[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"nav-categories":3,"article-leaving-liability-in-the-lurch-the-case-for-clean-ai-powered-supplier-data":70},{"data":4},[5,37,57,64],{"name":6,"slug":7,"categories":8},"Productivity","productivity",[9,13,17,21,25,29,33],{"id":10,"title":11,"slug":12},17,"Branding","branding",{"id":14,"title":15,"slug":16},19,"Marketing","marketing",{"id":18,"title":19,"slug":20},20,"Work","work",{"id":22,"title":23,"slug":24},34,"Community","community",{"id":26,"title":27,"slug":28},21,"For newbies","for-newbies",{"id":30,"title":31,"slug":32},24,"Investment","investment",{"id":34,"title":35,"slug":36},22,"Finance","finance",{"name":38,"slug":39,"categories":40},"Tech","tech",[41,45,49,53],{"id":42,"title":43,"slug":44},28,"Technology","technology",{"id":46,"title":47,"slug":48},32,"Artificial Intelligence","artificial-intelligence",{"id":50,"title":51,"slug":52},26,"Security and protection","security-and-protection",{"id":54,"title":55,"slug":56},31,"YouTube Blog","youtube-blog",{"name":58,"slug":59,"categories":60},"News","news",[61],{"id":62,"title":58,"slug":63},18,"quasanews",{"name":65,"slug":66,"categories":67},"Business","business",[68],{"id":69,"title":65,"slug":66},16,{"post":71,"published_news":96,"popular_news":161,"categories":230},{"title":72,"description":73,"meta_title":72,"meta_description":73,"meta_keywords":74,"text":75,"slug":76,"created_at":77,"publish_at":78,"formatted_created_at":79,"category_id":69,"links":80,"view_type":85,"video_url":86,"views":87,"likes":88,"lang":89,"comments_count":88,"category":90},"Leaving Liability in the Lurch: The Case for Clean, AI-Powered Supplier Data","Supplier data can become stale within minutes of generation, which can leave all manner of cross-functional departments in the lurch.","Leaving Liability, Lurch, The Case for Clean, AI-Powered Supplier Data","\u003Cp>Hello!\u003C/p>\n\n\u003Cp>\u003Cpicture class=\"image-align-left\">\u003Csource srcset=\"https://cdn.quasa.io/photos/foto-15/901-1.webp\" type=\"image/webp\">\u003Cimg alt=\"Leaving Liability in the Lurch: The Case for Clean, AI-Powered Supplier Data\" class=\"image-align-left\" height=\"134\" src=\"https://cdn.quasa.io/photos/foto-15/901-1.jpeg\" width=\"300\" />\u003C/picture>Pardon the clich&eacute;, but in these uncertain times, out-of-date supplier data isn&rsquo;t only useless &ndash; it&rsquo;s a liability that can take your business from humming along to grinding to a halt in a moment.\u003C/p>\n\n\u003Cp>Back in the day, you could hire consultants for data clean-up projects, run spend analysis cleansing or go through a recovery audit analysis. But business moves too quickly for these one-time efforts.\u003C/p>\n\n\u003Cp>And besides,, who has the time? It&rsquo;s far better to implement long-term solutions that can ensure the sustainability of your data now and forever.\u003C/p>\n\n\u003Cp>Supplier data can become stale within minutes of generation, which can leave all manner of cross-functional departments in the lurch.\u003C/p>\n\n\u003Cp>Your organization&rsquo;s procurement arm, in particular, has the most to lose if you lack access to clean and correct supplier data that autonomously updates and grows stronger over time.\u003C/p>\n\n\u003Cp>Also read:&nbsp;\u003Ca href=\"https://quasa.io/media/the-future-of-digital-art-the-22-000-canvas-revolution\">The Future of Digital Art: The $22,000 Canvas Revolution\u003C/a>\u003C/p>\n\n\u003Ch3>Got Bad Data?\u003C/h3>\n\n\u003Cp>It can be tough to evaluate massive data sets and determine at a glance if it&rsquo;s accurate or inaccurate, business-endangering or procurement-supporting. Here&rsquo;s a quick-hit checklist that outlines the most common symptoms of bad data:\u003Cpicture class=\"image-align-right\">\u003Csource srcset=\"https://cdn.quasa.io/photos/foto-15/901-2.webp\" type=\"image/webp\">\u003Cimg alt=\"Leaving Liability in the Lurch: The Case for Clean, AI-Powered Supplier Data\" class=\"image-align-right\" height=\"129\" src=\"https://cdn.quasa.io/photos/foto-15/901-2.jpeg\" width=\"300\" />\u003C/picture>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Cstrong>Delays in finding the right set of new or alternative suppliers.