{"id":8629,"date":"2022-06-15T07:25:27","date_gmt":"2022-06-15T05:25:27","guid":{"rendered":"https:\/\/www.leaplytics.de\/?p=8629"},"modified":"2022-06-15T07:25:30","modified_gmt":"2022-06-15T05:25:30","slug":"biznesa-izlukosana-maziem-uznemumiem-kad-tam-ir-jega-2-dala","status":"publish","type":"post","link":"https:\/\/www.leaplytics.de\/lv\/biznesa-izlukosana-maziem-uznemumiem-kad-tam-ir-jega-2-dala\/","title":{"rendered":"Biznesa izl\u016bko\u0161ana mazajiem uz\u0146\u0113mumiem - kad tas ir lietder\u012bgi? - 2 DA\u013bA"},"content":{"rendered":"<p>Tie, kas zina n\u0101kotni, ir priek\u0161\u0101! M\u016bsu tr\u012bsda\u013c\u012bgaj\u0101 rakst\u0101 lasiet, k\u0101p\u0113c biznesa inteli\u0123ence ir \u012bpa\u0161i svar\u012bga maziem un vid\u0113jiem uz\u0146\u0113mumiem (MVU), cik sare\u017e\u0123\u012bts paties\u012bb\u0101 ir pirmais solis, bet k\u0101das ir ar\u012b b\u016btisk\u0101s priek\u0161roc\u012bbas un k\u0101 j\u016bs varat efekt\u012bvi risin\u0101t visu \u0161o jaut\u0101jumu. MVU kontroles un vad\u012bbas eksperts Andreas Maliks (Andreas Malik), k\u0101 ar\u012b biznesa inteli\u0123ences speci\u0101listi un viena no vado\u0161ajiem datu vizualiz\u0101ciju un pane\u013cu Power BI un Qlik Sense pakalpojumu sniedz\u0113jiem Stefans Preuslers (Stefan Preusler) un Dominiks Galsheimers (Dominik Galsheimer) ar savu pieredzi un ekspertu zin\u0101\u0161an\u0101m j\u016bs iepaz\u012bstin\u0101s ar \u0161\u012bm 3 aizraujo\u0161aj\u0101m rakstu s\u0113rijas da\u013c\u0101m. Pirmaj\u0101 da\u013c\u0101 m\u0113s apl\u016bkosim, k\u0101p\u0113c Business Intelligence un MVU labi sader kop\u0101. Otraj\u0101 da\u013c\u0101 apl\u016bkota skaidra priek\u0161roc\u012bbu noteik\u0161ana un l\u012bdz ar to pareiz\u0101 br\u012b\u017ea atra\u0161ana, kad to uzs\u0101kt. P\u0113c tam tre\u0161aj\u0101 da\u013c\u0101 tiek par\u0101d\u012bti svar\u012bgi pirmie \u012bsteno\u0161anas un ievie\u0161anas so\u013ci.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-css-opacity\"\/>\n\n\n\n<p><strong>2. da\u013ca: Pareiz\u0101 laika atra\u0161ana un priek\u0161roc\u012bbu apzin\u0101\u0161ana<\/strong><\/p>\n\n\n\n<p>Vairum\u0101 gad\u012bjumu nav viegli noteikt \u012bsto br\u012bdi, kad p\u0101riet uz BI sist\u0113mu. J\u0101atz\u012bst, ka piln\u012bga atskai\u0161u sist\u0113ma Excel tika izveidota ar lielu piep\u016bli, r\u016bp\u012bgi str\u0101d\u0101jot pie deta\u013c\u0101m, un t\u0101 past\u0101v\u012bgi tiek piel\u0101gota pa\u0161reiz\u0113j\u0101m vajadz\u012bb\u0101m. Da\u017eos gad\u012bjumos piel\u0101go\u0161anu veic daudzi da\u017e\u0101di cilv\u0113ki, praktikanti vai pagaidu darbinieki, kuri ienes atbilsto\u0161u Excel zin\u0101t\u012bbu. Pieredze r\u0101da, ka \u0161\u0101di apgalvojumi liecina par to, ka Excel sasniedz savas robe\u017eas:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Excel faili k\u013c\u016bst arvien liel\u0101ki un liel\u0101ki, un tie kalpo k\u0101 datu b\u0101ze.<\/li><li>Tie bie\u017ei avar\u0113 un k\u013c\u016bst \u013coti apgr\u016btino\u0161i.<\/li><li>T\u0101s parasti ir pieejamas tikai uz vietas. P\u0101rskati tiek izdruk\u0101ti vai nos\u016bt\u012bti pa pastu. \"Paties\u012bba\" eksist\u0113 vair\u0101k\u0101s mapju strukt\u016br\u0101s, pastkast\u012bt\u0113s, fizisk\u0101s mapju skapjos un atvilktn\u0113s.<\/li><li>Izmai\u0146as prasa arvien vair\u0101k p\u016b\u013cu, un to ievie\u0161ana aiz\u0146em daudz laika.