{"id":3414,"date":"2023-05-18T15:57:54","date_gmt":"2023-05-18T14:57:54","guid":{"rendered":"https:\/\/www.calligo.io\/?post_type=case-studies&#038;p=3414"},"modified":"2023-12-08T15:46:25","modified_gmt":"2023-12-08T15:46:25","slug":"experian","status":"publish","type":"case-studies","link":"https:\/\/www.calligo.io\/client-success\/machine-learning-data-science\/experian\/","title":{"rendered":"Experian Fraud Reduction"},"content":{"rendered":"<style>.block-cs-content-two-column{padding:3em 0}@media (min-width: 992px){.block-cs-content-two-column{padding:6em 0}}.block-cs-content-two-column .heading{font-size:1.5rem;line-height:2rem;letter-spacing:0.02em;font-weight:400}@media (min-width: 992px){.block-cs-content-two-column .heading{font-size:2rem;line-height:2.5rem}}.block-cs-content-two-column .heading-col>*{max-width:32.875rem}.block-cs-content-two-column .content-col{color:#1e1e1e}@media (min-width: 992px){.block-cs-content-two-column .content-col{display:-webkit-box;display:-ms-flexbox;display:flex;-webkit-box-pack:end;-ms-flex-pack:end;justify-content:flex-end}}.block-cs-content-two-column .content-col>*{max-width:46.625rem}.block-cs-content-two-column .content-col p{letter-spacing:0.05em;margin-bottom:2rem;line-height:2rem}.block-cs-content-two-column .content-col p:not(.p--large) .block-cs-content-two-column .content-col p:not(.p--medium) .block-cs-content-two-column .content-col p:not(.p--small) .block-cs-content-two-column .content-col p:not(.p--x-small){font-size:16px}@media only screen and (min-width: 375px){.block-cs-content-two-column .content-col p:not(.p--large) .block-cs-content-two-column .content-col p:not(.p--medium) .block-cs-content-two-column .content-col p:not(.p--small) .block-cs-content-two-column .content-col p:not(.p--x-small){font-size:calc( 16px + 4 * (100vw - 375px) \/ (1346 - 375))}}@media only screen and (min-width: 1346px){.block-cs-content-two-column .content-col p:not(.p--large) .block-cs-content-two-column .content-col p:not(.p--medium) .block-cs-content-two-column .content-col p:not(.p--small) .block-cs-content-two-column .content-col p:not(.p--x-small){font-size:20px}}.block-cs-content-two-column .content-col p:last-child{margin-bottom:0}.block-cs-content-two-column.bg--primary .overline,.block-cs-content-two-column.bg--primary .heading,.block-cs-content-two-column.bg--primary .content-col{color:#fff}\n\n\/*# sourceMappingURL=block-case-study-content-two-column.css.map *\/\n<\/style><section id=\"\" class=\"block-cs-content-two-column    pad-bottom--0  m-bottom--1\">\n\t<div class=\"container\">\n\t\t<div class=\"row\">\n                            <div class=\"col-12\">\n                    <p class=\"overline\" data-aos=\"fade-up\">\n                        The Challenge                    <\/p>\n                <\/div>\n                        <div class=\"heading-col col-12 col-lg-6\">\n                <div data-aos=\"fade-up\">\n                    <h2 class=\"heading\">Experian hired Calligo to use their data to enhance their Experian Product Link scoring using Machine Learning to better identify fraudulent transactions.<\/h2>                <\/div>\n            <\/div>\n\t\t\t                <div class=\"content-col col-12 col-lg-6\">\n                    <div data-aos=\"fade-up\">\n                        <p>Experian had built a new ecommerce product that operates at the point of sale to determine how likely a transaction is to be fraudulent. It uses the customer data, matches them to a credit card in the Experian database, and returns a score on each attribute based on how well the provided information matches the data in the Experian database.<\/p>\n<p>The original model had a \u201cscore\u201d built on summary analytics and assumption with manually created values and calculations. The current test clients found the information presented to them too hard to interpret and needed both more details and simpler explanations to support their decision to accept or refer transactions.<\/p>\n<p>Experian needed a data scientist to improve their score and make it more interpretable to enable the sales team to better sell the product and give confidence to the companies that are using the model results to make decisions.<\/p>\n                    \n                    <\/div>\n                <\/div>\n\t\t\t        <\/div>\n\t<\/div>\n<\/section>\n\n\n<style>.block-cs-content-two-column{padding:3em 0}@media (min-width: 992px){.block-cs-content-two-column{padding:6em 0}}.block-cs-content-two-column .heading{font-size:1.5rem;line-height:2rem;letter-spacing:0.02em;font-weight:400}@media (min-width: 992px){.block-cs-content-two-column .heading{font-size:2rem;line-height:2.5rem}}.block-cs-content-two-column .heading-col>*{max-width:32.875rem}.block-cs-content-two-column .content-col{color:#1e1e1e}@media (min-width: 992px){.block-cs-content-two-column .content-col{display:-webkit-box;display:-ms-flexbox;display:flex;-webkit-box-pack:end;-ms-flex-pack:end;justify-content:flex-end}}.block-cs-content-two-column .content-col>*{max-width:46.625rem}.block-cs-content-two-column .content-col p{letter-spacing:0.05em;margin-bottom:2rem;line-height:2rem}.block-cs-content-two-column .content-col p:not(.p--large) .block-cs-content-two-column .content-col p:not(.p--medium) .block-cs-content-two-column .content-col p:not(.p--small) .block-cs-content-two-column .content-col p:not(.p--x-small){font-size:16px}@media only screen and (min-width: 375px){.block-cs-content-two-column .content-col p:not(.p--large) .block-cs-content-two-column .content-col p:not(.p--medium) .block-cs-content-two-column .content-col p:not(.p--small) .block-cs-content-two-column .content-col p:not(.p--x-small){font-size:calc( 16px + 4 * (100vw - 375px) \/ (1346 - 375))}}@media only screen and (min-width: 1346px){.block-cs-content-two-column .content-col p:not(.p--large) .block-cs-content-two-column .content-col p:not(.p--medium) .block-cs-content-two-column .content-col p:not(.p--small) .block-cs-content-two-column .content-col p:not(.p--x-small){font-size:20px}}.block-cs-content-two-column .content-col p:last-child{margin-bottom:0}.block-cs-content-two-column.bg--primary .overline,.block-cs-content-two-column.bg--primary .heading,.block-cs-content-two-column.bg--primary .content-col{color:#fff}\n\n\/*# sourceMappingURL=block-case-study-content-two-column.css.map *\/\n<\/style><section id=\"\" class=\"block-cs-content-two-column  bg--gray-primary    \">\n\t<div class=\"container\">\n\t\t<div class=\"row\">\n                            <div class=\"col-12\">\n                    <p class=\"overline\" data-aos=\"fade-up\">\n                        The Action                    <\/p>\n                <\/div>\n                        <div class=\"heading-col col-12 col-lg-6\">\n                <div data-aos=\"fade-up\">\n                    <h2 class=\"heading\">Calligo used a combination of Bayesian trees fit across multiple transactional profiles to assess the likelihood of fraud for each transaction. The scores were combined with an assessment of each customer\u2019s risk &#038; transaction profiles to identify likely cases of fraud.