Kwemakore mazhinji ikozvino ndanga ndichitungamira kambani inova mumwe wevatungamiriri mukushandiswa kweBI masisitimu muRussia uye inogara ichiverengerwa muzvinyorwa zvepamusoro zvevanoongorora maererano nehuwandu hwebhizinesi mumunda weBI. Munguva yebasa rangu, ndakatora chikamu mukuitwa kweBI masisitimu mumakambani kubva munzvimbo dzakasiyana dzehupfumi - kubva pakutengesa nekugadzira kusvika kuindasitiri yemitambo. Naizvozvo, ndinonyatsoziva zvinodiwa nevatengi vebhizinesi rehungwaru mhinduro.
Mhinduro dzevatengesi vekune dzimwe nyika dzinonyatsozivikanwa, vazhinji vavo vane mhando yakasimba, tarisiro yavo inoongororwa nemasangano makuru ekuongorora, nepo edzimba dzeBI masisitimu mazhinji anoramba ari niche zvigadzirwa. Izvi zvinoomesa zvakanyanya sarudzo kune avo vari kutsvaga mhinduro yekuzadzisa zvavanoda.
Kuti ndibvise dambudziko iri, boka revanhu vane pfungwa dzakafanana uye ini takasarudza kuita ongororo yeBI masisitimu akagadzirwa nevagadziri veRussia - "Gromov's BI denderedzwa". Isu takaongorora akawanda emumba mhinduro pamusika uye takaedza kuratidza masimba avo uye kusasimba kwavo. Nekudaro, nekuda kwazviri, vanogadzira masisitimu anosanganisirwa muongororo vachakwanisa kutarisa zvakanakira nekuipira zvezvigadzirwa zvavo kubva kunze uye, pamwe, kugadzirisa kune yavo nzira yekuvandudza.
Ichi ndicho chiitiko chekutanga chekugadzira ongororo yakadaro yeRussia BI masisitimu, saka isu takanangana nekuunganidza ruzivo nezve emumba masisitimu.
Ongororo yeRussia BI masisitimu iri kuitwa kekutanga; basa rayo guru harina kunyanya kuziva vatungamiriri nevekunze, asi kuunganidza ruzivo rwakakwana uye rwakavimbika nezvemikana yemhinduro.
Mhinduro dzinotevera dzakatora chikamu mukuongorora: Visiology, Alpha BI, Foresight.Analytical platform, Modus BI, Polymatica, Loginom, Luxms BI, Yandex.DataLens, Krista BI, BIPLANE24, N3.ANALYTICS, QuBeQu, BoardMaps OJSC Dashboard Systems, Slemma BI , KPI Suite, Malahit: BI, Naumen BI, MAYAK BI, IQPLATFORM, A-KUB, NextBI, RTanalytics, Simpl.Data management platform, DATAMONITOR, Galaxy BI, Etton Platform, BI Module
Kuongorora mashandiro uye ekuvaka maficha eRussia BI mapuratifomu, isu takashandisa ese ari maviri data emukati akapihwa nevagadziri uye akavhurika masosi eruzivo - mhinduro masosi, kushambadzira uye tekinoroji zvinhu kubva kune vatengesi.
Vaongorori, zvichibva paruzivo rwavo pachavo mukushandisa masisitimu eBI uye zvinodiwa zvekutanga zvemakambani ekuRussia ekushanda kweBI, vaona akati wandei ma paramita anovabvumira kuona kufanana nekusiyana kwemhinduro, uye vobva varatidza masimba avo uye kusasimba kwavo.
Aya ndiwo maparameter
Kutonga, chengetedzo, uye BI papuratifomu architecture - muchikamu ichi, kuvapo kwetsanangudzo yakadzama yehunyanzvi hunovimbisa kuchengetedzwa kwepuratifomu, pamwe nekushanda kwekutonga kwevashandisi uye kuongororwa kwekuwana, kwakaongororwa. Huwandu hwehuwandu hweruzivo nezve chikuva chepuratifomu hwakatorwawo mukufunga.
