{"id":2825,"date":"2020-03-10T16:13:33","date_gmt":"2020-03-10T08:13:33","guid":{"rendered":"https:\/\/www.moneythor.com\/?p=2825"},"modified":"2024-03-05T10:51:09","modified_gmt":"2024-03-05T02:51:09","slug":"%e9%8a%80%e8%a1%8c%e3%81%ab%e3%81%8a%e3%81%91%e3%82%8b%e3%83%87%e3%83%bc%e3%82%bf%e3%83%aa%e3%83%86%e3%83%a9%e3%82%b7%e3%83%bc%e3%81%ae%e9%87%8d%e8%a6%81%e6%80%a7","status":"publish","type":"post","link":"https:\/\/www.moneythor.com\/jp\/%e5%88%86%e6%9e%90%e6%84%8f%e8%a6%8b\/%e9%8a%80%e8%a1%8c%e3%81%ab%e3%81%8a%e3%81%91%e3%82%8b%e3%83%87%e3%83%bc%e3%82%bf%e3%83%aa%e3%83%86%e3%83%a9%e3%82%b7%e3%83%bc%e3%81%ae%e9%87%8d%e8%a6%81%e6%80%a7\/","title":{"rendered":"\u30c7\u30b8\u30bf\u30eb\u30d0\u30f3\u30ad\u30f3\u30b0\u306b\u304a\u3051\u308b\u30c7\u30fc\u30bf\u30ea\u30c6\u30e9\u30b7\u30fc\u306e\u91cd\u8981\u6027"},"content":{"rendered":"<p>\u73fe\u4ee3\u306e\u30d3\u30b8\u30cd\u30b9\u3084\u9280\u884c\u696d\u52d9\u306b\u304a\u3051\u308b\u30c7\u30fc\u30bf\u306e\u91cd\u8981\u6027\u306f\u904e\u5c0f\u8a55\u4fa1\u3067\u304d\u307e\u305b\u3093\u3002\u9867\u5ba2\u3068\u9280\u884c\u306e\u3084\u308a\u53d6\u308a\u306e\u305f\u3073\u306b\u30c7\u30fc\u30bf\u3068\u60c5\u5831\u304c\u6b8b\u308a\u3001\u305d\u308c\u3092\u4f7f\u3063\u3066\u9867\u5ba2\u306b\u30d1\u30fc\u30bd\u30ca\u30e9\u30a4\u30ba\u3055\u308c\u305f\u4f53\u9a13\u3092\u63d0\u4f9b\u3057\u305f\u308a\u3001\u624b\u6570\u6599\u306e\u5dee\u7570\u3092\u6e1b\u3089\u3057\u305f\u308a\u3001\u793e\u5185\u306e\u30b7\u30b9\u30c6\u30e0\u3084\u30d7\u30ed\u30bb\u30b9\u3092\u6539\u5584\u3057\u305f\u308a\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u30c7\u30fc\u30bf 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<a href=\"https:\/\/www.gartner.com\/smarterwithgartner\/a-data-and-analytics-leaders-guide-to-data-literacy\/\">\u30ac\u30fc\u30c8\u30ca\u30fc<\/a> \u30c7\u30fc\u30bf \u30ea\u30c6\u30e9\u30b7\u30fc\u306f\u3001\u300c\u30c7\u30fc\u30bf \u30bd\u30fc\u30b9\u3068\u69cb\u9020\u3001\u9069\u7528\u3055\u308c\u308b\u5206\u6790\u65b9\u6cd5\u3068\u30c6\u30af\u30cb\u30c3\u30af\u306e\u7406\u89e3\u3001\u304a\u3088\u3073\u30e6\u30fc\u30b9 \u30b1\u30fc\u30b9\u3001\u30a2\u30d7\u30ea\u30b1\u30fc\u30b7\u30e7\u30f3\u3001\u7d50\u679c\u3068\u3057\u3066\u5f97\u3089\u308c\u308b\u4fa1\u5024\u3092\u8aac\u660e\u3059\u308b\u80fd\u529b\u3092\u542b\u3081\u3001\u30b3\u30f3\u30c6\u30ad\u30b9\u30c8\u5185\u3067\u30c7\u30fc\u30bf\u3092\u8aad\u307f\u3001\u66f8\u304d\u3001\u4f1d\u9054\u3059\u308b\u80fd\u529b\u300d\u3068\u5b9a\u7fa9\u3055\u308c\u3066\u3044\u307e\u3059\u3002<\/p>\n<p>\u30c7\u30fc\u30bf \u30ea\u30c6\u30e9\u30b7\u30fc\u306e\u4f4e\u3055\u306f\u9280\u884c\u306e\u6210\u9577\u3068\u5909\u9769\u306e\u969c\u5bb3\u3067\u3042\u308a\u3001\u30c7\u30fc\u30bf\u304c\u65e5\u5e38\u306e\u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u306b\u3055\u3089\u306b\u7d71\u5408\u3055\u308c\u308b\u306b\u3064\u308c\u3066\u3001\u30c7\u30fc\u30bf\u3092\u6271\u3046\u80fd\u529b\u306e\u5411\u4e0a\u306e\u5fc5\u8981\u6027\u306f\u9ad8\u307e\u308b\u3070\u304b\u308a\u3067\u3059\u3002\u7af6\u4e89\u4e0a\u306e\u512a\u4f4d\u6027\u3092\u7dad\u6301\u3059\u308b\u306b\u306f\u3001\u7d44\u7e54\u5168\u4f53\u3067\u30c7\u30fc\u30bf\u3078\u306e\u30a2\u30af\u30bb\u30b9\u3068\u7406\u89e3\u3092\u9ad8\u3081\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<\/p>\n<p>\u8abf\u67fb\u306b\u3088\u308b\u3068 <a href=\"https:\/\/www.qlik.com\/us\/bi\/data-literacy\">QLIK\u3001<\/a> \u30d3\u30b8\u30cd\u30b9\u4e0a\u306e\u610f\u601d\u6c7a\u5b9a\u8005\u306e\u308f\u305a\u304b 24% \u3060\u3051\u304c\u3001\u30c7\u30fc\u30bf\u3092\u8aad\u307f\u3001\u51e6\u7406\u3057\u3001\u5206\u6790\u3057\u3001\u8b70\u8ad6\u3059\u308b\u80fd\u529b\u306b\u5b8c\u5168\u306b\u81ea\u4fe1\u3092\u6301\u3063\u3066\u3044\u307e\u3059\u3002\u3053\u306e\u8abf\u67fb\u306f\u3001\u5f93\u696d\u54e1\u306b\u6c42\u3081\u3089\u308c\u308b\u30c7\u30fc\u30bf \u30ea\u30c6\u30e9\u30b7\u30fc\u306e\u30ec\u30d9\u30eb\u3068\u73fe\u5728\u306e\u30c7\u30fc\u30bf \u30ea\u30c6\u30e9\u30b7\u30fc\u306e\u30ec\u30d9\u30eb\u306e\u9593\u306b\u5b58\u5728\u3059\u308b\u30b9\u30ad\u30eb \u30ae\u30e3\u30c3\u30d7\u3092\u6d6e\u304d\u5f6b\u308a\u306b\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n<h2>\u9280\u884c\u306f\u3069\u306e\u3088\u3046\u306b\u3057\u3066\u5f93\u696d\u54e1\u306e\u30c7\u30fc\u30bf\u30ea\u30c6\u30e9\u30b7\u30fc\u3092\u5411\u4e0a\u3055\u305b\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u3067\u3057\u3087\u3046\u304b?