<\/h2>                <\/div>\n            <\/div>\n\t\t\t                <div class=\"content-col col-12 col-lg-6\">\n                    <div data-aos=\"fade-up\">\n                        <p>Following our Data Science by Design methodology, we found each of the customers had different fraud rates and transaction profiles which increased the difficulty of building a single machine learning model that would generalize across the population. To address this, we analyzed the statistical distributions of each data set and built individual Bayesian tree models for each client independently. Eventually combining them into a single tree that considered the underlying fraud rate and number of observations at each node. The meta model penalized inconsistencies across the datasets and could be adjusted by changing the weight of each of the customer trees to fit the different risk profiles of new clients.<\/p>\n<p>The model output was an increase or decrease in fraud for each transaction relative to a defined baseline fraud rate. Additionally, clients could see the impact of each feature on the prediction and the match rating of each attribute. Not only was the output easily interpretable, but it also provided clients with more information to aid with their criteria for accepting or referring transactions.<\/p>\n<p>Additional analysis could be supplied to individual clients to understand how the model could best be applied to their unique transactions and provide insights beyond the data available in the model such as transaction size. The model was built to be able to be customized for individual clients and provide insights based on their unique risk and transaction profile.<\/p>\n                    \n                    <\/div>\n                <\/div>\n\t\t\t        <\/div>\n\t<\/div>\n<\/section>\n\n\n<section id=\"\" class=\"block-content-two-column      \">\n\t<div class=\"container\">\n\t\t<div class=\"row\">\n                            <div class=\"col-12\">\n                    <p class=\"overline\">\n                        The Impact                    <\/p>\n                <\/div>\n                        <div class=\"heading-col col-12 col-lg-6\">\n                <div data-aos=\"fade-up\">\n\t\t\t        <h2 class=\"heading\">The pilot program was successful and initial client tests yielded positive results.<\/h2>                <\/div>\n            <\/div>\n\t\t\t                <div class=\"content-col col-12 col-lg-6\">\n                    <div data-aos=\"fade-up\">\n                        <p><span lang=\"EN-US\" style=\"font-family: Urbanist; color: #1e1e1e; letter-spacing: .6pt;\">The new product is currently being tested with a small set of clients. Initial feedback has been positive with clients excited about the increased explainability of the model and the new support for their decision making.<\/span><\/p>\n<p><span lang=\"EN-US\" style=\"font-family: Urbanist; color: #1e1e1e; letter-spacing: .6pt;\">Client specific analysis showed that 40% of all transactions could automatically be accepted and reduce the oversight for low-risk transactions. High-risk transactions were able to be automatically identified and flagged for manual review. Transactions flagged by the model had a fraud rate 6x higher than non-flagged transactions.<\/span><\/p>\n<p><span lang=\"EN-US\" style=\"font-family: Urbanist; color: #1e1e1e; letter-spacing: .6pt;\">Initial analysis estimated each client could save over $1 million a year using this product.<\/span><\/p>\n                    \n                    <\/div>\n                <\/div>\n\t\t\t        <\/div>\n\t<\/div>\n<\/section>\n\n\n<section id=\"\" class=\"block-imagelink-carousel      \">\n\t<div class=\"container\">\n\t\t<div class=\"row heading-row\">\n\t\t\t<div class=\"heading-col col-12 col-md-6\">\n                <div data-aos=\"fade-up\">\n\t\t\t        <h2 class=\"heading\">Related Case Studies<\/h2>                <\/div>\n            <\/div>\n\t\t\t<div class=\"content-col col-12 col-md-6\">\n                <div data-aos=\"fade-up\">\n                                    <\/div>\n            <\/div>\n        <\/div>\n        <div class=\"row g-0\">\n                                    <div class=\"col-12\">\n                            <div class=\"il-carousel\">\n                                                            <a href=\"https:\/\/www.calligo.io\/client-success\/machine-learning-data-science\/chipper-cash-payment-network-fraud-detection\/\" class=\"il-slide\">\n                                    <div class=\"il-slide-image-wrapper\">\n                                        <picture class=\"cs-slide-img behave-as-bg\" alt=\"\"><source media=\"(min-width: 576px)\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/5294\/00_Hero-398x210-c.png 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/5294\/00_Hero-796x420-c.png 2.000x\"> <source media=\"(min-width: 0px)\" data-src=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/5294\/00_Hero-398x210-c.png\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/5294\/00_Hero-398x210-c.png 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/5294\/00_Hero-796x420-c.png 2.000x\"> <img data-src=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/5294\/00_Hero-398x210-c.png\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/5294\/00_Hero-398x210-c.png 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/5294\/00_Hero-796x420-c.png 2.000x\" alt=\"\" width=\"398\" height=\"210\" class=\"lazyload\"><\/picture>                                \n                                    <\/div>\n                                    <div class=\"il-slide-content\">\n                                        <div class=\"il-slide-heading\">Chipper Cash &#8211; Global Payment Network Fraud Detection\u200b<\/div>\n                                        <span class=\"btn-arrow-only\"><span>Read more<\/span><\/span>\n                                    <\/div>\n                                <\/a>\n                                                                <a href=\"https:\/\/www.calligo.io\/client-success\/machine-learning-data-science\/bank-of-america-machine-learning-credit-approval\/\" class=\"il-slide\">\n                                    <div class=\"il-slide-image-wrapper\">\n                                        <picture class=\"cs-slide-img behave-as-bg\" alt=\"\"><source media=\"(min-width: 576px)\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/5292\/bank-of-america-corporate-branch-mk002_900xx5193-2921-0-271-398x210-c.jpg 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/5292\/bank-of-america-corporate-branch-mk002_900xx5193-2921-0-271-796x420-c.jpg 2.000x\"> <source media=\"(min-width: 0px)\" data-src=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/5292\/bank-of-america-corporate-branch-mk002_900xx5193-2921-0-271-398x210-c.jpg\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/5292\/bank-of-america-corporate-branch-mk002_900xx5193-2921-0-271-398x210-c.jpg 