Cloud BI - iyi criterion inokubvumira kuti uongorore kuwanikwa kwekubatanidza uchishandisa Platform seSevhisi uye Analytic Chikumbiro seSevhisi modhi yekugadzira, kutumira uye kutonga yekuongorora uye yekuongorora maapplication ari mugore zvichienderana nedata zvese zviri mugore uye pane-nzvimbo.
Kubatanidza kune sosi uye kugamuchira data -Chiyero chinotarisa kugona kunobvumira vashandisi kuti vabatanidze kune yakarongeka uye isina kurongeka data iri mumhando dzakasiyana dzemapuratifomu ekuchengetera (ane hukama uye asiri ehukama) - ese emunharaunda uye gore.
Metadata Management - inofunga nezvekuvapo kwekutsanangurwa kwezvishandiso zvinobvumira kushandiswa kwechimiro chechimiro chechimiro uye metadata. Vanofanira kupa vatariri nzira yakavimbika uye yepakati yekutsvaga, kutora, kuchengeta, kushandisazve, uye kushambadza metadata zvinhu zvakaita semakuro, nhanho, zviyero, mashandiro ekuita, kana makiyi ekuita zviratidzo (KPIs), uye anogona zvakare kushandiswa kutaura nezvazvo. marongerwo zvinhu, parameters, nezvimwe. Iyo inoshanda criterion inofungawo kugona kwevatariri kusimudzira data uye metadata inotsanangurwa nevashandisi vebhizinesi muSOR metadata.
Kuchengetedza data uye kurodha -Ichi chiyero chinokutendera kuti uongorore kugona kwepuratifomu yekuwana, kubatanidza, kushandura uye kurodha data muinjini inozvimiririra yekuita ine kugona kunongedzera data, kubata kurodha data uye kugadzirisa zvirongwa. Iko kuwanikwa kwekushanda kweextranet deployment inotariswa zvakare: iyo puratifomu inotsigira kufambiswa kwebasa kwakafanana neinochinjika yepakati BI kupa kune mutengi wekunze kana mugari kuwana kune yekuongorora zvirimo munharaunda yeruzhinji.
Kugadzirira kwedata - chiyero chinotarisa kuwanikwa kwekushanda kwe "kudhonza uye kudonha" kushandiswa kwevashandisi-inodzorwa yedata kubva kwakasiyana-siyana uye kusikwa kwekuongorora maitiro akadai semashandisi-anotsanangurwa matanho, seti, mapoka uye hierarchies. Hunyanzvi hwepamberi pasi peichi chiyero zvinosanganisira semantic auto-discovery kugona nerutsigiro rwekudzidza muchina, hungwaru kuunganidza uye profiling, chizvarwa chehierarchy, kugovera uye kusanganisa kwedata kune akawanda masosi, kusanganisira akawanda-akaumbwa data.
Scalability uye kuoma kweiyo data modhi -Iyo parameter inoongorora kuvepo uye kuzara kweruzivo nezve on-chip memory meshini kana dhizaini mudhatabhesi, nekuda kwekuti mavhoriyamu makuru edata anogadziriswa, mamodhi akaomarara anogadziriswa uye kushanda kunogadziriswa uye kuendeswa kune nhamba huru yevashandisi. .
Advanced Analytics -Yakaongororwa kuwanikwa kwekushanda kunobvumira vashandisi kuwana nyore nyore epamberi ekuongorora hunyanzvi kuburikidza nemenu-based sarudzo kana nekutora kunze nekubatanidza mamodheru akagadzirwa kunze.
Analytical dashboards - chirevo ichi chinotarisa kuvapo kwetsanangudzo yekushanda kwekugadzira kudyidzana kwemashoko mapaneru uye zvinyorwa zvine tsvakurudzo yekuona uye yakavakirwa-mukati yepamusoro uye geospatial analytics, kusanganisira kushandiswa nevamwe vashandisi.