<\/h2>\n<p>\u9280\u884c\u306f\u3001\u7d44\u7e54\u3092\u7b2c 4 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href=\"#newsletter-subscription-blog\" >\t\t\t\t\t\t<div class=\"img-inner dark\" >\n\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1020\" height=\"299\" src=\"https:\/\/www.moneythor.com\/wp-content\/uploads\/2024\/02\/Article-CTA-NEW-BRANDING.png\" class=\"attachment-large size-large\" alt=\"\u30de\u30cd\u30fc\u30bd\u30fc\u306e\u30cb\u30e5\u30fc\u30b9\u30ec\u30bf\u30fc\u3092\u8cfc\u8aad\u3059\u308b\" srcset=\"https:\/\/www.moneythor.com\/wp-content\/uploads\/2024\/02\/Article-CTA-NEW-BRANDING.png 1024w, https:\/\/www.moneythor.com\/wp-content\/uploads\/2024\/02\/Article-CTA-NEW-BRANDING-768x225.png 768w\" sizes=\"auto, (max-width: 1020px) 100vw, 1020px\" \/>\t\t\t\t\t\t\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/a>\t\t\n<style>\n#image_487886881 {\n  width: 100%;\n}\n<\/style>\n\t<\/div>","protected":false},"excerpt":{"rendered":"<p>The importance of data in modern business and banking cannot be underestimated. Every interaction a customer has with a bank leaves a trail of data and information, which can be used to provide customers with personalised experiences, reduce fee discrepancies or improve internal systems and processes. Teams of data scientists are being employed globally to mine and use data effectively to drive revenue for banks. However, it is not just data scientists who have to deal with data. Data flows throughout the entire organisation, impacting all areas of the business and crossing all teams\u2019 paths, influencing decisions and changing the trajectory of plans and processes. Data has been compared to [&#8230;]\n","protected":false},"author":4,"featured_media":2831,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false,"footnotes":""},"categories":[7,279,64,10],"tags":[],"class_list":["post-2825","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-analysis-opinions","category-blog","category-digital-banking","category-technology"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>The Importance of Data Literacy in Digital Banking | Moneythor<\/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:\/\/www.moneythor.com\/jp\/\u5206\u6790\u610f\u898b\/\u9280\u884c\u306b\u304a\u3051\u308b\u30c7\u30fc\u30bf\u30ea\u30c6\u30e9\u30b7\u30fc\u306e\u91cd\u8981\u6027\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The Importance of Data Literacy in Digital Banking | Moneythor\" \/>\n<meta property=\"og:description\" content=\"The importance of data in modern business and banking cannot be underestimated. Every interaction a customer has with a bank leaves a trail of data and information, which can be used to provide customers with personalised experiences, reduce fee discrepancies or improve internal systems and processes. Teams of data scientists are being employed globally to mine and use data effectively to drive revenue for banks. However, it is not just data scientists who have to deal with data. Data flows throughout the entire organisation, impacting all areas of the business and crossing all teams\u2019 paths, influencing decisions and changing the trajectory of plans and processes. 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Every interaction a customer has with a bank leaves a trail of data and information, which can be used to provide customers with personalised experiences, reduce fee discrepancies or improve internal systems and processes. Teams of data scientists are being employed globally to mine and use data effectively to drive revenue for banks. However, it is not just data scientists who have to deal with data. Data flows throughout the entire organisation, impacting all areas of the business and crossing all teams\u2019 paths, influencing decisions and changing the trajectory of plans and processes. 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