<\/li><li>Datu p\u0101rs\u016bt\u012b\u0161ana no viena Excel faila uz citu aizvien bie\u017e\u0101k tiek veikta manu\u0101li.<\/li><li>Arvien bie\u017e\u0101k rodas neatbilst\u012bbas starp zi\u0146ojumiem\/zi\u0146o\u0161anas notikumiem, un palielin\u0101s ofici\u0101lo zi\u0146ojumu un nov\u0113rt\u0113\u0161anas notikumu p\u0101rbaudes darbs.<\/li><li>Papildus vad\u012bbai ir arvien vair\u0101k iek\u0161\u0113jo p\u0101rskatu sa\u0146\u0113m\u0113ju ar individu\u0101l\u0101m p\u0101rskatu pras\u012bb\u0101m.<\/li><li>Ja zi\u0146o\u0161ana ir decentraliz\u0113ta, piem\u0113ram, uz produktu vai p\u0101rdo\u0161anas jom\u0101m, rodas papildu neatbilst\u012bbas un da\u017eos gad\u012bjumos tiek zi\u0146oti at\u0161\u0137ir\u012bgi dati.<\/li><li>Papildus iek\u0161\u0113j\u0101m ieinteres\u0113taj\u0101m person\u0101m arvien vair\u0101k ir ar\u012b \u0101r\u0113jo ieinteres\u0113to personu, kuras pieprasa juridisk\u0101s strukt\u016bras (taksonomijas), kas parasti \u013coti at\u0161\u0137iras no iek\u0161\u0113j\u0101m strukt\u016br\u0101m.<\/li><li>Arvien bie\u017e\u0101k tiek piepras\u012btas s\u012bkas ad hoc anal\u012bzes. Datu strukt\u016bras nesakr\u012bt, un t\u0101s ir j\u0101apstr\u0101d\u0101 un j\u0101sal\u012bdzina, ieguldot daudz p\u016b\u013cu.<\/li><li>Finan\u0161u dati arvien vair\u0101k j\u0101paskaidro ar darb\u012bbas datiem, piem\u0113ram, produktu, tirgus un klientu sortimenta, pe\u013c\u0146as, ra\u017eo\u0161anas novir\u017eu u. c. ietekmi.<\/li><li>Tabulu strukt\u016bras vairs nav pietiekamas, lai kopsavilkuma veid\u0101 atspogu\u013cotu savstarp\u0113j\u0101s sakar\u012bbas. Rezult\u0101ts ir \"skait\u013cu kaps\u0113tas\".<\/li><li>Dati un savstarp\u0113j\u0101s saiknes aizvien bie\u017e\u0101k j\u0101izskaidro, izmantojot vair\u0101kas dimensijas, piem\u0113ram, produktus, klientus, fili\u0101les, re\u0123ionus, strukt\u016brvien\u012bbas, ra\u017eotnes utt.<\/li><\/ul>\n\n\n\n<p><strong>K\u0101das priek\u0161roc\u012bbas pied\u0101v\u0101 BI risin\u0101jumi?<\/strong><\/p>\n\n\n\n<p>Kad uz\u0146\u0113mumi arvien bie\u017e\u0101k saskaras ar iepriek\u0161 min\u0113tajiem izaicin\u0101jumiem, tie apsver BI sist\u0113mas ievie\u0161anu. BI sist\u0113mas priek\u0161roc\u012bbas MVU var apkopot \u0161\u0101di:<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>Vienotu un visaptvero\u0161u datu b\u0101zi var izmantot jebkur\u0101 laik\u0101 (b\u0101ze ir finan\u0161u un nefinan\u0161u dati).<\/li><li>Visos zi\u0146ojumos tiek izmantotas vienotas un integr\u0113tas datu strukt\u016bras.<\/li><li>Standartiz\u0113tas vizualiz\u0101cijas sniedz p\u0101rskatu veidot\u0101jiem iesp\u0113ju izveidot un att\u0113lot sare\u017e\u0123\u012btas attiec\u012bbas \u013coti efekt\u012bv\u0101 un integr\u0113t\u0101 veid\u0101.<\/li><li>Vienveid\u012bga inform\u0101cijas izplat\u012b\u0161ana galvenok\u0101rt tie\u0161saist\u0113, un t\u0101 ir pieejama vis\u0101s ier\u012bc\u0113s, un t\u0101 ir piel\u0101gojama. Lietot\u0101ji var individu\u0101li ieg\u016bt un kontrol\u0113t inform\u0101cijas vajadz\u012bbas rea\u0123\u0113jo\u0161\u0101 saskarn\u0113, piem\u0113ram, izmantojot filtrus vai padzi\u013cin\u0101jumus, vai turpm\u0101ku piek\u013cuvi citiem saist\u012btiem datiem.<\/li><\/ul>\n\n\n\n<p>Jo \u012bpa\u0161i samazin\u0101s manu\u0101l\u0101 darba apjoms, kas nepiecie\u0161ams datu izveidei, labo\u0161anai un verifik\u0101cijai. Turkl\u0101t tiek pied\u0101v\u0101tas funkcijas, kas \u013coti atvieglo paaugstin\u0101to pras\u012bbu izpildi.