{"id":32227,"date":"2023-04-29T06:00:00","date_gmt":"2023-04-29T13:00:00","guid":{"rendered":"https:\/\/insidebigdata.com\/?p=32227"},"modified":"2023-04-30T11:56:36","modified_gmt":"2023-04-30T18:56:36","slug":"the-4-ingredients-for-accurate-supply-chain-data-synchronization","status":"publish","type":"post","link":"https:\/\/insidebigdata.com\/2023\/04\/29\/the-4-ingredients-for-accurate-supply-chain-data-synchronization\/","title":{"rendered":"The 4 Ingredients for Accurate Supply Chain Data Synchronization"},"content":{"rendered":"\n<p>Brands face an increasing demand for information about their products. Consumers spend more time researching and reviewing product content, leading to increased scrutiny of product data through all steps of the fulfillment process. In fact, for a significant online purchase, more than 50% of consumers research at least four products and nearly 90% visit multiple websites.<\/p>\n\n\n\n<p>As a brand\u2019s supply chain data responsibility evolves, so do the possibilities for content to provide value. Siloed data or a lack of clarity about changes to content expectations, regulations or business processes make it challenging to maximize profits efficiently.<\/p>\n\n\n\n<p>Access to accurate and streamlined supply chain data simplifies how brands aggregate, validate and distribute the information to partners from one secure place. Implementing these four crucial ingredients for supply chain data synchronization strengthens an e-commerce network.<\/p>\n\n\n\n<p><strong>1. GDSN-Certified Data Pool<\/strong><\/p>\n\n\n\n<p>Global Data Synchronization Network (GDSN) \u2014 an internet-based network enabling trading partners to exchange product data in a standardized way in real-time \u2014 bridges the gap between suppliers and retailers. Through the GDSN, brands upload, maintain and automatically share their product content. Brands access a deep community of e-commerce vendors and peers while expanding their customer base by delivering accurate, reliable product content in every market.<\/p>\n\n\n\n<p>To capitalize on the access the GDSN allows, brands must practice data standardization and validation through a quality data pool provider. Data pools enable trading partners to send and receive product content through the GDSN. By inputting data directly through the data pool, brands drastically reduce data entry, edit errors and time-to-market both in-store and online.&nbsp;<\/p>\n\n\n\n<p><strong>2. Content Acceleration<\/strong><\/p>\n\n\n\n<ol start=\"2\">\n<li><\/li>\n<\/ol>\n\n\n\n<p>A frictionless, real-time exchange of enriched product content between manufacturers and retailers is critical to a brand\u2019s success. Brands must enhance, automate and accelerate their content sourcing, enrichment, management and distribution.<\/p>\n\n\n\n<p>When they streamline the content capture and creation process, brands can <a href=\"https:\/\/1worldsync.com\/wp-content\/uploads\/2021\/10\/1WS-2021__Purely-Elizabeth__Case-Study-1.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">reduce product time-to-market by up to 75%<\/a>. Missed deadlines equal missed revenue. To avoid product content becoming their bottleneck, brands should use a content acceleration service to produce high-quality images matching retailer style guides, product description generation, specs and dimensions.&nbsp;<\/p>\n\n\n\n<p>Seven in 10 shoppers say they often decide not to buy a product when a website lacks product content \u2014 or the content is poor. Brands need a content acceleration service that provides content designed to educate and help customers make smart purchasing decisions while also creating effective e-commerce and supply chain exposure.&nbsp;<\/p>\n\n\n\n<p><strong>3. Data Loading and Maintenance<\/strong><\/p>\n\n\n\n<p>Taking the time to communicate product information is necessary but can pull resources from other activities critical to growing a business. A data loading and maintenance service solves this challenge by offering:<\/p>\n\n\n\n<ul>\n<li><em>Speed: <\/em>Once a brand provides product information gathered during the content capture and creation process, data experts format, load and publish the data to retail sites and business partners.