31461\/apple-watch\" target=\"_blank\">Apple Watch<\/a> and the Fitbit activity trackers, which can monitor a person&rsquo;s activity profile and other lifestyle aspects, have significantly influenced how medical insurance companies assess risk. Such devices provide a lot of data to the insurers based on which the insurers can increase the accuracy of their risk assessment. According to Accenture, one-third of insurance companies are now offering their products based on the analytics from these devices. For example, Hancock, a prominent insurance provider, offers discounts on premiums and also a free Fitbit wearable monitor. Customers can have their premiums reduced by working hard to improve their health. As their health improves, the risk reduces and the premium also reduces. (For more on wearables, see <a href=\"\/2\/29652\/personal-tech\/personal-computers\/wearable-tech-geek-or-chic\" target=\"_blank\">Wearable Tech: Geek or Chic?<\/a>)<\/p>\n<h3>Fraud Prevention<\/h3>\n<p>One of the biggest struggles in the insurance industry is containing fraudulent claims. Big data has helped insurance companies to fight fraudulent claims with the help of profiling and <a href=\"\/definition\/14004\/predictive-modeling\" target=\"_blank\">predictive modeling<\/a>. For example, variables within each claim made are matched with variables of fraudulent claims made in the past. If certain matches are found, then the claim is flagged for a deeper investigation. Examples of such matching variables are behavior of the person who is making the claim, network of the claimant, data about the claimant as found on the <a href=\"\/definition\/4837\/social-media\" target=\"_blank\">social media<\/a> or other sources of open <a href=\"\/definition\/30326\/demographic-data\" target=\"_blank\">demographic data<\/a>. Data has made it easier and more efficient to find matches and investigate. Previously, it was extremely difficult to quickly detect signs of fraudulent claims, as the evaluation was done manually.<\/p>\n<h2><span id=\"summary\">Summary<\/span><\/h2>\n<p>While big data has had a positive influence on the insurance industry, insurers have to strike a balance between using data and maintaining customer confidentiality. It is important to convince the customers that the data is being used and the benefits are going to come back to them. According to Brooks Tingle, the SVP of insurance marketing and strategy for Hancock, &ldquo;customers don&rsquo;t mind giving up some data if you&rsquo;re transparent about what data you&rsquo;re asking for, and they are getting real value back for it.&rdquo; The companies, of course, need mature and responsible handling of the data they collect.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Big data has been making a significant impact on the insurance industry. With the help of big data, insurance companies have been able to calculate risks more accurately and offer better premiums to customers, predict and control fraudulent claims and offer personalized insurance products. To do the above, insurance companies have been taking input from [&hellip;]<\/p>\n","protected":false},"author":7870,"featured_media":49450,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_lmt_disableupdate":"no","_lmt_disable":"","om_disable_all_campaigns":false,"footnotes":""},"categories":[581,557,586,592],"tags":[],"category_partsoff":[],"class_list":["post-49449","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-analytics","category-data-management","category-emerging-technology","category-identity-access-governance"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v24.2 (Yoast SEO v24.5) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>How Big Data Is Helping the Insurance Industry - Techopedia<\/title>\n<meta name=\"description\" content=\"Big data has been making a significant impact on the insurance industry. With the help of big data, insurance companies have been able to calculate risks more accurately and offer better premiums to customers, predict and...\" \/>\n<meta name=\"robots\" content=\"noindex, follow\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How Big Data Is Helping the Insurance Industry\" \/>\n<meta property=\"og:description\" content=\"Big data has been making a significant impact on the insurance industry. With the help of big data, insurance companies have been able to calculate risks more accurately and offer better premiums to customers, predict and...