Analytics Asset Management ®️

Makambani anodyara zvakanyanya muanalytics yavo, kubva pamarezinesi esoftware uye mapuratifomu kusvika kune Hardware, vashandi, uye data. Maitiro acho haasi nyore, uye mari yakakwira. Data iri munzvimbo dzakawanda uye mafomati uye ine nyaya dzemhando. Chengetedzo yakakosha, uye data inoda kuchengetedzwa. 

Mhedzisiro yacho yakakosha: madhibhodhi, ongororo, uye mishumo (DAR) inopa kukosha kukuru mushure mekutorwa, asi nekufamba kwenguva, zvakakosha zvinoshanduka. Masangano ane maitiro ekugadzira nekuchengetedza midziyo iyi asi haashandise misimboti yakakosha yekutarisira midziyo inowanzoitika pamari nezvimwe zvinhu. Zvikwata zveAnalytics zvine zvakawanda zvekuwana kubva mukubata kwavo analytics assets.

The Gold Standard of

Analytics Asset Management

Zvinhu zvakakosha zveAsset Management drive zvirinani Analytics

Analytics asset manejimendi inopa nzwisiso huru mukutonga iyo ROI yezvinhu uye kuita sarudzo dzemabatiro ehupenyu hwavo. Hedzino nhanhatu dzinokosha dzekutarisa:

Kukosha Kuwedzerwa

Ona Zvimwe →
Q

Mishumo uye dashboards akagadzirwa kuti ape ruzivo rwakakosha kune vanobatana. Nokufamba kwenguva, zvakadaro, kukosha kwezvinhu kunoshanduka. 

Kana kambani ikavhura chitoro chayo chekutanga mune imwe nzvimbo, pane zvinhu zvakawanda zvinofanirwa kunzwisisa - zvimwe zvitoro munharaunda, maitiro emigwagwa, mutengo wezvigadzirwa, izvo zvigadzirwa zvekutengesa, nezvimwe. Kana chitoro chave kushanda kwenguva yakati, chaiwo haana kukosha zvakanyanya, uye anogona kutora yakajairwa kushuma. Izvo zvakagadzirirwa-zvakagadzirwa analytic assets zvinove zvisina basa uye hazvichawedzere kukosha kune maneja wechitoro.

Hupenyu Hupenyu

Ona Zvimwe →
Q

Kubvuma kuti shanduko yemidziyo kuburikidza nezvikamu zvakasiyana inobvumira sarudzo dzakasimba dzekutonga padanho rega rega. Sezvo zviratidziro zvitsva zvinoburitswa, ruzivo rwunotungamira kune broad kushandiswa uye kugamuchirwa.

Funga nezvekutanga kwedenda. COVID dashboards akakurumidza kuiswa pamwechete uye akaburitswa kune bhizinesi, achiratidza ruzivo rwakakodzera: kupararira kwehutachiona, huwandu hwevanhu hwakakanganisa bhizinesi nenjodzi, nezvimwe. Panguva iyoyo, yaive yakakosha uye yakashanda chinangwa chayo. Sezvo isu takapfuura denda, ruzivo rweCCIDIDS rwakabva rwapera, uye kushuma kwakabatanidzwa mune yakajairwa HR yekushuma. 

Kukundikana & Modes

Ona Zvimwe →
Q

Haasi ese marepoti nemadhibhodhi anokundikana zvakafanana; Mimwe mishumo inogona kunonoka, tsananguro dzinogona kushanduka, kana huchokwadi hwedata uye kukosha kunogona kudzikira. Kunzwisisa kusiyana uku kunobatsira kutarisira njodzi iri nani.

Kushambadzira kunoshandisa akati wandei mashumo emakambani ayo - akajairwa analytic assets anowanzo kuendeswa kuburikidza nekushambadzira maturusi. Mari ine mishumo yakaoma kwazvo yakashandurwa kubva kuExcel kuenda kuBI maturusi uku ichibatanidza mitemo yekubatanidza yakasiyana. Mishumo yekushambadzira ine nzira yekutadza yakasiyana pane mishumo yemari. Naizvozvo, ivo vanofanirwa kutariswa zvakasiyana. 

Yave nguva yekuongorora bhizinesi repamwedzi rekambani. Dhipatimendi rekutengesa rinoenderera mberi nekuzivisa pamusoro pezvinotungamira zvakatorwa nemutengesi. Zvinosuruvarisa, hafu yeboka yakasiya sangano, uye data inokundikana kutakura zvakarurama. Kunyangwe ichi chiri kukanganisa kuboka rekushambadzira, hazvina kukanganisa bhizinesi. Nekudaro, kutadza mukuzivisa kwemari kune kambani yekubvunza vanhu vane 1000s makondirakiti ayo ane yakaoma uye yakaoma kuverenga nezvehurwere, mubhadharo, maawa, nezvimwe, zvine zvazvinoreva uye zvinoda kubatwa zvakasiyana.

Probability

Ona Zvimwe →
Q

Kuoma kwezvinhu kunokanganisa mukana wavo wekusangana nematambudziko. 