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/5292\/bank-of-america-corporate-branch-mk002_900xx5193-2921-0-271-796x420-c.jpg 2.000x\"> <img data-src=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/5292\/bank-of-america-corporate-branch-mk002_900xx5193-2921-0-271-398x210-c.jpg\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/5292\/bank-of-america-corporate-branch-mk002_900xx5193-2921-0-271-398x210-c.jpg 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/5292\/bank-of-america-corporate-branch-mk002_900xx5193-2921-0-271-796x420-c.jpg 2.000x\" alt=\"\" width=\"398\" height=\"210\" class=\"lazyload\"><\/picture>                                \n                                    <\/div>\n                                    <div class=\"il-slide-content\">\n                                        <div class=\"il-slide-heading\">Bank of America &#8211; Credit Card Approval Models<\/div>\n                                        <span class=\"btn-arrow-only\"><span>Read more<\/span><\/span>\n                                    <\/div>\n                                <\/a>\n                                                                <a href=\"https:\/\/www.calligo.io\/client-success\/machine-learning-data-science\/avista-predictive-repairs\/\" class=\"il-slide\">\n                                    <div class=\"il-slide-image-wrapper\">\n                                        <picture class=\"cs-slide-img behave-as-bg\" alt=\"Machine Learning predict replacements\"><source media=\"(min-width: 576px)\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4977\/a0fa729a-48d7-4814-b5bb-bd71a3f0cfa8_750x422-398x210-c.jpg 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4977\/a0fa729a-48d7-4814-b5bb-bd71a3f0cfa8_750x422-750x395-c.jpg 1.884x\"> <source media=\"(min-width: 0px)\" data-src=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4977\/a0fa729a-48d7-4814-b5bb-bd71a3f0cfa8_750x422-398x210-c.jpg\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4977\/a0fa729a-48d7-4814-b5bb-bd71a3f0cfa8_750x422-398x210-c.jpg 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4977\/a0fa729a-48d7-4814-b5bb-bd71a3f0cfa8_750x422-750x395-c.jpg 1.884x\"> <img data-src=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4977\/a0fa729a-48d7-4814-b5bb-bd71a3f0cfa8_750x422-398x210-c.jpg\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4977\/a0fa729a-48d7-4814-b5bb-bd71a3f0cfa8_750x422-398x210-c.jpg 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4977\/a0fa729a-48d7-4814-b5bb-bd71a3f0cfa8_750x422-750x395-c.jpg 1.884x\" alt=\"Machine Learning predict replacements\" width=\"398\" height=\"210\" class=\"lazyload\"><\/picture>                                \n                                    <\/div>\n                                    <div class=\"il-slide-content\">\n                                        <div class=\"il-slide-heading\">Avista Predictive Repairs<\/div>\n                                        <span class=\"btn-arrow-only\"><span>Read more<\/span><\/span>\n                                    <\/div>\n                                <\/a>\n                                                                <a href=\"https:\/\/www.calligo.io\/client-success\/machine-learning-data-science\/h-e-b-predict-buying-trends\/\" class=\"il-slide\">\n                                    <div class=\"il-slide-image-wrapper\">\n                                        <picture class=\"cs-slide-img behave-as-bg\" alt=\"\"><source media=\"(min-width: 576px)\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1106\/112522-fall-produce-module-desktop-320x320-1-398x210-c.png 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1106\/112522-fall-produce-module-desktop-320x320-1-615x324-c.png 1.545x\"> <source media=\"(min-width: 0px)\" data-src=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1106\/112522-fall-produce-module-desktop-320x320-1-398x210-c.png\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1106\/112522-fall-produce-module-desktop-320x320-1-398x210-c.png 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1106\/112522-fall-produce-module-desktop-320x320-1-615x324-c.png 1.545x\"> <img data-src=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1106\/112522-fall-produce-module-desktop-320x320-1-398x210-c.png\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1106\/112522-fall-produce-module-desktop-320x320-1-398x210-c.png 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1106\/112522-fall-produce-module-desktop-320x320-1-615x324-c.png 1.545x\" alt=\"\" width=\"398\" height=\"210\" class=\"lazyload\"><\/picture>                                \n                                    <\/div>\n                                    <div class=\"il-slide-content\">\n                                        <div class=\"il-slide-heading\">H-E-B Predict Buying Trends<\/div>\n                                        <span class=\"btn-arrow-only\"><span>Read more<\/span><\/span>\n                                    <\/div>\n                                <\/a>\n                                                                <a href=\"https:\/\/www.calligo.io\/client-success\/machine-learning-data-science\/microsoft-sales-plays\/\" class=\"il-slide\">\n                                    <div class=\"il-slide-image-wrapper\">\n                                        <picture class=\"cs-slide-img behave-as-bg\" alt=\"\"><source media=\"(min-width: 576px)\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1134\/tadas-sar-T01GZhBSyMQ-unsplash-1-398x210-c.png 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1134\/tadas-sar-T01GZhBSyMQ-unsplash-1-398x210-c.png 1.000x\"> <source media=\"(min-width: 0px)\" data-src=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1134\/tadas-sar-T01GZhBSyMQ-unsplash-1-398x210-c.png\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1134\/tadas-sar-T01GZhBSyMQ-unsplash-1-398x210-c.png 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1134\/tadas-sar-T01GZhBSyMQ-unsplash-1-398x210-c.png 1.000x\"> <img data-src=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1134\/tadas-sar-T01GZhBSyMQ-unsplash-1-398x210-c.png\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1134\/tadas-sar-T01GZhBSyMQ-unsplash-1-398x210-c.png 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1134\/tadas-sar-T01GZhBSyMQ-unsplash-1-398x210-c.png 1.000x\" alt=\"\" width=\"398\" height=\"210\" class=\"lazyload\"><\/picture>                                \n                                    <\/div>\n                                    <div class=\"il-slide-content\">\n                                        <div class=\"il-slide-heading\">Microsoft Azure Growth &amp; Adoption<\/div>\n                                        <span class=\"btn-arrow-only\"><span>Read more<\/span><\/span>\n                                    <\/div>\n                                <\/a>\n                                                                <a href=\"https:\/\/www.calligo.io\/client-success\/machine-learning-data-science\/bank-of-oklahoma-employee-attrition\/\" class=\"il-slide\">\n                                    <div class=\"il-slide-image-wrapper\">\n                                        <picture class=\"cs-slide-img behave-as-bg\" alt=\"\"><source media=\"(min-width: 576px)\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4954\/download-398x210-c.webp 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4954\/download-796x420-c.webp 2.000x\"> <source media=\"(min-width: 0px)\" data-src=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4954\/download-398x210-c.webp\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4954\/download-398x210-c.webp 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4954\/download-796x420-c.webp 2.000x\"> <img data-src=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4954\/download-398x210-c.webp\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4954\/download-398x210-c.webp 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4954\/download-796x420-c.webp 2.000x\" alt=\"\" width=\"398\" height=\"210\" class=\"lazyload\"><\/picture>                                \n                                    <\/div>\n                                    <div class=\"il-slide-content\">\n                                        <div class=\"il-slide-heading\">Bank of Oklahoma Employee Attrition<\/div>\n                                        <span class=\"btn-arrow-only\"><span>Read more<\/span><\/span>\n                                    <\/div>\n                                <\/a>\n                                                                <a href=\"https:\/\/www.calligo.io\/client-success\/machine-learning-data-science\/cymer-maximize-service-revenue\/\" class=\"il-slide\">\n                                    <div class=\"il-slide-image-wrapper\">\n                                        <picture class=\"cs-slide-img behave-as-bg\" alt=\"\"><source media=\"(min-width: 576px)\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1505\/manufacturing-sector-scaled-398x210-c.jpg 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1505\/manufacturing-sector-scaled-796x420-c.jpg 2.000x\"> <source media=\"(min-width: 0px)\" data-src=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1505\/manufacturing-sector-scaled-398x210-c.jpg\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1505\/manufacturing-sector-scaled-398x210-c.jpg 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1505\/manufacturing-sector-scaled-796x420-c.jpg 2.000x\"> <img data-src=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1505\/manufacturing-sector-scaled-398x210-c.jpg\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1505\/manufacturing-sector-scaled-398x210-c.jpg 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1505\/manufacturing-sector-scaled-796x420-c.jpg 2.000x\" alt=\"\" width=\"398\" height=\"210\" class=\"lazyload\"><\/picture>                                \n                                    <\/div>\n                                    <div class=\"il-slide-content\">\n                                        <div class=\"il-slide-heading\">Cymer Maximize Service Revenue<\/div>\n                                        <span class=\"btn-arrow-only\"><span>Read more<\/span><\/span>\n                                    <\/div>\n                                <\/a>\n                                                                <a href=\"https:\/\/www.calligo.io\/client-success\/machine-learning-data-science\/living-spaces\/\" class=\"il-slide\">\n                                    <div class=\"il-slide-image-wrapper\">\n                                        <picture class=\"cs-slide-img behave-as-bg\" alt=\"\"><source media=\"(min-width: 576px)\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4849\/og-default-398x210-c.jpg 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4849\/og-default-796x420-c.jpg 2.000x\"> <source media=\"(min-width: 0px)\" data-src=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4849\/og-default-398x210-c.jpg\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4849\/og-default-398x210-c.jpg 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4849\/og-default-796x420-c.jpg 2.000x\"> <img data-src=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4849\/og-default-398x210-c.jpg\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4849\/og-default-398x210-c.jpg 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4849\/og-default-796x420-c.jpg 2.000x\" alt=\"\" width=\"398\" height=\"210\" class=\"lazyload\"><\/picture>                                \n                                    <\/div>\n                                    <div class=\"il-slide-content\">\n                                        <div class=\"il-slide-heading\">Living Spaces Customer Insights<\/div>\n                                        <span class=\"btn-arrow-only\"><span>Read more<\/span><\/span>\n                                    <\/div>\n                                <\/a>\n                                                                <a href=\"https:\/\/www.calligo.io\/client-success\/machine-learning-data-science\/starbucks\/\" class=\"il-slide\">\n                                    <div class=\"il-slide-image-wrapper\">\n                                        <picture class=\"cs-slide-img behave-as-bg\" alt=\"\"><source media=\"(min-width: 576px)\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4707\/Starbucks-Bugibba-56.jpg-398x210-c.webp 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4707\/Starbucks-Bugibba-56.jpg-560x295-c.webp 1.407x\"> <source media=\"(min-width: 0px)\" data-src=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4707\/Starbucks-Bugibba-56.jpg-398x210-c.webp\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4707\/Starbucks-Bugibba-56.jpg-398x210-c.webp 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4707\/Starbucks-Bugibba-56.jpg-560x295-c.webp 1.407x\"> <img data-src=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4707\/Starbucks-Bugibba-56.jpg-398x210-c.webp\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4707\/Starbucks-Bugibba-56.jpg-398x210-c.webp 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4707\/Starbucks-Bugibba-56.jpg-560x295-c.webp 1.407x\" alt=\"\" width=\"398\" height=\"210\" class=\"lazyload\"><\/picture>                                \n                                    <\/div>\n                                    <div class=\"il-slide-content\">\n                                        <div class=\"il-slide-heading\">Starbucks Staff Optimization<\/div>\n                                        <span class=\"btn-arrow-only\"><span>Read more<\/span><\/span>\n                                    <\/div>\n                                <\/a>\n                                                                <a