Ihwo huzivi hweDevOps, kana kusimudzira kwasanganiswa nekugadzirisa software, hazvishamisi chero munhu. Maitiro matsva ari kuwedzera simba - DevOps 2.0 kana BizDevOps. Inosanganisa zvikamu zvitatu kuita imwechete yakazara: bhizinesi, kusimudzira uye rutsigiro. Uye sezvakangoita muDevOps, maitiro einjiniya anoumba hwaro hwekubatana pakati pebudiriro nerutsigiro, uye mukusimudzira bhizinesi, analytics inotora basa re "glue" rinobatanidza budiriro nebhizinesi.
Ndinoda kubvuma pakarepo: takangoona iye zvino kuti tine bhizimusi rekusimudzira, mushure mekuverenga mabhuku akachenjera. Zvakauya pamwe chete nekuda kwekutanga kwevashandi uye nechido chisingachinjiki chekuvandudza. Analytics ikozvino chikamu chebudiriro yekugadzira maitiro, zvakanyanya kudzikisira zvishwe zvemhinduro uye kugara ichipa ruzivo. Ini ndichakuudza zvakadzama kuti zvese zvinoshanda sei kwatiri.
Zvakaipa zveClassic DevOps
Kana zvigadzirwa zvitsva zvevatengi zvakaumbwa, bhizinesi rinogadzira yakanakira maitiro evatengi uye rinotarisira kutendeuka kwakanaka, pahwaro hwaro rinovaka zvibodzwa zvaro zvebhizinesi nemhedzisiro. Chikwata chekusimudzira, kune chikamu chayo, chinovavarira kugadzira yakanaka kwazvo, yemhando yepamusoro kodhi. Tsigiro inotarisira yakakwana otomatiki yemaitiro, kurerutsa uye nyore kuchengetedza chigadzirwa chitsva.
Chokwadi chinowanzoitika nenzira yekuti vatengi vanogashira maitiro akaomarara, bhizinesi rakanamira neshanduko yakaderera, zvikwata zvebudiriro zvinoburitsa gadziriso mushure mekugadzirisa, uye rutsigiro runonyudzwa mukuyerera kwezvikumbiro kubva kune vatengi. Unonzwika wakajaira?
Mudzi wehuipi pano uri mukureba uye urombo mhinduro loop yakavakwa mukuita. Mabhizinesi nevagadziri, kana vachiunganidza zvinodiwa uye kugamuchira mhinduro panguva yekumhanya, vanotaurirana nenhamba shoma yevatengi vanopesvedzera zvakanyanya kuguma kwechigadzirwa. Kazhinji icho chakakosha kumunhu mumwe hachisati chiri chakajairwa kune vese vanonangwa vateereri.
Kunzwisisa kana chigadzirwa chiri kufamba nenzira kwayo kunouya nemishumo yemari uye tsvakiridzo yemusika mwedzi mushure mekutanga. Uye nekuda kweiyo shoma saizi saizi, ivo havapi mukana wekuyedza hypotheses pane yakakura nhamba yevatengi. Kazhinji, inoshanduka kuva yakareba, isina kururama uye isingabatsiri.
Trophy tool
Takawana nzira yakanaka yekutiza kubva pane izvi. Chishandiso chaimbobatsira vatengesi chave kuwana nzira mumaoko emabhizinesi nevagadziri. Takatanga kushingaira kushandisa web analytics kuitira kuti titarise maitiro munguva chaiyo, pano uye ikozvino kuti tinzwisise zviri kuitika. Kubva pane izvi, ronga chigadzirwa chacho pachako uye ugochiendesa kune nhamba huru yevatengi.
Kana iwe uri kuronga imwe mhando yekuvandudzwa kwechigadzirwa, iwe unokwanisa kuona nekukurumidza kuti ndeapi metrics anoenderana nawo, uye kuti aya metric anokanganisa sei kutengesa uye hunhu hwakakosha kubhizinesi. Nenzira iyi iwe unogona kubva wabvisa ma hypotheses ane yakaderera maitiro. Kana, semuenzaniso, buritsa chinhu chitsva kune nhamba yakakosha yevashandisi uye tarisa metrics munguva chaiyo kuti unzwisise kana zvese zvichishanda sezvakarongwa. Usamirire mhinduro nenzira yekukumbira kana mishumo, asi nekukasira tarisa uye nekukasira gadzirisa maitiro ekugadzira chigadzirwa iwe pachako. Isu tinokwanisa kuburitsa chinhu chitsva, kuunganidza data rakaringana mumazuva matatu, kuita shanduko mune mamwe mazuva matatu - uye muvhiki chigadzirwa chitsva chikuru chagadzirira.
Iwe unogona kuteedzera faniro yese, vatengi vese vakasangana nechigadzirwa chitsva, kuona mapoinzi uko funnel yakatetepa zvakanyanya, uye kunzwisisa zvikonzero. Vese vanogadzira uye mabhizinesi vava kutarisa izvi sechikamu chebasa ravo rezuva nezuva. Ivo vanoona rwendo rwakafanana rwevatengi, uye pamwe chete vanogona kugadzira mazano uye fungidziro yekuvandudza.
Uku kubatanidzwa kwebhizinesi nekusimudzira pamwe chete neanalytics kunoita kuti zvikwanise kugadzira zvigadzirwa nguva dzose, gara uchinatsiridza, kutsvaga uye kuona mabhodhoro, uye maitiro ese akazara.
