Sainzi yedata chishandiso chikuru kuva nacho paunenge uchimhanyisa bhizinesi.
Nekudaro, analytics inongobatsira kana ichityaira maitiro. Izvi zvinogona kuve chero chinhu kubva mukukura kwekambani, zvigadzirwa zviri nani, kana kuwedzera mari.
Kushandisa analytics kuita sarudzo mubhizinesi rako inozivikanwa se data-inotungamirwa kuita sarudzo. Izvi zvinosanganisira kuunganidza data, kutora mapatani uye chokwadi, uye kuita inferences.
Izvo zvinonyanya kufarirwa ikozvino kuisa nguva uye zviwanikwa kuita yakawanda yekambani yako sarudzo inotungamirwa nedata.
Pasinei neizvi, ongororo dzinoratidza izvozvo ura kunzwa zvichiri zvinhu mukuita sarudzo.
Chinhu chikuru pane izvi kushaikwa kwehurongwa hwakakodzera hwekuita sarudzo musangano.
Ichi chinyorwa chichasuma iyo BADIR chimiro, uye mashandisiro aungaite kuti ugadzire zvinogoneka, zvinofambiswa nedata. ruzivo rwebhizinesi rako.
BADIR Data kune Sarudzo chimiro
The BADIR framework inonyatso inoshanda-data-to-decision framework yakagadzirirwa kugadzirisa matambudziko ebhizinesi.
Zviri nyore kugadzirisa uye zvinoshanda kune chero indasitiri. Inovavarira kusanganisa sainzi yedata uye sainzi yesarudzo pamwechete kuita imwe nzira iri nyore-kutevera.
Aryng, kambani inozivikanwa yesainzi yekubvunzurudza, yekudzidzisa uye yekupa mazano yakagadzira iyi data-kune-sarudzo sarudzo.
Nhasi, makambani akasiyana Fortune 500 ehurongwa hwavo hwekushandura dhijitari vakatora BADIR.
Zvikamu zvakakosha zveData-ku-zvisarudzo Framework
- Ipa zvinogoneka zvinofambiswa nedata
- Gadzira chirongwa chekuongorora chinotungamirirwa nekufungidzira
- Inofambisa kutsanangurwa kwedata kuita dat
- Maonero anobva kumaitiro ekuzivikanwa kwepateni mu Machine Learning uye nhamba
- Ipa mazano anoshanda kune vanobatana
Matanho mashanu muData-ku-Sarudzo Framework
BADIR data-to-decisions framework inosanganisira matanho mashanu anofanira kuteverwa muhurongwa.
Bhizinesi Mubvunzo
Tisati taita chero rudzi rwekubvisa data kana kuongorora, tinofanira kutanga tanzwisisa mamiriro edambudziko ratiri kuedza kugadzirisa. Izvi zvichabatsira kuderedza kuwanda kwekudzokorora kunodiwa pasi pemutsara.
Izvi zvinosanganisira kubvunza mibvunzo yakarurama. Hurongwa hunotikurudzira kubvunza mibvunzo mitanhatu inokosha (ndiani, chii, kupi, rini, sei, uye sei).
Somuenzaniso, tinofanira kuva nechokwadi chokuti tinonzwisisa chisarudzo chatinofanira kuita.
Chisarudzo ichi ndechekukurumidza here?
Isu tinofanirwa kuziva patinotarisirwa kuuya nekurudziro yekupedzisira.
Chekupedzisira, tinofanira kuziva kuti vatsigiri vedu ndivanaani.
Iyo data inofanirwa kugovaniswa nechikwata chekushambadzira pamwe nechikwata chezvirongwa?
Vangani vanobatana vanofanirwa kuziva mhedzisiro yeongororo yedu?
Muchokwadi, tinoedza kushandura zvakakosha zvinobvunza kuita mibvunzo chaiyo. Semuenzaniso, iwe unogona kuve neinotevera data chikumbiro: "mutengi data nenyika, chigadzirwa, uye chimiro".
Chikumbiro chiri nani uye chinobatsira chinofanira kutaridzika seizvi: "Ndezvipi zvikonzero zvatiri kurasikirwa nevatengi mushure mekutanga? Ndezvipi zvingaitwa nedhipatimendi rekutengesa nekutengesa kugadzirisa kurasikirwa uku? "
Analysis Plan
Mushure mekusarudza pamubvunzo webhizinesi rekongiri, nhanho yedu inotevera ndeyekugadzira chirongwa chekuongorora.