href=\"https:\/\/www.calligo.io\/client-success\/machine-learning-data-science\/juniper-networks\/\" class=\"il-slide\">\n                                    <div class=\"il-slide-image-wrapper\">\n                                        <picture class=\"cs-slide-img behave-as-bg\" alt=\"\"><source media=\"(min-width: 576px)\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4367\/juniper-398x210-c.jpeg 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4367\/juniper-796x420-c.jpeg 2.000x\"> <source media=\"(min-width: 0px)\" data-src=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4367\/juniper-398x210-c.jpeg\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4367\/juniper-398x210-c.jpeg 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4367\/juniper-796x420-c.jpeg 2.000x\"> <img data-src=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4367\/juniper-398x210-c.jpeg\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4367\/juniper-398x210-c.jpeg 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4367\/juniper-796x420-c.jpeg 2.000x\" alt=\"\" width=\"398\" height=\"210\" class=\"lazyload\"><\/picture>                                \n                                    <\/div>\n                                    <div class=\"il-slide-content\">\n                                        <div class=\"il-slide-heading\">Juniper Networks Predict Failures<\/div>\n                                        <span class=\"btn-arrow-only\"><span>Read more<\/span><\/span>\n                                    <\/div>\n                                <\/a>\n                                                                <a href=\"https:\/\/www.calligo.io\/client-success\/machine-learning-data-science\/united-nations\/\" class=\"il-slide\">\n                                    <div class=\"il-slide-image-wrapper\">\n                                        <picture class=\"cs-slide-img behave-as-bg\" alt=\"\"><source media=\"(min-width: 576px)\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4215\/Flag_of_the_United_Nations.svg-398x210-c.png 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4215\/Flag_of_the_United_Nations.svg-796x420-c.png 2.000x\"> <source media=\"(min-width: 0px)\" data-src=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4215\/Flag_of_the_United_Nations.svg-398x210-c.png\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4215\/Flag_of_the_United_Nations.svg-398x210-c.png 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4215\/Flag_of_the_United_Nations.svg-796x420-c.png 2.000x\"> <img data-src=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4215\/Flag_of_the_United_Nations.svg-398x210-c.png\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4215\/Flag_of_the_United_Nations.svg-398x210-c.png 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4215\/Flag_of_the_United_Nations.svg-796x420-c.png 2.000x\" alt=\"\" width=\"398\" height=\"210\" class=\"lazyload\"><\/picture>                                \n                                    <\/div>\n                                    <div class=\"il-slide-content\">\n                                        <div class=\"il-slide-heading\">United Nations Sustainability<\/div>\n                                        <span class=\"btn-arrow-only\"><span>Read more<\/span><\/span>\n                                    <\/div>\n                                <\/a>\n                                                                <a href=\"https:\/\/www.calligo.io\/client-success\/machine-learning-data-science\/eg-business-metrics\/\" class=\"il-slide\">\n                                    <div class=\"il-slide-image-wrapper\">\n                                        <picture class=\"cs-slide-img behave-as-bg\" alt=\"eg business metrics\"><source media=\"(min-width: 576px)\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4737\/eg-business-metrics-398x210-c.jpg 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4737\/eg-business-metrics-796x420-c.jpg 2.000x\"> <source media=\"(min-width: 0px)\" data-src=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4737\/eg-business-metrics-398x210-c.jpg\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4737\/eg-business-metrics-398x210-c.jpg 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4737\/eg-business-metrics-796x420-c.jpg 2.000x\"> <img data-src=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4737\/eg-business-metrics-398x210-c.jpg\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4737\/eg-business-metrics-398x210-c.jpg 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4737\/eg-business-metrics-796x420-c.jpg 2.000x\" alt=\"eg business metrics\" width=\"398\" height=\"210\" class=\"lazyload\"><\/picture>                                \n                                    <\/div>\n                                    <div class=\"il-slide-content\">\n                                        <div class=\"il-slide-heading\">EG Business Metrics<\/div>\n                                        <span class=\"btn-arrow-only\"><span>Read more<\/span><\/span>\n                                    <\/div>\n                                <\/a>\n                                                                <a href=\"https:\/\/www.calligo.io\/client-success\/machine-learning-data-science\/fletcher-jones\/\" class=\"il-slide\">\n                                    <div class=\"il-slide-image-wrapper\">\n                                        <picture class=\"cs-slide-img behave-as-bg\" alt=\"\"><source media=\"(min-width: 576px)\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4021\/fletcher-398x210-c.jpg 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4021\/fletcher-700x369-c.jpg 1.759x\"> <source media=\"(min-width: 0px)\" data-src=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4021\/fletcher-398x210-c.jpg\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4021\/fletcher-398x210-c.jpg 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4021\/fletcher-700x369-c.jpg 1.759x\"> <img data-src=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4021\/fletcher-398x210-c.jpg\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4021\/fletcher-398x210-c.jpg 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/4021\/fletcher-700x369-c.jpg 1.759x\" alt=\"\" width=\"398\" height=\"210\" class=\"lazyload\"><\/picture>                                \n                                    <\/div>\n                                    <div class=\"il-slide-content\">\n                                        <div class=\"il-slide-heading\">Fletcher Jones<\/div>\n                                        <span class=\"btn-arrow-only\"><span>Read more<\/span><\/span>\n                                    <\/div>\n                                <\/a>\n                                                                <a href=\"https:\/\/www.calligo.io\/client-success\/machine-learning-data-science\/a-us-national-tire-distributor\/\" class=\"il-slide\">\n                                    <div