{"id":630,"date":"2021-04-10T21:39:44","date_gmt":"2021-04-10T21:39:44","guid":{"rendered":"https:\/\/datarebus.com\/?p=630"},"modified":"2021-04-11T14:50:05","modified_gmt":"2021-04-11T14:50:05","slug":"data-business-intelligence-information","status":"publish","type":"post","link":"https:\/\/datarebus.com\/index.php\/2021\/04\/10\/data-business-intelligence-information\/","title":{"rendered":"Data => Business Intelligence => Information"},"content":{"rendered":"\n<p>Baz\u0131 kelimelerin T\u00fcrk\u00e7eleri literat\u00fcrde tam olarak yerli yerine oturmad\u0131\u011f\u0131 i\u00e7in yaz\u0131lar\u0131mda bilin\u00e7li olarak \u0130ngilizce kar\u015f\u0131l\u0131klar\u0131n\u0131 kullan\u0131yor olaca\u011f\u0131m. Bu k\u0131sa a\u00e7\u0131klamadan sonra hemen h\u0131zla konumuza gireyim. Birbiri ile i\u00e7 i\u00e7e 3 kavramdan bahsedece\u011fiz: Data, Knowledge ve Information.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/media-exp1.licdn.com\/dms\/image\/C4E12AQEQsvXyowlcYg\/article-inline_image-shrink_1000_1488\/0\/1520561206060?e=1623283200&amp;v=beta&amp;t=9B2-votkWjdUeSh_42lfh9DyHcIRUEQdmG3NLdecxy8\" alt=\"\"\/><\/figure>\n\n\n\n<p><strong>DATA<\/strong>: San\u0131r\u0131m Datan\u0131n(Verinin) ge\u00e7mi\u015fi paran\u0131n bulunmas\u0131na kadar dayan\u0131yor. Paran\u0131n bulunmas\u0131 ile \u201cbor\u00e7 verme\u201d, bor\u00e7 verme ile birlikte de bunun kaydedilmesi ortaya \u00e7\u0131km\u0131\u015f olmas\u0131 laz\u0131m. Zaten g\u00fcn\u00fcm\u00fczde de en ufak bir i\u015fletme, mesela bir bakkal d\u00fckkan\u0131 a\u00e7\u0131ld\u0131\u011f\u0131nda, ilk yapaca\u011f\u0131m\u0131z i\u015f, bir defter edinip ne ald\u0131k ne verdik kaydetmek olmayacak m\u0131? Firmalar\u0131n b\u00fcy\u00fcmesi ile birlikte Data \u00fcreten uygulamalar da b\u00fcy\u00fcmeye ve \u00e7o\u011falmaya ba\u015fl\u0131yor. Basit bir muhasebe paketinden sonra, Finans yaz\u0131l\u0131mlar\u0131, ard\u0131ndan ERP (ki firman\u0131n i\u015flevine g\u00f6re dev bir data kayna\u011f\u0131 olabilir), IK yaz\u0131l\u0131m\u0131, firma biraz daha geli\u015ftik\u00e7e CRM, Raporlama \u00fcr\u00fcnleri, departmanlara \u00f6zel baz\u0131 ek yaz\u0131l\u0131mlar. Birde bunlara IoT ve sosyal medya kaynaklar\u0131 (facebook, twitter entegrasyonu vs.) eklenince firmalar\u0131n \u201cData zehirlenmesi\u201d ge\u00e7irmemesi imkans\u0131z.<\/p>\n\n\n\n<p>Bunu bir \u00f6rnekle sabitleyelim: mutfa\u011fa girdiniz, g\u00fczel bir et yeme\u011fi yapacaks\u0131n\u0131z. Mutfa\u011f\u0131n\u0131zda y\u00fczlerce \u00e7e\u015fit malzemeniz var. Yani malzemelerinizin olmas\u0131 g\u00fczel bir \u015fey ama hen\u00fcz bir i\u015fimize de yaram\u0131yor J<\/p>\n\n\n\n<p><strong>INFORMATION<\/strong>: Buna bilgi diyebiliriz san\u0131r\u0131m. Firman\u0131z g\u00fczel \u00e7al\u0131\u015f\u0131yor, istedi\u011finizden de fazla (en az\u0131ndan hacim olarak) datan\u0131z mevcut. \u0130\u015f zekas\u0131 projenizi yapmaya madden ve manen haz\u0131rs\u0131n\u0131z. \u00d6ncelikli amac\u0131m\u0131z bu data denizi i\u00e7erisinde i\u015fimize yarayan k\u0131sm\u0131n\u0131 se\u00e7memiz olacakt\u0131r.<\/p>\n\n\n\n<p>Bu konu o kadar \u00e7e\u015fitli ki bundan sonra yazaca\u011f\u0131m\u0131z onlarca yaz\u0131n\u0131n linkini ileride burada payla\u015f\u0131r olaca\u011f\u0131m. Zira ETL, Data se\u00e7imi, ihtiya\u00e7 analizleri gibi dev konular\u0131 i\u00e7eren bir kavram.