\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.techopedia.com\/2\/31776\/trends\/big-data\/how-big-data-is-helping-the-insurance-industry\" \/>\n<meta property=\"og:site_name\" content=\"Techopedia\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/techopedia\/\" \/>\n<meta property=\"article:author\" content=\"https:\/\/www.facebook.com\/techalpine\" \/>\n<meta property=\"article:published_time\" content=\"2016-07-06T00:00:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-03-08T13:04:12+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.techopedia.com\/wp-content\/uploads\/2023\/02\/shelf-white-board-logo-trademark-furniture-poster-collage-indoors-inte-2.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1\" \/>\n\t<meta property=\"og:image:height\" content=\"1\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Kaushik Pal\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@https:\/\/twitter.com\/techalpine\" \/>\n<meta name=\"twitter:site\" content=\"@techopedia\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Kaushik Pal\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.techopedia.com\/2\/31776\/trends\/big-data\/how-big-data-is-helping-the-insurance-industry#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.techopedia.com\/2\/31776\/trends\/big-data\/how-big-data-is-helping-the-insurance-industry\"},\"author\":{\"name\":\"Kaushik Pal\",\"@id\":\"https:\/\/www.techopedia.com\/#\/schema\/person\/d7df6d38ac044fdfba1f7ca2eb5f4034\"},\"headline\":\"How Big Data Is Helping the Insurance Industry\",\"datePublished\":\"2016-07-06T00:00:00+00:00\",\"dateModified\":\"2023-03-08T13:04:12+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.techopedia.com\/2\/31776\/trends\/big-data\/how-big-data-is-helping-the-insurance-industry\"},\"wordCount\":1068,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/www.techopedia.com\/#organization\"},\"image\":{\"@id\":\"https:\/\/www.techopedia.com\/2\/31776\/trends\/big-data\/how-big-data-is-helping-the-insurance-industry#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.techopedia.com\/wp-content\/uploads\/2023\/02\/shelf-white-board-logo-trademark-furniture-poster-collage-indoors-inte-2.jpg\",\"articleSection\":\"\",\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/www.techopedia.com\/2\/31776\/trends\/big-data\/how-big-data-is-helping-the-insurance-industry#respond\"]}],\"copyrightYear\":\"2016\",\"copyrightHolder\":{\"@id\":\"https:\/\/www.techopedia.com\/#organization\"}},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.techopedia.com\/2\/31776\/trends\/big-data\/how-big-data-is-helping-the-insurance-industry\",\"url\":\"https:\/\/www.techopedia.com\/2\/31776\/trends\/big-data\/how-big-data-is-helping-the-insurance-industry\",\"name\":\"How Big Data Is Helping the Insurance Industry - Techopedia\",\"isPartOf\":{\"@id\":\"https:\/\/www.techopedia.com\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.techopedia.com\/2\/31776\/trends\/big-data\/how-big-data-is-helping-the-insurance-industry#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.techopedia.com\/2\/31776\/trends\/big-data\/how-big-data-is-helping-the-insurance-industry#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.techopedia.com\/wp-content\/uploads\/2023\/02\/shelf-white-board-logo-trademark-furniture-poster-collage-indoors-inte-2.jpg\",\"datePublished\":\"2016-07-06T00:00:00+00:00\",\"dateModified\":\"2023-03-08T13:04:12+00:00\",\"description\":\"Big data has been making a significant impact on the insurance industry. With the help of big data, insurance companies have been able to calculate risks more accurately and offer better premiums to customers, predict and...\",\"breadcrumb\":{\"@id\":\"https:\/\/www.techopedia.com\/2\/31776\/trends\/big-data\/how-big-data-is-helping-the-insurance-industry#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.techopedia.com\/2\/31776\/trends\/big-data\/how-big-data-is-helping-the-insurance-industry\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.techopedia.com\/2\/31776\/trends\/big-data\/how-big-data-is-helping-the-insurance-industry#primaryimage\",\"url\":\"https:\/\/www.techopedia.com\/wp-content\/uploads\/2023\/02\/shelf-white-board-logo-trademark-furniture-poster-collage-indoors-inte-2.jpg\",\"contentUrl\":\"https:\/\/www.techopedia.com\/wp-content\/uploads\/2023\/02\/shelf-white-board-logo-trademark-furniture-poster-collage-indoors-inte-2.jpg\",\"caption\":\"Ramcreativ\/Dreamstime.com\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.techopedia.com\/2\/31776\/trends\/big-data\/how-big-data-is-helping-the-insurance-industry#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.techopedia.