&nbsp;<\/li>\n\n\n\n<li><em>Expert review: <\/em>Data experts use their understanding of retailers\u2019 synchronization requirements and product attributes to manage product information seamlessly.<\/li>\n\n\n\n<li><em>Compliance: <\/em>Data experts can identify all data requirements for each trading partner and determine what\u2019s missing by keeping items up-to-date against emerging regulations.<\/li>\n<\/ul>\n\n\n\n<p>By managing a brand\u2019s product information and synchronization processes, data experts <a href=\"https:\/\/1worldsync.com\/wp-content\/uploads\/2022\/07\/CaseStudy_SeaboardFoods.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">increase the efficiency of data syndication<\/a> to retailer trading partners.&nbsp;<\/p>\n\n\n\n<p><strong>4. Product Information Management<\/strong><\/p>\n\n\n\n<p>The Product Information Management (PIM) market is growing swiftly and will top $68.1 billion by 2030. A PIM solution influences how a brand markets and sells goods through various distribution channels and allows brands to aggregate, validate and communicate product content across all of their systems.&nbsp;<\/p>\n\n\n\n<p>In short, this solution determines a brand\u2019s success in today\u2019s retail spaces. Product content across the e-commerce landscape requires consistency. A failure to meet industry needs and expectations creates inefficiencies among trading partners, an inconsistent web presence and leads to retailer\/regulatory fines.&nbsp;<\/p>\n\n\n\n<p>A PIM system drives sales, increases brand loyalty and customer satisfaction and protects brands by:<\/p>\n\n\n\n<ul>\n<li>Integrating existing internal systems into a single source of master data.<\/li>\n\n\n\n<li>Ensuring product content exchanged between trading partners aligns with regional and regulatory GS1 standards.<\/li>\n\n\n\n<li>Communicating data to trading partners in any format they require.<\/li>\n\n\n\n<li>Providing real-time validations and automated workflows that inspire brands to feel confident in the quality of their product content and increase the speed-to-market of those products.&nbsp;<\/li>\n<\/ul>\n\n\n\n<p>In a retail market where omnichannel sales remain popular, PIM systems provide a competitive advantage that helps businesses thrive. Product content quality remains one of the most critical factors impacting omnichannel success. <a href=\"https:\/\/1worldsync.com\/resource-center\/blog\/1worldsyncs-guide-to-product-information-management-pim\/\" target=\"_blank\" rel=\"noreferrer noopener\">Over 80% of consumers<\/a> believe product content carries more influence than brand recognition.&nbsp;<\/p>\n\n\n\n<p>As a brand\u2019s supply chain data responsibility evolves, so do the possibilities for content to provide value. By implementing any of the above solutions, brands create a recipe for successfully achieving accurate, seamless supply chain data sharing.&nbsp;<\/p>\n\n\n\n<p><strong>About the Author<\/strong><\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"alignleft size-full\"><img decoding=\"async\" loading=\"lazy\" width=\"150\" height=\"150\" src=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2023\/04\/Randy_Mercer.jpeg\" alt=\"\" class=\"wp-image-32228\" srcset=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2023\/04\/Randy_Mercer.jpeg 150w, https:\/\/insidebigdata.com\/wp-content\/uploads\/2023\/04\/Randy_Mercer-110x110.jpeg 110w, https:\/\/insidebigdata.com\/wp-content\/uploads\/2023\/04\/Randy_Mercer-50x50.jpeg 50w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/><\/figure><\/div>\n\n\n<p><em>Randy Mercer is VP of Global Products for <a href=\"https:\/\/1worldsync.com\/\" target=\"_blank\" rel=\"noreferrer noopener\">1WorldSync<\/a>. He is an omnichannel product content expert with over 15 years of industry experience. He leads 1WorldSync\u2019s global product management and solution architecture teams, aligning the company\u2019s portfolio with current customer needs and emerging market trends. A frequent commentator for national and trade media outlets covering retail and ecommerce news, Randy leverages his extensive background in item data and content alignment, e-commerce application development and solution design to guide 1WorldSync\u2019s strategic product roadmap and vision.