<\/p>\n\n\n\n<p>BI sist\u0113mas b\u016btiskais m\u0113r\u0137is nedr\u012bkst b\u016bt novirz\u012bts no uzman\u012bbas, proti, atbalst\u012bt l\u0113mumu pie\u0146em\u0161anu un g\u016bt ieskatu datos. BI sist\u0113ma ir noder\u012bga, ja t\u0101 atbr\u012bvo uz\u0146\u0113mumu no manu\u0101las darb\u012bbas. Darb\u012bbas ne tikai ieskatu rad\u012b\u0161an\u0101, bet ar\u012b interpret\u0113\u0161an\u0101 un ar\u012b l\u0113mumu atvasin\u0101\u0161an\u0101. Tas liel\u0101koties tiek pan\u0101kts, ja tiek par\u0101d\u012btas sakar\u012bbas vai atkar\u012bbas, kas cit\u0101di b\u016btu j\u0101izdara pa\u0161am cilv\u0113kam ar savu izpratni un smadzen\u0113m. \u012apa\u0161i apstr\u0101d\u0101jot lielu inform\u0101cijas apjomu, cilv\u0113ka smadzenes sasniedz robe\u017eas, kas tehniskai sist\u0113mai s\u0101kotn\u0113ji nepast\u0101v.<\/p>\n\n\n\n<p>Tre\u0161aj\u0101 da\u013c\u0101 lasiet, k\u0101 pareizi struktur\u0113t BI t\u0113mu un k\u0101di var b\u016bt pirmie konkr\u0113tie so\u013ci j\u016bsu uz\u0146\u0113mum\u0101. <\/p>\n\n\n\n<p>Ja ir v\u0113l k\u0101di jaut\u0101jumi, m\u0113s esam j\u016bsu r\u012bc\u012bb\u0101:<\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.leaplytics.de\/wp-content\/uploads\/2022\/06\/Screenshot-2022-06-07-203456.png\" alt=\"\" class=\"wp-image-8481\" width=\"834\" height=\"447\" srcset=\"https:\/\/www.leaplytics.de\/wp-content\/uploads\/2022\/06\/Screenshot-2022-06-07-203456.png 600w, https:\/\/www.leaplytics.de\/wp-content\/uploads\/2022\/06\/Screenshot-2022-06-07-203456-300x161.png 300w, https:\/\/www.leaplytics.de\/wp-content\/uploads\/2022\/06\/Screenshot-2022-06-07-203456-112x60.png 112w\" sizes=\"auto, (max-width: 834px) 100vw, 834px\" \/><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-css-opacity\"\/>","protected":false},"excerpt":{"rendered":"<p>Tie, kas zina n\u0101kotni, ir priek\u0161\u0101! M\u016bsu tr\u012bsda\u013c\u012bgaj\u0101 rakst\u0101 lasiet, k\u0101p\u0113c biznesa inteli\u0123ence ir \u012bpa\u0161i svar\u012bga maziem un vid\u0113jiem uz\u0146\u0113mumiem (MVU), cik sare\u017e\u0123\u012bts paties\u012bb\u0101 ir pirmais solis, bet k\u0101das ir ar\u012b b\u016btisk\u0101s priek\u0161roc\u012bbas un k\u0101 j\u016bs varat efekt\u012bvi risin\u0101t visu \u0161o jaut\u0101jumu. MVU eksperts kontroles un ... <\/p>","protected":false},"author":1,"featured_media":8480,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-8629","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","latest_post"],"_links":{"self":[{"href":"https:\/\/www.leaplytics.de\/lv\/wp-json\/wp\/v2\/posts\/8629","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.leaplytics.de\/lv\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.leaplytics.de\/lv\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.leaplytics.de\/lv\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.leaplytics.de\/lv\/wp-json\/wp\/v2\/comments?post=8629"}],"version-history":[{"count":0,"href":"https:\/\/www.leaplytics.de\/lv\/wp-json\/wp\/v2\/posts\/8629\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.leaplytics.de\/lv\/wp-json\/wp\/v2\/media\/8480"}],"wp:attachment":[{"href":"https:\/\/www.leaplytics.de\/lv\/wp-json\/wp\/v2\/media?parent=8629"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.leaplytics.de\/lv\/wp-json\/wp\/v2\/categories?post=8629"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.leaplytics.de\/lv\/wp-json\/wp\/v2\/tags?post=8629"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}