&nbsp;\u003C/strong>If your data causes you to be unable to shift quickly away from suppliers or find new ones, there&rsquo;s something wrong with your data.\u003C/li>\n\t\u003Cli>\u003Cstrong>Significant costs of manual record search, data entry, and rework.&nbsp;\u003C/strong>Your data should save you time, not waste it.\u003C/li>\n\t\u003Cli>\u003Cstrong>Delayed ROI, lost payments, high costs, and onboarding delays\u003C/strong>. Forget time delays &ndash; no one wants to lose money, and your supplier data should be an ally in saving money, not yet another drain on your capital!\u003C/li>\n\t\u003Cli>\u003Cstrong>Default sources are &ldquo;the big guys&rdquo; or suppliers you have no business working with.&nbsp;\u003C/strong>Your data should be uniquely tailored to your business&rsquo;s needs, and if it&rsquo;s not, you&rsquo;ve got a huge problem.\u003C/li>\n\t\u003Cli>\u003Cstrong>Mistrust of data.\u003C/strong>&nbsp;Your data should be your bible, your business&rsquo;s bread and butter. If you can&rsquo;t trust it, what can you trust?\u003C/li>\n\u003C/ul>\n\n\u003Ch3>Which Way to Data Cleanup?\u003C/h3>\n\n\u003Cp>\u003Cpicture class=\"image-align-left\">\u003Csource srcset=\"https://cdn.quasa.io/photos/foto-15/901-3.webp\" type=\"image/webp\">\u003Cimg alt=\"Leaving Liability in the Lurch: The Case for Clean, AI-Powered Supplier Data\" class=\"image-align-left\" height=\"177\" src=\"https://cdn.quasa.io/photos/foto-15/901-3.jpeg\" width=\"284\" />\u003C/picture>Let&rsquo;s say you&rsquo;ve identified your supplier data as being symptomatic of bad data. There are two ways to tackle that problem to avoid doing damage to your procurement team and your supply chain: the old way and the new way.\u003C/p>\n\n\u003Cp>The old method of cleaning up data involves health checks, need assessments and data record cleaning, which sounds great&hellip;until you realize that the moment someone manually enters something into your supplier data records, you have to do the whole process over again. It&rsquo;s not worth paying six figures to do this!\u003C/p>\n\n\u003Cp>\u003Cstrong>The solution is simple:\u003C/strong>&nbsp;identify an automated way of managing, cleaning, and updating supplier data regularly to ensure that your supplier information stays updated and agile without spending time and money to keep it that way. Sounds so simple, right?\u003C/p>\n\n\u003Cp>\u003Ca href=\"https://quasa.io/media/how-is-machine-learning-useful-in-blockchain-technology\">Machine learning\u003C/a>&nbsp;is the future of supplier data fixes, maintenance and storage.&nbsp;\u003Ca href=\"https://quasa.io/media/future-of-artificial-intelligence-in-2025\">Artificial intelligence tools\u003C/a>&nbsp;make it undeniably easy to fix supplier data and ensure it stays fixed.\u003C/p>\n\n\u003Cp>These programs can automatically extract keywords for supplier websites to create structured, updated profiles, automatically cleanse data and remove duplicates, and search for and capture diversity insights to ensure your supply chain remains as agile as possible.\u003C/p>\n\n\u003Cp>\u003Cpicture class=\"image-align-left\">\u003Csource srcset=\"https://cdn.quasa.io/photos/foto-15/901-4.webp\" type=\"image/webp\">\u003Cimg alt=\"Leaving Liability in the Lurch: The Case for Clean, AI-Powered Supplier Data\" class=\"image-align-left\" height=\"169\" src=\"https://cdn.quasa.io/photos/foto-15/901-4.jpeg\" width=\"300\" />\u003C/picture>A clean and correct supplier record that updates independently and grows stronger over time benefits not only the procurement arm of your&nbsp;business&nbsp;but every other department.\u003C/p>\n\n\u003Cp>Reducing liability and establishing a supplier record that captures and maintains clean, self-updating data isn&rsquo;t just about transforming your operations &ndash; it&rsquo;s about kicking liability concerns to the curb and freeing up your time and money to focus on consistently growing your business over time.\u003C/p>\n\n\u003Cp>Thank you!