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Data Management\",\"item\":\"https:\/\/www.techopedia.com\/topic\/20\/data-management\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"How Big Data Is Helping the Insurance Industry\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.techopedia.com\/#website\",\"url\":\"https:\/\/www.techopedia.com\/\",\"name\":\"Techopedia\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\/\/www.techopedia.com\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.techopedia.com\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/www.techopedia.com\/#organization\",\"name\":\"Techopedia\",\"url\":\"https:\/\/www.techopedia.com\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.techopedia.com\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/www.techopedia.com\/wp-content\/uploads\/2025\/02\/techopedia-light-logo.svg\",\"contentUrl\":\"https:\/\/www.techopedia.com\/wp-content\/uploads\/2025\/02\/techopedia-light-logo.svg\",\"caption\":\"Techopedia\"},\"image\":{\"@id\":\"https:\/\/www.techopedia.com\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/techopedia\/\",\"https:\/\/x.com\/techopedia\",\"https:\/\/www.linkedin.com\/company\/techopedia\/\",\"https:\/\/www.youtube.com\/c\/Techopedia\"],\"publishingPrinciples\":\"https:\/\/www.techopedia.com\/about\/editorial-policy\",\"ownershipFundingInfo\":\"https:\/\/www.techopedia.com\/about\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/www.techopedia.com\/#\/schema\/person\/d7df6d38ac044fdfba1f7ca2eb5f4034\",\"name\":\"Kaushik Pal\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.techopedia.com\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/www.techopedia.com\/wp-content\/uploads\/2025\/02\/kaushik-pal-e-150x150.jpg\",\"contentUrl\":\"https:\/\/www.techopedia.com\/wp-content\/uploads\/2025\/02\/kaushik-pal-e-150x150.jpg\",\"caption\":\"Kaushik Pal\"},\"description\":\"Kaushik is a Technical Architect and Software Consultant with over 23 years of experience in software analysis, development, architecture, design, testing and training. He has an interest in new technologies and areas of innovation. He focuses on web architecture, web technologies, Java\/J2EE, open source software, WebRTC, big data and semantic technologies. He has demonstrated expertise in requirements analysis, architecture design and implementation, technical use cases and software development. His experience has spanned across industries like insurance, banking, airlines, shipping, document management and product development etc. He has worked on a wide range of technologies ranging from large scale (IBM S\/390), mid scale (AS\/400), web technologies, open source and big data. Kaushik is primarily involved in Java\/J2EE\/Open Source\/Web\/WebRTC\/Hadoop and Big Data technologies. Kaushik also founded TechAlpine, a technology blogging\/consulting firm in Kolkata. The TechAlpine team works with multiple clients in India and abroad and has expertise in Java\/J2EE\/open source\/web\/webRTC\/Hadoop\/big data technologies and technical writing.\",\"sameAs\":[\"https:\/\/techalpine.com\/\",\"https:\/\/www.facebook.com\/techalpine\",\"https:\/\/in.linkedin.com\/in\/kaushik-pal-36b36915\",\"https:\/\/x.com\/https:\/\/twitter.com\/techalpine\",\"https:\/\/www.youtube.com\/channel\/UCKSE-GsRz1GrGhvzy6hYHNQ?view_as=subscriber\"],\"knowsAbout\":[\"Technology Specialist\"],\"url\":\"https:\/\/www.techopedia.com\/contributors\/kaushik-pal\"}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"How Big Data Is Helping the Insurance Industry - Techopedia","description":"Big data has been making a significant impact on the insurance industry. With the help of big data, insurance companies have been able to calculate risks more accurately and offer better premiums to customers, predict and...","robots":{"index":"noindex","follow":"follow"},"og_locale":"en_US","og_type":"article","og_title":"How Big Data Is Helping the Insurance Industry","og_description":"Big data has been making a significant impact on the insurance industry. With the help of big data, insurance