<\/em><\/p>\n\n\n\n<p><em>Sign up for the free insideBIGDATA&nbsp;<a href=\"http:\/\/inside-bigdata.com\/newsletter\/\" target=\"_blank\" rel=\"noreferrer noopener\">newsletter<\/a>.<\/em><\/p>\n\n\n\n<p><em>Join us on Twitter:&nbsp;<a href=\"https:\/\/twitter.com\/InsideBigData1\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/twitter.com\/InsideBigData1<\/a><\/em><\/p>\n\n\n\n<p><em>Join us on LinkedIn:&nbsp;<a href=\"https:\/\/www.linkedin.com\/company\/insidebigdata\/\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/www.linkedin.com\/company\/insidebigdata\/<\/a><\/em><\/p>\n\n\n\n<p><em>Join us on Facebook:&nbsp;<a href=\"https:\/\/www.facebook.com\/insideBIGDATANOW\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/www.facebook.com\/insideBIGDATANOW<\/a><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this contributed article, Randy Mercer, VP of Global Products for 1WorldSync, believes that as a brand\u2019s supply chain data responsibility evolves, so do the possibilities for content to provide value. By implementing any of the solutions itemized in the article, brands create a recipe for successfully achieving accurate, seamless supply chain data sharing.\u00a0<\/p>\n","protected":false},"author":37,"featured_media":29170,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"categories":[115,87,180,56,97,1],"tags":[280,1288,819,96],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>The 4 Ingredients for Accurate Supply Chain Data Synchronization - insideBIGDATA<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/insidebigdata.com\/2023\/04\/29\/the-4-ingredients-for-accurate-supply-chain-data-synchronization\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The 4 Ingredients for Accurate Supply Chain Data Synchronization - insideBIGDATA\" \/>\n<meta property=\"og:description\" content=\"In this contributed article, Randy Mercer, VP of Global Products for 1WorldSync, believes that as a brand\u2019s supply chain data responsibility evolves, so do the possibilities for content to provide value. By implementing any of the solutions itemized in the article, brands create a recipe for successfully achieving accurate, seamless supply chain data sharing.\u00a0\" \/>\n<meta property=\"og:url\" content=\"https:\/\/insidebigdata.com\/2023\/04\/29\/the-4-ingredients-for-accurate-supply-chain-data-synchronization\/\" \/>\n<meta property=\"og:site_name\" content=\"insideBIGDATA\" \/>\n<meta property=\"article:publisher\" content=\"http:\/\/www.facebook.com\/insidebigdata\" \/>\n<meta property=\"article:published_time\" content=\"2023-04-29T13:00:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-04-30T18:56:36+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/insidebigdata.com\/wp-content\/uploads\/2022\/04\/Data-virtualization_shutterstock_1062915266.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"300\" \/>\n\t<meta property=\"og:image:height\" content=\"168\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Daniel Gutierrez\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@AMULETAnalytics\" \/>\n<meta name=\"twitter:site\" content=\"@insideBigData\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Daniel Gutierrez\" \/>\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\":\"WebPage\",\"@id\":\"https:\/\/insidebigdata.com\/2023\/04\/29\/the-4-ingredients-for-accurate-supply-chain-data-synchronization\/\",\"url\":\"https:\/\/insidebigdata.com\/2023\/04\/29\/the-4-ingredients-for-accurate-supply-chain-data-synchronization\/\",\"name\":\"The 4 Ingredients for Accurate Supply Chain Data Synchronization - insideBIGDATA\",\"isPartOf\":{\"@id\":\"https:\/\/insidebigdata.com\/#website\"},\"datePublished\":\"2023-04-29T13:00:00+00:00\",\"dateModified\":\"2023-04-30T18:56:36+00:00\",\"author\":{\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/2540da209c83a68f4f5922848f7376ed\"},\"breadcrumb\":{\"@id\":\"https:\/\/insidebigdata.com\/2023\/04\/29\/the-4-ingredients-for-accurate-supply-chain-data-synchronization\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/insidebigdata.com\/2023\/04\/29\/the-4-ingredients-for-accurate-supply-chain-data-synchronization\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/insidebigdata.com\/2023\/04\/29\/the-4-ingredients-for-accurate-supply-chain-data-synchronization\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/insidebigdata.