class=\"il-slide-image-wrapper\">\n                                        <picture class=\"cs-slide-img behave-as-bg\" alt=\"\"><source media=\"(min-width: 576px)\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/2614\/goh-rhy-yan-ud0twV98uvg-unsplash-scaled-398x210-c.jpg 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/2614\/goh-rhy-yan-ud0twV98uvg-unsplash-scaled-796x420-c.jpg 2.000x\"> <source media=\"(min-width: 0px)\" data-src=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/2614\/goh-rhy-yan-ud0twV98uvg-unsplash-scaled-398x210-c.jpg\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/2614\/goh-rhy-yan-ud0twV98uvg-unsplash-scaled-398x210-c.jpg 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/2614\/goh-rhy-yan-ud0twV98uvg-unsplash-scaled-796x420-c.jpg 2.000x\"> <img data-src=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/2614\/goh-rhy-yan-ud0twV98uvg-unsplash-scaled-398x210-c.jpg\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/2614\/goh-rhy-yan-ud0twV98uvg-unsplash-scaled-398x210-c.jpg 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/2614\/goh-rhy-yan-ud0twV98uvg-unsplash-scaled-796x420-c.jpg 2.000x\" alt=\"\" width=\"398\" height=\"210\" class=\"lazyload\"><\/picture>                                \n                                    <\/div>\n                                    <div class=\"il-slide-content\">\n                                        <div class=\"il-slide-heading\">National Tire Distributor Optimize Demand<\/div>\n                                        <span class=\"btn-arrow-only\"><span>Read more<\/span><\/span>\n                                    <\/div>\n                                <\/a>\n                                                                <a href=\"https:\/\/www.calligo.io\/client-success\/machine-learning-data-science\/cymer\/\" class=\"il-slide\">\n                                    <div class=\"il-slide-image-wrapper\">\n                                        <picture class=\"cs-slide-img behave-as-bg\" alt=\"\"><source media=\"(min-width: 576px)\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1505\/manufacturing-sector-scaled-398x210-c.jpg 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1505\/manufacturing-sector-scaled-796x420-c.jpg 2.000x\"> <source media=\"(min-width: 0px)\" data-src=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1505\/manufacturing-sector-scaled-398x210-c.jpg\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1505\/manufacturing-sector-scaled-398x210-c.jpg 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1505\/manufacturing-sector-scaled-796x420-c.jpg 2.000x\"> <img data-src=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1505\/manufacturing-sector-scaled-398x210-c.jpg\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1505\/manufacturing-sector-scaled-398x210-c.jpg 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1505\/manufacturing-sector-scaled-796x420-c.jpg 2.000x\" alt=\"\" width=\"398\" height=\"210\" class=\"lazyload\"><\/picture>                                \n                                    <\/div>\n                                    <div class=\"il-slide-content\">\n                                        <div class=\"il-slide-heading\">Cymer Supplier Degradation<\/div>\n                                        <span class=\"btn-arrow-only\"><span>Read more<\/span><\/span>\n                                    <\/div>\n                                <\/a>\n                                                                <a href=\"https:\/\/www.calligo.io\/client-success\/machine-learning-data-science\/acorn\/\" class=\"il-slide\">\n                                    <div class=\"il-slide-image-wrapper\">\n                                        <picture class=\"cs-slide-img behave-as-bg\" alt=\"\"><source media=\"(min-width: 576px)\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1135\/unnamed-2-1-398x210-c.png 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1135\/unnamed-2-1-398x210-c.png 1.000x\"> <source media=\"(min-width: 0px)\" data-src=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1135\/unnamed-2-1-398x210-c.png\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1135\/unnamed-2-1-398x210-c.png 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1135\/unnamed-2-1-398x210-c.png 1.000x\"> <img data-src=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1135\/unnamed-2-1-398x210-c.png\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1135\/unnamed-2-1-398x210-c.png 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1135\/unnamed-2-1-398x210-c.png 1.000x\" alt=\"\" width=\"398\" height=\"210\" class=\"lazyload\"><\/picture>                                \n                                    <\/div>\n                                    <div class=\"il-slide-content\">\n                                        <div class=\"il-slide-heading\">Acorn Price Optimization<\/div>\n                                        <span class=\"btn-arrow-only\"><span>Read more<\/span><\/span>\n                                    <\/div>\n                                <\/a>\n                                                                <a href=\"https:\/\/www.calligo.io\/client-success\/machine-learning-data-science\/heb-stores\/\" class=\"il-slide\">\n                                    <div class=\"il-slide-image-wrapper\">\n                                        <picture class=\"cs-slide-img behave-as-bg\" alt=\"\"><source media=\"(min-width: 576px)\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1106\/112522-fall-produce-module-desktop-320x320-1-398x210-c.png 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1106\/112522-fall-produce-module-desktop-320x320-1-615x324-c.png 1.545x\"> <source media=\"(min-width: 0px)\" data-src=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1106\/112522-fall-produce-module-desktop-320x320-1-398x210-c.png\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1106\/112522-fall-produce-module-desktop-320x320-1-398x210-c.png 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1106\/112522-fall-produce-module-desktop-320x320-1-615x324-c.png 1.545x\"> <img data-src=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1106\/112522-fall-produce-module-desktop-320x320-1-398x210-c.png\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1106\/112522-fall-produce-module-desktop-320x320-1-398x210-c.png 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1106\/112522-fall-produce-module-desktop-320x320-1-615x324-c.png 1.545x\" alt=\"\" width=\"398\" height=\"210\" class=\"lazyload\"><\/picture>                                \n                                    <\/div>\n                                    <div class=\"il-slide-content\">\n                                        <div class=\"il-slide-heading\">H-E-B Product Recommendation<\/div>\n                                        <span class=\"btn-arrow-only\"><span>Read more<\/span><\/span>\n                                    <\/div>\n                                <\/a>\n                                                                <a href=\"https:\/\/www.calligo.io\/client-success\/machine-learning-data-science\/microsoft\/\" class=\"il-slide\">\n                                    <div class=\"il-slide-image-wrapper\">\n                                        <picture class=\"cs-slide-img behave-as-bg\" alt=\"\"><source media=\"(min-width: 576px)\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1134\/tadas-sar-T01GZhBSyMQ-unsplash-1-398x210-c.png 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1134\/tadas-sar-T01GZhBSyMQ-unsplash-1-398x210-c.png 1.000x\"> <source media=\"(min-width: 0px)\" data-src=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1134\/tadas-sar-T01GZhBSyMQ-unsplash-1-398x210-c.png\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1134\/tadas-sar-T01GZhBSyMQ-unsplash-1-398x210-c.png 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1134\/tadas-sar-T01GZhBSyMQ-unsplash-1-398x210-c.png 1.000x\"> <img data-src=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1134\/tadas-sar-T01GZhBSyMQ-unsplash-1-398x210-c.png\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1134\/tadas-sar-T01GZhBSyMQ-unsplash-1-398x210-c.png 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1134\/tadas-sar-T01GZhBSyMQ-unsplash-1-398x210-c.png 1.000x\" alt=\"\" width=\"398\" height=\"210\" class=\"lazyload\"><\/picture>                                \n                                    <\/div>\n                                    <div class=\"il-slide-content\">\n                                        <div class=\"il-slide-heading\">Microsoft Marketing Optimization<\/div>\n                                        <span class=\"btn-arrow-only\"><span>Read more<\/span><\/span>\n                                    <\/div>\n                                <\/a>\n                                                                <a href=\"https:\/\/www.calligo.io\/client-success\/machine-learning-data-science\/t-mobile\/\" class=\"il-slide\">\n                                    <div class=\"il-slide-image-wrapper\">\n                                        <picture class=\"cs-slide-img behave-as-bg\" alt=\"\"><source media=\"(min-width: 576px)\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1136\/becca-tapert-QofjUnxy9LY-unsplash-2-398x210-c.png 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1136\/becca-tapert-QofjUnxy9LY-unsplash-2-398x210-c.png 1.000x\"> <source media=\"(min-width: 0px)\" data-src=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1136\/becca-tapert-QofjUnxy9LY-unsplash-2-398x210-c.png\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1136\/becca-tapert-QofjUnxy9LY-unsplash-2-398x210-c.png 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1136\/becca-tapert-QofjUnxy9LY-unsplash-2-398x210-c.png 1.000x\"> <img data-src=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1136\/becca-tapert-QofjUnxy9LY-unsplash-2-398x210-c.png\" data-srcset=\"https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1136\/becca-tapert-QofjUnxy9LY-unsplash-2-398x210-c.png 1.000x,https:\/\/www.calligo.io\/wp-content\/uploads\/fly-images\/1136\/becca-tapert-QofjUnxy9LY-unsplash-2-398x210-c.png 1.000x\" alt=\"\" width=\"398\" height=\"210\" class=\"lazyload\"><\/picture>                                \n                                    <\/div>\n                                    <div class=\"il-slide-content\">\n                                        <div class=\"il-slide-heading\">T-Mobile &amp; Sprint Merger<\/div>\n                                        <span class=\"btn-arrow-only\"><span>Read more<\/span><\/span>\n                                    <\/div>\n                                <\/a>\n                                                            <\/div>\n                            <div class=\"slick--navelements\">\n                                <div class=\"slick--arrow-wrap\">\n                                    <div class=\"slides--numbers\">\n                                        <span class=\"active\">1<\/span> of <span class=\"total\"><\/span>\n                                    <\/div>\n                                    <button class=\"slick-arrow slick-arrow--prev\"><\/button>\n                                    <button class=\"slick-arrow slick-arrow--next\"><\/button>\n                                <\/div>\n                                <div class=\"slick--progress\" role=\"progressbar\" aria-valuemin=\"0\" aria-valuemax=\"100\">\n                                    <span class=\"slider__label sr-only\"><\/span>\n                                <\/div>\n                            <\/div>\n                        <\/div>\n                            <\/div>\n\t<\/div>\n<\/section>\n\n","protected":false},"excerpt":{"rendered":"","protected":false},"featured_media":3415,"template":"","cs_category":[10],"class_list":["post-3414","case-studies","type-case-studies","status-publish","has-post-thumbnail","hentry","cs_category-machine-learning-data-science"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>ML project to better identify fraudulent transactions for Experian<\/title>\n<meta name=\"description\" content=\"Experian hired Calligo to use their data to enhance their Experian Product Link scoring using ML to better identify fraudulent transactions\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.calligo.io\/client-success\/machine-learning-data-science\/experian\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"ML project to better identify fraudulent transactions for Experian\" \/>\n<meta property=\"og:description\" content=\"Experian hired Calligo to use their data to enhance their Experian Product Link scoring using ML to better identify fraudulent transactions\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.calligo.io\/client-success\/machine-learning-data-science\/experian\/\" \/>\n<meta property=\"og:site_name\" content=\"Calligo\" \/>\n<meta property=\"article:modified_time\" content=\"2023-12-08T15:46:25+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.calligo.io\/wp-content\/uploads\/2023\/05\/News-Experian-Create-Your-Credit-Score-scaled.