companies have been able to calculate risks more accurately and offer better premiums to customers, predict and...","og_url":"https:\/\/www.techopedia.com\/2\/31776\/trends\/big-data\/how-big-data-is-helping-the-insurance-industry","og_site_name":"Techopedia","article_publisher":"https:\/\/www.facebook.com\/techopedia\/","article_author":"https:\/\/www.facebook.com\/techalpine","article_published_time":"2016-07-06T00:00:00+00:00","article_modified_time":"2023-03-08T13:04:12+00:00","og_image":[{"url":"https:\/\/www.techopedia.com\/wp-content\/uploads\/2023\/02\/shelf-white-board-logo-trademark-furniture-poster-collage-indoors-inte-2.jpg","width":1,"height":1,"type":"image\/jpeg"}],"author":"Kaushik Pal","twitter_card":"summary_large_image","twitter_creator":"@https:\/\/twitter.com\/techalpine","twitter_site":"@techopedia","twitter_misc":{"Written by":"Kaushik Pal","Est. reading time":"5 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.techopedia.com\/2\/31776\/trends\/big-data\/how-big-data-is-helping-the-insurance-industry#article","isPartOf":{"@id":"https:\/\/www.techopedia.com\/2\/31776\/trends\/big-data\/how-big-data-is-helping-the-insurance-industry"},"author":{"name":"Kaushik Pal","@id":"https:\/\/www.techopedia.com\/#\/schema\/person\/d7df6d38ac044fdfba1f7ca2eb5f4034"},"headline":"How Big Data Is Helping the Insurance Industry","datePublished":"2016-07-06T00:00:00+00:00","dateModified":"2023-03-08T13:04:12+00:00","mainEntityOfPage":{"@id":"https:\/\/www.techopedia.com\/2\/31776\/trends\/big-data\/how-big-data-is-helping-the-insurance-industry"},"wordCount":1068,"commentCount":0,"publisher":{"@id":"https:\/\/www.techopedia.com\/#organization"},"image":{"@id":"https:\/\/www.techopedia.com\/2\/31776\/trends\/big-data\/how-big-data-is-helping-the-insurance-industry#primaryimage"},"thumbnailUrl":"https:\/\/www.techopedia.com\/wp-content\/uploads\/2023\/02\/shelf-white-board-logo-trademark-furniture-poster-collage-indoors-inte-2.jpg","articleSection":"","inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/www.techopedia.com\/2\/31776\/trends\/big-data\/how-big-data-is-helping-the-insurance-industry#respond"]}],"copyrightYear":"2016","copyrightHolder":{"@id":"https:\/\/www.techopedia.com\/#organization"}},{"@type":"WebPage","@id":"https:\/\/www.techopedia.com\/2\/31776\/trends\/big-data\/how-big-data-is-helping-the-insurance-industry","url":"https:\/\/www.techopedia.com\/2\/31776\/trends\/big-data\/how-big-data-is-helping-the-insurance-industry","name":"How Big Data Is Helping the Insurance Industry - Techopedia","isPartOf":{"@id":"https:\/\/www.techopedia.com\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.techopedia.com\/2\/31776\/trends\/big-data\/how-big-data-is-helping-the-insurance-industry#primaryimage"},"image":{"@id":"https:\/\/www.techopedia.com\/2\/31776\/trends\/big-data\/how-big-data-is-helping-the-insurance-industry#primaryimage"},"thumbnailUrl":"https:\/\/www.techopedia.com\/wp-content\/uploads\/2023\/02\/shelf-white-board-logo-trademark-furniture-poster-collage-indoors-inte-2.jpg","datePublished":"2016-07-06T00:00:00+00:00","dateModified":"2023-03-08T13:04:12+00:00","description":"Big data has been making a significant impact on the insurance industry. With the help of big data, insurance companies have been able to calculate risks more accurately and offer better premiums to customers, predict and...","breadcrumb":{"@id":"https:\/\/www.techopedia.com\/2\/31776\/trends\/big-data\/how-big-data-is-helping-the-insurance-industry#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.techopedia.com\/2\/31776\/trends\/big-data\/how-big-data-is-helping-the-insurance-industry"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.techopedia.com\/2\/31776\/trends\/big-data\/how-big-data-is-helping-the-insurance-industry#primaryimage","url":"https:\/\/www.techopedia.com\/wp-content\/uploads\/2023\/02\/shelf-white-board-logo-trademark-furniture-poster-collage-indoors-inte-2.jpg","contentUrl":"https:\/\/www.techopedia.com\/wp-content\/uploads\/2023\/02\/shelf-white-board-logo-trademark-furniture-poster-collage-indoors-inte-2.jpg","caption":"Ramcreativ\/Dreamstime.com"},{"@type":"BreadcrumbList","@id":"https:\/\/www.techopedia.com\/2\/31776\/trends\/big-data\/how-big-data-is-helping-the-insurance-industry#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.techopedia.com\/"},{"@type":"ListItem","position":2,"name":"Data