Chinhu chekupedzisira chinodiwa nebhizinesi ndechekuti mushumo kana app ikundikane panguva yakakosha. Kana iwe uchiziva kuti rondedzero yakaoma uye ine zvakawanda zvinotsamira, saka mukana wekutadza kunokonzerwa neIT shanduko wakakwira. Izvi zvinoreva kuti chikumbiro chekuchinja chinofanira kuverengerwa. Kutsamira magirafu anova akakosha. Kana iri mushumo wakananga wekutengesa unotaurira zvinyorwa nemutengesi neakaunti, chero shanduko dzakaitwa hadzina maitiro akafanana pamushumo, kunyangwe ikakundikana. BI mashandiro anofanirwa kubata aya mishumo zvakasiyana panguva yekuchinja.

Migumisiro

Ona Zvimwe →
Q

Mhedzisiro yekutadza kweasset inosiyana, uye zvinokonzeresa bhizinesi zvinogona kuve zvishoma kana zvakanyanya.  

Maindasitiri akasiyana ane akasiyana ekudzora zvinodiwa kuti asangane. Mhedzisiro yacho inogona kunge iri shoma kana mushumo wekupera-kwegore wekuvhara uine koramu yakanyorwa zvisirizvo iyo dhipatimendi rekutengesa kana rekushambadzira rinoshandisa, Ukuwo, kana rondedzero yehutano kana yezvemari isingaite zvinodiwa neHIPPA kana SOX kutevedzera. Chirevo, kambani neC-level suite inogona kutarisana nezvirango zvakakomba uye kukuvadzwa kwezita. Mumwe muenzaniso ishumo inogoverwa kunze. Munguva yekuvandudzwa kweiyo mishumo specs, iyo yakaderera-yepamusoro chengetedzo yakashandiswa zvisizvo, izvo zvakaita kuti vanhu vawane ruzivo rwemunhu.

Zvose Zvikwereti zveMugove

Ona Zvimwe →
Q

Sezvo nzvimbo yeBI inoshanduka, masangano anofanirwa kufunga nezve iyo yepasi yekuunganidza midziyo yeanalytics. 

Kuwanda kwemidziyo yauinayo, kunowedzera mutengo kubhizinesi rako. Kune mitengo yakaoma yekuchengeta midziyo isina basa, kureva, gore kana server simba. Kuunganidza akawanda mavhezheni ekuona kumwe chete hakutore nzvimbo chete, asi vatengesi veBI vari kuenda kumitengo yekugona. Makambani ikozvino anobhadhara zvakanyanya kana uine mamwe madhibhodhi, mapurogiramu, uye mishumo. Kare, takambotaura nezve dependencies. Kuchengeta zvinhu zvisina basa kunowedzera huwandu hwekutsamira uye nekudaro kuoma. Izvi zvinouya nemutengo wemutengo.

Motio's

Maitiro Akazara

Kubudirira kwehungwaru hwebhizinesi mhedzisiro inotsamira pakuva nemidziyo chaiyo kana ichidikanwa. Motio's Analytics Asset Management ndiyo "chakavanzika" chinochengeta mishumo inodiwa, dashibhodhi, uye ongororo pamunwe wako kuti ukurudzire mabasa ako anofambiswa nedata. Kushandisa kwe Motio's Analytics Asset Management inopa:

Comprehensive Asset Inventory

  • Wana kunzwisisa kwakakwana kwezvinhu zvako zviripo 
  • Ziva, ronga, uye tarisa zvinhu zvako, uchiona kuti hapana chinofuratirwa

Detailed Assessments

  • Nzwisisa kuoma uye kushandiswa kwezvinhu, mishumo, uye dashboards
  • Inopa ruzivo rwezvinhu zvine hunyanzvi kana zvakakosha
  • Deredza njodzi yemapurojekiti eBI
  • Nzvimbo yekutanga yekutarisa purojekiti yako

Kuzivikanwa Dhizaini & Maintenance Matambudziko

  • Ziva dhizaini kana kugadzirisa matambudziko anogona kutadzisa yako analytics assets kuita 
  • Gadzirisa matambudziko anotungamira mukuvandudza kushanda uye kurongeka mune yako BI maitiro

Yakakosha Insights yeProjekti

  • Tsvaga shanduko yekuchinja uye ongorora njodzi kune zviwanikwa zvekufungidzira uye nzira dzekuyedza
  • Shongedza timu yako neruzivo rwunodiwa kuita mapurojekiti akabudirira

Yakabatanidzwa Analytics Asset Management Dashboard

  • Maonero epakati pezvinhu zvako zveanalytics, zvichikupa kutonga kwakazara uye kuoneka. 
  • Gara wakarongeka, tarisa mashandiro, uye ita sarudzo dzine ruzivo usingaite

Ngatibatsirei kurerutsa yako Analytics Asset Management Maitiro.

Ngatibatsirei kurerutsa yako Analytics Asset Management Maitiro.