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"The 4 Ingredients for Accurate Supply Chain Data Synchronization\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/insidebigdata.com\/#website\",\"url\":\"https:\/\/insidebigdata.com\/\",\"name\":\"insideBIGDATA\",\"description\":\"Your Source for AI, Data Science, Deep Learning &amp; Machine Learning Strategies\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/insidebigdata.com\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/2540da209c83a68f4f5922848f7376ed\",\"name\":\"Daniel Gutierrez\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/insidebigdata.com\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/5780282e7e567e2a502233e948464542?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/5780282e7e567e2a502233e948464542?s=96&d=mm&r=g\",\"caption\":\"Daniel Gutierrez\"},\"description\":\"Daniel D. Gutierrez is a Data Scientist with Los Angeles-based AMULET Analytics, a service division of AMULET Development Corp. He's been involved with data science and Big Data long before it came in vogue, so imagine his delight when the Harvard Business Review recently deemed \\\"data scientist\\\" as the sexiest profession for the 21st century. Previously, he taught computer science and database classes at UCLA Extension for over 15 years, and authored three computer industry books on database technology. He also served as technical editor, columnist and writer at a major computer industry monthly publication for 7 years. Follow his data science musings at @AMULETAnalytics.\",\"sameAs\":[\"http:\/\/www.insidebigdata.com\",\"https:\/\/twitter.com\/@AMULETAnalytics\"],\"url\":\"https:\/\/insidebigdata.com\/author\/dangutierrez\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"The 4 Ingredients for Accurate Supply Chain Data Synchronization - insideBIGDATA","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:\/\/insidebigdata.com\/2023\/04\/29\/the-4-ingredients-for-accurate-supply-chain-data-synchronization\/","og_locale":"en_US","og_type":"article","og_title":"The 4 Ingredients for Accurate Supply Chain Data Synchronization - insideBIGDATA","og_description":"In this contributed article, Randy Mercer, VP of Global Products for 1WorldSync, believes that as a brand\u2019s supply chain data responsibility evolves, so do the possibilities for content to provide value. By implementing any of the solutions itemized in the article, brands create a recipe for successfully achieving accurate, seamless supply chain data sharing.\u00a0","og_url":"https:\/\/insidebigdata.com\/2023\/04\/29\/the-4-ingredients-for-accurate-supply-chain-data-synchronization\/","og_site_name":"insideBIGDATA","article_publisher":"http:\/\/www.facebook.com\/insidebigdata","article_published_time":"2023-04-29T13:00:00+00:00","article_modified_time":"2023-04-30T18:56:36+00:00","og_image":[{"width":300,"height":168,"url":"https:\/\/insidebigdata.com\/wp-content\/uploads\/2022\/04\/Data-virtualization_shutterstock_1062915266.jpg","type":"image\/jpeg"}],"author":"Daniel Gutierrez","twitter_card":"summary_large_image","twitter_creator":"@AMULETAnalytics","twitter_site":"@insideBigData","twitter_misc":{"Written by":"Daniel Gutierrez","Est. reading time":"5 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/insidebigdata.com\/2023\/04\/29\/the-4-ingredients-for-accurate-supply-chain-data-synchronization\/","url":"https:\/\/insidebigdata.com\/2023\/04\/29\/the-4-ingredients-for-accurate-supply-chain-data-synchronization\/","name":"The 4 Ingredients for Accurate Supply Chain Data Synchronization - insideBIGDATA","isPartOf":{"@id":"https:\/\/insidebigdata.com\/#website"},"datePublished":"2023-04-29T13:00:00+00:00","dateModified":"2023-04-30T18:56:36+00:00","author":{"@id":"https:\/\/insidebigdata.com\/#\/schema\/person\/2540da209c83a68f4f5922848f7376ed"},"breadcrumb":{"@id":"https:\/\/insidebigdata.com\/2023\/04\/29\/the-4-ingredients-for-accurate-supply-chain-data-synchronization\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/insidebigdata.com\/2023\/04\/29\/the-4-ingredients-for-accurate-supply-chain-data-synchronization\/"]}]},{"@type":"BreadcrumbList","@id":"https:\/\/insidebigdata.com\/2023\/04\/29\/the-4-ingredients-for-accurate-supply-chain-data-synchronization\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/insidebigdata.com\/"},{"@type":"ListItem","position":2,"name":"The 4 Ingredients for Accurate Supply Chain Data Synchronization"}]},{"@type":"WebSite","@id":"https:\/\/insidebigdata.com\/#website","url":"https:\/\/insidebigdata.com\/","name":"insideBIGDATA","description":"Your Source for AI, Data Science, Deep Learning &amp; Machine Learning Strategies","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/insidebigdata.com\/?s={search_term_string}"},"query-input":"required name=search_term_string"}],"inLanguage":"en-US"},{"@type":"Person","@id":"https:\/\/insidebigdata.com\/#\/schema\/person\/2540da209c83a68f4f5922848f7376ed","name":"Daniel Gutierrez","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/insidebigdata.com\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/5780282e7e567e2a502233e948464542?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/5780282e7e567e2a502233e948464542?s=96&d=mm&r=g","caption":"Daniel Gutierrez"},"description":"Daniel D. Gutierrez is a Data Scientist with Los Angeles-based AMULET Analytics, a service division of AMULET Development Corp. He's been involved with data science and Big Data long before it came in vogue, so imagine his delight when the Harvard Business Review recently deemed \"data scientist\" as the sexiest profession for the 21st century. Previously, he taught computer science and database classes at UCLA Extension for over 15 years, and authored three computer industry books on database technology. He also served as technical editor, columnist and writer at a major computer industry monthly publication for 7 years. Follow his data science musings at @AMULETAnalytics.","sameAs":["http:\/\/www.insidebigdata.com","https:\/\/twitter.com\/@AMULETAnalytics"],"url":"https:\/\/insidebigdata.com\/author\/dangutierrez\/"}]}},"jetpack_featured_media_url":"https:\/\/insidebigdata.com\/wp-content\/uploads\/2022\/04\/Data-virtualization_shutterstock_1062915266.jpg","jetpack_shortlink":"https:\/\/wp.me\/p9eA3j-8nN","jetpack-related-posts":[{"id":27185,"url":"https:\/\/insidebigdata.com\/2021\/09\/22\/dataops-dilemma-survey-reveals-gap-in-the-data-supply-chain\/","url_meta":{"origin":32227,"position":0},"title":"DataOps Dilemma: Survey Reveals Gap in the Data Supply Chain","date":"September 22, 2021","format":false,"excerpt":"The survey associated with this report, commission by Immuta, focused on identifying the limiting factors in the data \u201csupply chain\u201d as it relates to the overall DataOps methodology of the organization. DataOps itself is the more agile and automated application of data management techniques to advance data-driven outcomes, while the\u2026","rel":"","context":"In &quot;Big Data&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2021\/09\/Immuta-DataOPS-Dilemma-Cover-Image.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":19902,"url":"https:\/\/insidebigdata.com\/2018\/02\/10\/big-data-analytics-can-improve-demand-supply-cycle-retail\/","url_meta":{"origin":32227,"position":1},"title":"How Big Data Analytics Can Improve Demand-Supply Cycle in Retail?","date":"February 10, 2018","format":false,"excerpt":"In this contributed article, James Warner, a business intelligence analyst at NexSoftSys.com, discusses big data uses in the retail industry, specifically about the supply and demand cycle. With big data entering all mainstream industries, analytics is surely going to be different and not limited to projections and predictions. The supply\u2026","rel":"","context":"In &quot;Analytics&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2018\/02\/How-Big-Data-Analytics-Can-Improve-Demand-Supply-Cycle-in-Retail-.