Zvose pamusoro pekuoma kunzwisisa
Kana isu tichigadzira chigadzirwa chitsva, hatitangi kubva pakutanga, asi tinochibatanidza mune yagara iripo webhu yemasevhisi. Paunenge uchiedza chigadzirwa chitsva, mutengi anowanzo sangana nemadhipatimendi akati wandei. Anokwanisa kutaurirana nevashandi vepanzvimbo, nemaneja muhofisi, anogona kubata rutsigiro, kana mu online chats. Tichishandisa metrics, isu tinogona kuona, semuenzaniso, kuti mutoro ndewei panzvimbo yekuonana, nzira yakanakisa yekugadzirisa zvikumbiro zvinouya. Isu tinokwanisa kunzwisisa kuti vangani vanhu vanosvika kuhofisi uye topa zano rekuwedzera kuraira mutengi.
Ndizvo chaizvo zvakafanana nehurongwa hwemashoko. Bhengi redu rave riripo kweanopfuura makore makumi maviri, panguva iyo dhizaini yakakura yeheterogeneous system yakagadzirwa uye ichiri kushanda. Kudyidzana pakati pe backend system dzimwe nguva kunogona kunge kusingafungidzirwe. Semuenzaniso, mune imwe tsika yekare kune zvirambidzo pahuwandu hwemavara kune imwe nzvimbo, uye dzimwe nguva izvi zvinokanganisa sevhisi nyowani. Zvakaoma kuronda tsikidzi uchishandisa nzira dzakajairwa, asi kushandisa web analytics zviri nyore.
Takasvika padanho ratakatanga kuunganidza nekuongorora magwaro ekukanganisa anoratidzwa kune mutengi kubva kune ese anobatanidzwa masisitimu. Zvakazoitika kuti dzakawanda dzadzo dzakanga dzava dzechinyakare, uye takanga tisingagoni kunyange kufungidzira kuti dzakanga dzakabatanidzwa neimwe nzira mukuita kwedu.
Kushanda neanalytics
Yedu webhu vanoongorora uye SCRUM zvikwata zvekusimudzira zviri mukamuri imwechete. Vanogara vachitaurirana. Kana zvichidikanwa, nyanzvi dzinobatsira kumisikidza metrics kana kudhawunirodha data, asi kazhinji nhengo dzechikwata pachadzo dzinoshanda nebasa reanalytics, hapana chakaoma ipapo.
Rubatsiro runodiwa kana, semuenzaniso, iwe uchida zvimwe zvinotsamira kana mamwe mafirita emhando shoma yevatengi kana masosi. Asi mune zvivakwa zvemazuva ano hatiwanzosangana neizvi.
Sezvineiwo, kuiswa kweanalytics kwaisada kuiswa kweiyo IT system itsva. Isu tinoshandisa software imwechete iyo vatengesi vakamboshanda nayo. Zvaingodiwa chete kubvumirana pakushandiswa kwayo uye kuishandisa mubhizinesi nekusimudzira. Ehe, isu takatadza kungotora izvo zvekushambadzira zvaive nazvo, taifanira kugadzirisa zvese patsva uye kupa kushambadzira kuwana kune iyo itsva nharaunda kuitira kuti ivo vagove mune imwecheteyo ruzivo ruzivo nesu.
Mune ramangwana, isu tinoronga kutenga yakavandudzwa vhezheni yewebhu analytics software iyo inozotitendera kutarisana nekuwedzera mavhoriyamu ezvirongwa zvakagadziriswa.
Isu tiri zvakare mubishi mukuita kwekubatanidza webhu analytics uye emukati dhatabhesi kubva kuCRM uye accounting masisitimu. Nekubatanidza data, tinowana mufananidzo wakazara wemutengi mune ese anodiwa maficha: nekwakabva, rudzi rwemutengi, chigadzirwa. BI masevhisi anobatsira kuona data achakurumidza kuwanikwa kumadhipatimendi ese.
Takazopedzisira nei? Muchokwadi, isu takaita analytics nekuita sarudzo pairi chikamu chemaitiro ekugadzira, ayo aive nemhedzisiro inooneka.
Analytics: usatsike pane rake
Uye pakupedzisira, ini ndinoda kugovera mamwe matipi anozokubatsira kuti urege kupinda mudambudziko mukugadzira bhizinesi rekusimudzira bhizinesi.
- Kana iwe usingakwanise kuita analytics nekukurumidza, saka iwe uri kuita zvisirizvo analytics. Iwe unofanirwa kutevera nzira iri nyore kubva kune chimwe chigadzirwa uye wobva wakwira kumusoro.
- Iwe unofanirwa kuve uine timu kana munhu ane nzwisiso yakanaka yeramangwana analytics architecture. Iwe uchiri kuda kusarudza pamahombekombe kuti uchayera sei analytics, kuibatanidza mune mamwe masisitimu, uye kushandisa zvakare data.
- Usagadzira data isingakoshi. Webhu nhamba, kuwedzera kune ruzivo runobatsira, zvakare iguru hombe remarara rine yakaderera-mhando uye isina basa data. Uye marara aya achapindira nekuita sarudzo uye kuongorora kana pasina zvinangwa zvakajeka.
- Usaite analytics nekuda kweanalytics. Kutanga, zvibodzwa, sarudzo yechishandiso, uye chete ipapo - analytics chete pazvichava nemhedzisiro.
Nyaya yacho yakagadzirirwa pamwe chete naChebotar Olga ().
Source: www.habr.com