Interactive kuona kuongorora -Inoongorora kukwana kweiyo data yekuongorora mashandiro uchishandisa akasiyana ekuona sarudzo anodarika ekutanga pie uye mitsara machati, anosanganisira kupisa uye miti mepu, geographic mepu, kuparadzira zvirongwa uye mamwe maonesheni ane hunyanzvi. Kunocherechedzwawo kugona kuongorora nekushandisa data nekudyidzana zvakananga neinomiririra inomiririra, ichiratidza sezvikamu nemapoka.
Advanced Data Discovery - Ichi chiyero chakaongorora kuvepo kwekushanda kuti uwane otomatiki, kuona uye kutaurirana zvakakosha tsananguro senge kuwirirana, kunze, masumbu, zvinongedzo uye kufanotaura mune data inoenderana nevashandisi, pasina kuvada kuti vagadzire mamodheru kana kunyora algorithms. Yakafungawo kuwanikwa kweruzivo nezvemikana yekuongorora data uchishandisa zviratidziro, kutaura nyaya, kutsvaga, uye nemutauro wechisikigo mubvunzo (NLQ) matekinoroji.
Kushanda pane nharembozha -muyero uyu unotarisa kuwanikwa kwemashandiro ekugadzira uye kuendesa zvirimo kune nharembozha nechinangwa chekuburitsa kana kudzidza pamhepo. Dhata pamusoro pekushandiswa kweanowanikwa nharembozha hunyanzvi senge touchscreen, kamera uye nzvimbo inoongororwawo.
Embedding Analytical Content - ichi chiyero chinotarisa kuwanikwa kweruzivo nezve seti yevagadziri vesoftware vane API interfaces uye kutsigirwa kweakavhurika zviyero zvekugadzira uye kugadzirisa analytical content, visualizations uye maapplication, kuzvibatanidza mubhizinesi process, application kana portal. Aya masimba anogona kugara kunze kwechishandiso, achishandisa zvakare analytics zvivakwa, asi zvinofanirwa kuwanikwa zviri nyore uye zvisina mutsetse kubva mukati mekushandisa pasina kumanikidza vashandisi kuchinja pakati pemasystem. Iyi parameter zvakare inofunga nezve kuwanikwa kweanalytics uye BI yekubatanidza kugona neiyo application architecture, iyo inobvumira vashandisi kusarudza panofanira kuiswa analytics mubhizinesi maitiro.
Analytic Content Publishing and Collaboration - Ichi chiyero chinotarisa kugona kunogonesa vashandisi kuburitsa, kutumira, uye kushandisa analytic zvemukati kuburikidza nemhando dzakasiyana dzekubuda uye nzira dzekugovera, nerutsigiro rwekuwanikwa kwemukati, kuronga, uye kunyevera.
Kureruka kwekushandisa, kukwezva kwekuona uye kusanganisa kwekufamba kwebasa - iyi parameter inopfupisa kuwanikwa kweruzivo pamusoro pekureruka kwekutonga uye kutumirwa kwepuratifomu, kusikwa kwemukati, kushandiswa uye kudyidzana nezviri mukati, pamwe nechiyero chekukwezva kwechigadzirwa. Kunotariswawo hukuru hwekugona uku kunopihwa mune chimwe chigadzirwa chisina musono uye mafambiro ebasa, kana kune akawanda zvigadzirwa zvine kusanganisa kushoma.
Kuvapo munzvimbo yeruzivo, PR - iyo criterion inoongorora kuwanikwa kweruzivo nezve kuburitswa kweshanduro nyowani uye mapurojekiti akaiswa munzvimbo dzakavhurika - munhau, pamwe nechikamu chenhau pane chigadzirwa kana webhusaiti yevagadziri.
Source: www.habr.com