Management","item":"https:\/\/www.techopedia.com\/topic\/20\/data-management"},{"@type":"ListItem","position":3,"name":"How Big Data Is Helping the Insurance Industry"}]},{"@type":"WebSite","@id":"https:\/\/www.techopedia.com\/#website","url":"https:\/\/www.techopedia.com\/","name":"Techopedia","description":"","publisher":{"@id":"https:\/\/www.techopedia.com\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.techopedia.com\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/www.techopedia.com\/#organization","name":"Techopedia","url":"https:\/\/www.techopedia.com\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.techopedia.com\/#\/schema\/logo\/image\/","url":"https:\/\/www.techopedia.com\/wp-content\/uploads\/2025\/02\/techopedia-light-logo.svg","contentUrl":"https:\/\/www.techopedia.com\/wp-content\/uploads\/2025\/02\/techopedia-light-logo.svg","caption":"Techopedia"},"image":{"@id":"https:\/\/www.techopedia.com\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/techopedia\/","https:\/\/x.com\/techopedia","https:\/\/www.linkedin.com\/company\/techopedia\/","https:\/\/www.youtube.com\/c\/Techopedia"],"publishingPrinciples":"https:\/\/www.techopedia.com\/about\/editorial-policy","ownershipFundingInfo":"https:\/\/www.techopedia.com\/about"},{"@type":"Person","@id":"https:\/\/www.techopedia.com\/#\/schema\/person\/d7df6d38ac044fdfba1f7ca2eb5f4034","name":"Kaushik Pal","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.techopedia.com\/#\/schema\/person\/image\/","url":"https:\/\/www.techopedia.com\/wp-content\/uploads\/2025\/02\/kaushik-pal-e-150x150.jpg","contentUrl":"https:\/\/www.techopedia.com\/wp-content\/uploads\/2025\/02\/kaushik-pal-e-150x150.jpg","caption":"Kaushik Pal"},"description":"Kaushik is a Technical Architect and Software Consultant with over 23 years of experience in software analysis, development, architecture, design, testing and training. He has an interest in new technologies and areas of innovation. He focuses on web architecture, web technologies, Java\/J2EE, open source software, WebRTC, big data and semantic technologies. He has demonstrated expertise in requirements analysis, architecture design and implementation, technical use cases and software development. His experience has spanned across industries like insurance, banking, airlines, shipping, document management and product development etc. He has worked on a wide range of technologies ranging from large scale (IBM S\/390), mid scale (AS\/400), web technologies, open source and big data. Kaushik is primarily involved in Java\/J2EE\/Open Source\/Web\/WebRTC\/Hadoop and Big Data technologies. Kaushik also founded TechAlpine, a technology blogging\/consulting firm in Kolkata. The TechAlpine team works with multiple clients in India and abroad and has expertise in Java\/J2EE\/open source\/web\/webRTC\/Hadoop\/big data technologies and technical writing.","sameAs":["https:\/\/techalpine.com\/","https:\/\/www.facebook.com\/techalpine","https:\/\/in.linkedin.com\/in\/kaushik-pal-36b36915","https:\/\/x.com\/https:\/\/twitter.com\/techalpine","https:\/\/www.youtube.com\/channel\/UCKSE-GsRz1GrGhvzy6hYHNQ?view_as=subscriber"],"knowsAbout":["Technology Specialist"],"url":"https:\/\/www.techopedia.com\/contributors\/kaushik-pal"}]}},"modified_by":"Techopedia Staff","_links":{"self":[{"href":"https:\/\/www.techopedia.com\/wp-json\/wp\/v2\/posts\/49449","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.techopedia.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.techopedia.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.techopedia.com\/wp-json\/wp\/v2\/users\/7870"}],"replies":[{"embeddable":true,"href":"https:\/\/www.techopedia.com\/wp-json\/wp\/v2\/comments?post=49449"}],"version-history":[{"count":0,"href":"https:\/\/www.techopedia.com\/wp-json\/wp\/v2\/posts\/49449\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.techopedia.com\/wp-json\/wp\/v2\/media\/49450"}],"wp:attachment":[{"href":"https:\/\/www.techopedia.com\/wp-json\/wp\/v2\/media?parent=49449"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.techopedia.com\/wp-json\/wp\/v2\/categories?post=49449"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.techopedia.com\/wp-json\/wp\/v2\/tags?post=49449"},{"taxonomy":"category_partsoff","embeddable":true,"href":"https:\/\/www.techopedia.com\/wp-json\/wp\/v2\/category_partsoff?post=49449"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}