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"2560\" \/>\n\t<meta property=\"og:image:height\" content=\"1707\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@calligocloud\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.calligo.io\/client-success\/machine-learning-data-science\/experian\/\",\"url\":\"https:\/\/www.calligo.io\/client-success\/machine-learning-data-science\/experian\/\",\"name\":\"ML project to better identify fraudulent transactions for Experian\",\"isPartOf\":{\"@id\":\"https:\/\/www.calligo.io\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.calligo.io\/client-success\/machine-learning-data-science\/experian\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.calligo.io\/client-success\/machine-learning-data-science\/experian\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.calligo.io\/wp-content\/uploads\/2023\/05\/News-Experian-Create-Your-Credit-Score-scaled.jpg\",\"datePublished\":\"2023-05-18T14:57:54+00:00\",\"dateModified\":\"2023-12-08T15:46:25+00:00\",\"description\":\"Experian hired Calligo to use their data to enhance their Experian Product Link scoring using ML to better identify fraudulent transactions\",\"breadcrumb\":{\"@id\":\"https:\/\/www.calligo.io\/client-success\/machine-learning-data-science\/experian\/#breadcrumb\"},\"inLanguage\":\"en-GB\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.calligo.io\/client-success\/machine-learning-data-science\/experian\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-GB\",\"@id\":\"https:\/\/www.calligo.io\/client-success\/machine-learning-data-science\/experian\/#primaryimage\",\"url\":\"https:\/\/www.calligo.io\/wp-content\/uploads\/2023\/05\/News-Experian-Create-Your-Credit-Score-scaled.jpg\",\"contentUrl\":\"https:\/\/www.calligo.io\/wp-content\/uploads\/2023\/05\/News-Experian-Create-Your-Credit-Score-scaled.jpg\",\"width\":2560,\"height\":1707,\"caption\":\"News-Experian-Create-Your-Credit-Score\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.calligo.io\/client-success\/machine-learning-data-science\/experian\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.calligo.io\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Experian Fraud Reduction\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.calligo.io\/#website\",\"url\":\"https:\/\/www.calligo.io\/\",\"name\":\"Calligo\",\"description\":\"Building value through data\",\"publisher\":{\"@id\":\"https:\/\/www.calligo.io\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.calligo.io\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-GB\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/www.calligo.io\/#organization\",\"name\":\"Calligo\",\"url\":\"https:\/\/www.calligo.io\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-GB\",\"@id\":\"https:\/\/www.calligo.io\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/www.calligo.io\/wp-content\/uploads\/2023\/04\/calligo-og.jpg\",\"contentUrl\":\"https:\/\/www.calligo.io\/wp-content\/uploads\/2023\/04\/calligo-og.jpg\",\"width\":1200,\"height\":630,\"caption\":\"Calligo\"},\"image\":{\"@id\":\"https:\/\/www.calligo.io\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/x.com\/calligocloud\",\"https:\/\/www.linkedin.com\/company\/calligo-limited\/\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"ML project to better identify fraudulent transactions for Experian","description":"Experian hired Calligo to use their data to enhance their Experian Product Link scoring using ML to better identify fraudulent transactions","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.calligo.io\/client-success\/machine-learning-data-science\/experian\/","og_locale":"en_GB","og_type":"article","og_title":"ML project to better identify fraudulent transactions for Experian","og_description":"Experian hired Calligo to use their data to enhance their Experian Product Link scoring using ML to better identify fraudulent transactions","og_url":"https:\/\/www.calligo.io\/client-success\/machine-learning-data-science\/experian\/","og_site_name":"Calligo","article_modified_time":"2023-12-08T15:46:25+00:00","og_image":[{"width":2560,"height":1707,"url":"https:\/\/www.calligo.io\/wp-content\/uploads\/2023\/05\/News-Experian-Create-Your-Credit-Score-scaled.jpg","type":"image\/jpeg"}],"twitter_card":"summary_large_image","twitter_site":"@calligocloud","schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/www.calligo.io\/client-success\/machine-learning-data-science\/experian\/","url":"https:\/\/www.calligo.io\/client-success\/machine-learning-data-science\/experian\/","name":"ML project to better identify fraudulent transactions for Experian","isPartOf":{"@id":"https:\/\/www.calligo.io\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.calligo.io\/client-success\/machine-learning-data-science\/experian\/#primaryimage"},"image":{"@id":"https:\/\/www.calligo.io\/client-success\/machine-learning-data-science\/experian\/#primaryimage"},"thumbnailUrl":"https:\/\/www.calligo.io\/wp-content\/uploads\/2023\/05\/News-Experian-Create-Your-Credit-Score-scaled.jpg","datePublished":"2023-05-18T14:57:54+00:00","dateModified":"2023-12-08T15:46:25+00:00","description":"Experian hired Calligo to use their data to enhance their Experian Product Link scoring using ML to better identify fraudulent transactions","breadcrumb":{"@id":"https:\/\/www.calligo.io\/client-success\/machine-learning-data-science\/experian\/#breadcrumb"},"inLanguage":"en-GB","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.calligo.io\/client-success\/machine-learning-data-science\/experian\/"]}]},{"@type":"ImageObject","inLanguage":"en-GB","@id":"https:\/\/www.calligo.io\/client-success\/machine-learning-data-science\/experian\/#primaryimage","url":"https:\/\/www.calligo.io\/wp-content\/uploads\/2023\/05\/News-Experian-Create-Your-Credit-Score-scaled.jpg","contentUrl":"https:\/\/www.calligo.io\/wp-content\/uploads\/2023\/05\/News-Experian-Create-Your-Credit-Score-scaled.jpg","width":2560,"height":1707,"caption":"News-Experian-Create-Your-Credit-Score"},{"@type":"BreadcrumbList","@id":"https:\/\/www.calligo.io\/client-success\/machine-learning-data-science\/experian\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.calligo.io\/"},{"@type":"ListItem","position":2,"name":"Experian Fraud Reduction"}]},{"@type":"WebSite","@id":"https:\/\/www.calligo.io\/#website","url":"https:\/\/www.calligo.io\/","name":"Calligo","description":"Building value through data","publisher":{"@id":"https:\/\/www.calligo.io\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.calligo.io\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-GB"},{"@type":"Organization","@id":"https:\/\/www.calligo.io\/#organization","name":"Calligo","url":"https:\/\/www.calligo.io\/","logo":{"@type":"ImageObject","inLanguage":"en-GB","@id":"https:\/\/www.calligo.io\/#\/schema\/logo\/image\/","url":"https:\/\/www.calligo.io\/wp-content\/uploads\/2023\/04\/calligo-og.jpg","contentUrl":"https:\/\/www.calligo.io\/wp-content\/uploads\/2023\/04\/calligo-og.jpg","width":1200,"height":630,"caption":"Calligo"},"image":{"@id":"https:\/\/www.calligo.io\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/x.com\/calligocloud","https:\/\/www.linkedin.com\/company\/calligo-limited\/"]}]}},"_links":{"self":[{"href":"https:\/\/www.calligo.io\/wp-json\/wp\/v2\/case-studies\/3414","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.calligo.io\/wp-json\/wp\/v2\/case-studies"}],"about":[{"href":"https:\/\/www.calligo.io\/wp-json\/wp\/v2\/types\/case-studies"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.calligo.io\/wp-json\/wp\/v2\/media\/3415"}],"wp:attachment":[{"href":"https:\/\/www.calligo.io\/wp-json\/wp\/v2\/media?parent=3414"}],"wp:term":[{"taxonomy":"cs_category","embeddable":true,"href":"https:\/\/www.calligo.io\/wp-json\/wp\/v2\/cs_category?post=3414"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}