\u003Cbr />\nJoin us on social networks!\u003Cbr />\nSee you!\u003C/p>","leaving-liability-in-the-lurch-the-case-for-clean-ai-powered-supplier-data","2022-06-22T19:40:55.000000Z","2025-09-06T11:30:00.000000Z","06.09.2025",{"image":81,"image_webp":82,"thumb":83,"thumb_webp":84},"https://cdn.quasa.io/images/news/6klvDus5XLcXiAl4WY2ZzawcLcuTyYNbrEIvIMdt.jpg","https://cdn.quasa.io/images/news/6klvDus5XLcXiAl4WY2ZzawcLcuTyYNbrEIvIMdt.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/6klvDus5XLcXiAl4WY2ZzawcLcuTyYNbrEIvIMdt.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/6klvDus5XLcXiAl4WY2ZzawcLcuTyYNbrEIvIMdt.webp","large",null,1696,0,"en",{"id":69,"title":65,"slug":66,"meta_title":91,"meta_description":92,"meta_keywords":93,"deleted_at":86,"created_at":94,"updated_at":95,"lang":89},"Quasa Media - Growth Hacking in Business","Business is a battlefield. In QUASA MEDIA you will find all the most useful articles on how to do business and not screw up.","Business, earn money, business strategy, business process","2021-08-03T10:59:17.000000Z","2024-08-25T15:45:11.000000Z",[97,112,123,135,148],{"title":98,"description":99,"slug":100,"created_at":101,"publish_at":101,"formatted_created_at":102,"category":103,"links":104,"view_type":109,"video_url":86,"views":110,"likes":88,"lang":89,"comments_count":88,"is_pinned":111},"Cloudflare Just Made Email a First-Class Citizen for AI Agents — And Traditional Email Services Are Feeling It","On April 17, 2026, Cloudflare quietly turned a long-standing dream into reality: it moved Email Service into public beta and added full Email Sending alongside the years-old Email 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(formerly Twitter) has been a playground for undisclosed promotions, coordinated spam networks, and “native” advertising that masquerades as organic content.","x-is-finally-cracking-down-on-unlabeled-ads-and-it-s-personal","2026-04-19T15:07:48.000000Z",{"title":65,"slug":66},{"image":130,"image_webp":131,"thumb":132,"thumb_webp":133},"https://cdn.quasa.io/images/news/CQJ1gdssFGyJpfhfmRU2X4WT5fk5Boc8APXsjWX6.jpg","https://cdn.quasa.io/images/news/CQJ1gdssFGyJpfhfmRU2X4WT5fk5Boc8APXsjWX6.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/CQJ1gdssFGyJpfhfmRU2X4WT5fk5Boc8APXsjWX6.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/CQJ1gdssFGyJpfhfmRU2X4WT5fk5Boc8APXsjWX6.webp",23,{"title":136,"description":137,"slug":138,"created_at":139,"publish_at":140,"formatted_created_at":102,"category":141,"links":142,"view_type":109,"video_url":86,"views":147,"likes":88,"lang":89,"comments_count":88,"is_pinned":111},"Bitcoin Developers Propose BIP-361: Quantum-Proof Migration That Would Freeze Millions of Legacy Coins","In a move that could reshape the security of Bitcoin’s unspent transaction outputs forever, Bitcoin developers have introduced BIP-361 — officially titled “Post Quantum Migration and Legacy Signature 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Bloomberg’s Odd Lots podcast, Thomas Peterffy — founder, chairman, and CEO of Interactive Brokers (IBKR) — sat down to discuss one of the most intriguing projects in his company’s 50-year history: IBKR ForecastTrader, the brokerage giant’s freshly launched prediction market 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We offer to place your article, add a link or order the writing of an article for publication.","advertising-on-quasa","2022-07-06T07:33:02.000000Z","2025-12-15T17:33:02.000000Z","15.12.2025",{"title":58,"slug":63},{"image":184,"image_webp":185,"thumb":186,"thumb_webp":187},"https://cdn.quasa.io/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.jpg","https://cdn.quasa.io/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.webp",70584,{"title":190,"description":191,"slug":192,"created_at":193,"publish_at":194,"formatted_created_at":195,"category":196,"links":197,"view_type":109,"video_url":86,"views":200,"likes":110,"lang":89,"comments_count":88,"is_pinned":111},"What is a Startup?","A startup is not a new company, not a tech company, nor a new tech company. 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