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":31643,"url":"https:\/\/insidebigdata.com\/2023\/02\/16\/pharmaceutical-supply-chain-data-is-in-the-dark-ages-its-time-to-bring-it-into-the-future\/","url_meta":{"origin":32227,"position":2},"title":"Pharmaceutical Supply Chain Data is in the Dark Ages: It&#8217;s Time to Bring it into the Future","date":"February 16, 2023","format":false,"excerpt":"In this contributed article, Nico Ros, Co-founder and CTO of SkyCell, discusses how the industry is crying out for better logistical solutions and needs for better remote monitoring. Disparate data solutions are just not up to the mark anymore - but there is an answer to this problem. Combining simulation\u2026","rel":"","context":"In &quot;Big Data&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2023\/02\/Pharma_shutterstock_237324007.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":24786,"url":"https:\/\/insidebigdata.com\/2020\/07\/23\/the-impact-of-data-science-on-customer-intelligence-space-strategy-and-supply-chain-optimization\/","url_meta":{"origin":32227,"position":3},"title":"The Impact of Data Science On Customer Intelligence, Space Strategy and Supply Chain Optimization","date":"July 23, 2020","format":false,"excerpt":"In a new white paper recently released, \"The Impact of Data Science On Customer Intelligence, Space Strategy and Supply Chain Optimization\", 84.51\u00b0 explains how this innovative data science has become embedded- specifically in three of its missions: Customer Intelligence, Space Strategy and Supply Chain Optimization.","rel":"","context":"In &quot;Big Data&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2020\/07\/8451_figure.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":24316,"url":"https:\/\/insidebigdata.com\/2020\/04\/26\/big-datas-unique-role-in-the-pharmaceutical-supply-chain\/","url_meta":{"origin":32227,"position":4},"title":"Big Data\u2019s Unique Role in the Pharmaceutical Supply Chain","date":"April 26, 2020","format":false,"excerpt":"In this special guest feature, John Hogan, Senior Vice President of Engineering at TraceLink, discusses the pharmaceutical supply chain, and the challenges it is facing regarding big data and interoperability. Despite past obstacles, technologies like the Internet of Things (IoT), Artificial Intelligence (AI) and Machine Learning (ML), and Blockchain are\u2026","rel":"","context":"In &quot;AI Deep Learning&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2020\/04\/John-Hogan.png?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]},{"id":26952,"url":"https:\/\/insidebigdata.com\/2021\/08\/24\/preparing-healthcare-data-for-the-netflix-effect\/","url_meta":{"origin":32227,"position":5},"title":"Preparing Healthcare Data for the Netflix Effect","date":"August 24, 2021","format":false,"excerpt":"In this contributed article, Chris Luoma, Senior Vice President of Global Product Management at Global Healthcare Exchange (GHX), discusses how to achieve the Netflix Effect in healthcare with four best practices\u00ad\u00ad. The \u201cNetflix Effect\u201d is the uncanny ability of brands to know exactly what we want, when we want it.","rel":"","context":"In &quot;Analytics&quot;","img":{"alt_text":"","src":"https:\/\/i0.wp.com\/insidebigdata.com\/wp-content\/uploads\/2019\/04\/Healthcare_analytics_SHUTTERSTOCK.jpg?resize=350%2C200&ssl=1","width":350,"height":200},"classes":[]}],"_links":{"self":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts\/32227"}],"collection":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/users\/37"}],"replies":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/comments?post=32227"}],"version-history":[{"count":0,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/posts\/32227\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/media\/29170"}],"wp:attachment":[{"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/media?parent=32227"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/categories?post=32227"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/insidebigdata.com\/wp-json\/wp\/v2\/tags?post=32227"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}