<\/p>\n\n\n\n<p>Biz gene sabit \u00f6rne\u011fimize d\u00f6nelim: et yeme\u011fimiz i\u00e7in gerekli malzemeleri se\u00e7memiz ve bunlar\u0131 bize uygun olacak \u015fekilde haz\u0131rlamam\u0131z diyebiliriz. Bizim i\u00e7in \u015fimdilik gereksiz olan malzemeler nitelik ve nicelik olarak d\u0131\u015far\u0131da b\u0131rak\u0131l\u0131yor ve se\u00e7ilen malzeme (data) haz\u0131rlan\u0131yor.<\/p>\n\n\n\n<p><strong>KNOWLEDGE<\/strong>: Knowledge, bilgiden bir ad\u0131m daha \u00f6tesidir, \u201canlay\u0131\u015f\u201d ya da \u201ckavray\u0131\u015f\u201d diyebiliriz. Art\u0131k haz\u0131rlanm\u0131\u015f datam\u0131zdan ihtiya\u00e7lar\u0131m\u0131za uygun olarak analitik raporlar\u0131m\u0131z\u0131 \u00e7ekebiliriz. Bu raporlar\u0131m\u0131z firmam\u0131z\u0131n durumunu en \u00f6zetten en detaya kadar g\u00f6sterebildi\u011fi gibi gelecekteki stratejik kararlar\u0131m\u0131za da yol g\u00f6stermelidir.<\/p>\n\n\n\n<p>\u00d6zetle istedi\u011finiz et yeme\u011fini istedi\u011finiz malzemeden istedi\u011finiz kadar koyarak pi\u015firebilirsiniz. Afiyet olsun.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/media-exp1.licdn.com\/dms\/image\/C4E12AQHYYi47av8_ew\/article-inline_image-shrink_1000_1488\/0\/1520561205914?e=1623283200&amp;v=beta&amp;t=koFzgVvK2oaXKh3rgO7EALBmyRfooskA4NyM5ItfJDE\" alt=\"\"\/><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Baz\u0131 kelimelerin T\u00fcrk\u00e7eleri literat\u00fcrde tam olarak yerli yerine oturmad\u0131\u011f\u0131 i\u00e7in yaz\u0131lar\u0131mda bilin\u00e7li olarak \u0130ngilizce kar\u015f\u0131l\u0131klar\u0131n\u0131 kullan\u0131yor olaca\u011f\u0131m. Bu k\u0131sa a\u00e7\u0131klamadan sonra hemen h\u0131zla konumuza gireyim. Birbiri ile i\u00e7 i\u00e7e 3 kavramdan bahsedece\u011fiz: Data, Knowledge ve Information. DATA: San\u0131r\u0131m Datan\u0131n(Verinin) ge\u00e7mi\u015fi paran\u0131n bulunmas\u0131na kadar dayan\u0131yor. Paran\u0131n bulunmas\u0131 ile \u201cbor\u00e7 verme\u201d, bor\u00e7 verme ile birlikte de bunun [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":631,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[14,15,4],"tags":[],"_links":{"self":[{"href":"https:\/\/datarebus.com\/index.php\/wp-json\/wp\/v2\/posts\/630"}],"collection":[{"href":"https:\/\/datarebus.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/datarebus.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/datarebus.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/datarebus.com\/index.php\/wp-json\/wp\/v2\/comments?post=630"}],"version-history":[{"count":1,"href":"https:\/\/datarebus.com\/index.php\/wp-json\/wp\/v2\/posts\/630\/revisions"}],"predecessor-version":[{"id":632,"href":"https:\/\/datarebus.com\/index.php\/wp-json\/wp\/v2\/posts\/630\/revisions\/632"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/datarebus.com\/index.php\/wp-json\/wp\/v2\/media\/631"}],"wp:attachment":[{"href":"https:\/\/datarebus.com\/index.php\/wp-json\/wp\/v2\/media?parent=630"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/datarebus.com\/index.php\/wp-json\/wp\/v2\/categories?post=630"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/datarebus.com\/index.php\/wp-json\/wp\/v2\/tags?post=630"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}