Tinofanira kugadzira zvinangwa zveSMART. SMART is acronym inomirira Specific, Measurable, Achievable, Relevant, and Time Bound.
Zvadaro, tinofanira kuumba pfungwa dzedu. Izvi zvirevo zvatinovavarira kuratidza kana kuramba tichishandisa data redu. Pamwe chete nemafungiro aya, tinofanira kumisa nzira dzinodiwa kuratidza imwe neimwe.
Isu tinofanirwawo kutarisa mune nzira inodiwa panguva yekuongorora data. Common methodology zvinosanganisira:
-
Aggregate
-
Correlation
-
Trend
-
Kufungidzira
Mushure mekufunga nezve nzira, isu tinofanirwawo kusarudza pane iyo data yakatarwa.
Tichashandisa data kubva mugore rapfuura kana data-yenguva yese?
Tichange tichinyanya kushandisa data rezvemari kana data rekushambadzira?
Iyi mibvunzo yakakosha nekuti izvi zvinozoita kuti kuunganidza data kuve nyore gare gare.
Mhedziso yekupedzisira yedanho iri chirongwa cheprojekiti. Izvi zvinosanganisira zviwanikwa zvese zvinodiwa pakuita ongororo iyi pamwe chete nenguva yedanho rega rega mukuita. Urongwa hwepurojekiti hunotsanangurawo kuti vatori vechikamu ndivanaani pamwe chete nemabasa akasiyana mukati mechikwata.
Semuyenzaniso, ngatitii isu tine fungidziro inotevera: “Kambani yedu iri kurasikirwa nevatengi nekuda kwemushandirapamwe usina kubudirira wekushambadzira mukota yapfuura”.
Kuratidza kana kuramba ongororo iyi, tichafanirwa kudhonza data rekushambadzira kubva gore rapfuura.
Tinogona kushandisa nzira yekubatanidza kuona kana metric yakaita seCTR yakabatana kana kuti inogona kufanotaura huwandu hwevatengi pakota yega yega.
Data Collection
Kuunganidzwa kwedata ikozvino kwave nyore sezvo taigona kutsanangura iyo data yakatarwa panguva yedu Analysis Plan danho. Izvi zvinodzivirira data risingakoshi kubva pakutorwa.
Izvi zvakanyanya kukosha kana tiri kubata nehuwandu hwakakosha hwedata sezvo zvichizochengetedza nguva pakuita nzira yatakasarudzwa.
Nhanho yekuunganidza data inosanganisirawo kucheneswa kwedata uye kusimbiswa. Kucheneswa kwedata kunoreva kushandura data kuti ishandiswe.
Isu tinofanirwa kuita ongororo yedata kuti tive nechokwadi chekuti data yatinayo ndeyechokwadi.
Wana Manzwisisiro
Nhanho yedu inotevera inosanganisira kutora chaiko kweruzivo kubva kune data redu.
Mune ino nhanho, isu tinoongorora mapatani mune yedu data.
Semuyenzaniso, mukuongorora kuwirirana tinogona kutanga nekuongorora kusinga shanduke kunotarisa kugoverwa kwezviyero zvakakosha. Kana zvichibvira, isu tinogona zvakare kuona kana paine musiyano pakati pebvunzo nehuwandu hwekutonga.
Tichishandisa maitiro atinoisa mudanho rechipiri, tinoedzawo kuratidza nekupikisa mafungiro edu.
Chekupedzisira, kubuda kwedanho iri kunofanira kunge kuri kwatakawana. Tinofanira kuratidza zvatinowana maererano ne quantified impact.
Semuenzaniso, unogona kutaura nezve dhora rekudonha kweimwe muzana yekudonha kuti ubatanidze vako vanobatana navo.
Iwe unogona kutaura kuti kudonha kwezana muzana mukutora kwevatengi kunogona kukonzera kudonha kwemari yemadhora miriyoni.
Nyaya
Kurudziro ndiyo nhanho yakakosha muBADIR framework. Mazano aya anofanira kuitwa.
Ndivo chikonzero chikuru chatakafamba nenhanho imwe neimwe muhurongwa uhu.
Mudanho rekupedzisira iri, tinoda kuwana zvinhu zvakawanda. Kutanga, isu tinofanirwa kushamwaridzana nevateereri. Izvi zvinoreva kuti iwe unofanirwa kupa mazano mapfupi uye ane njere.
Kurudziro inovimbika uye ine mutsindo inozotungamira kwauri kuti uonekwe semubatsiri webhizinesi anoshanda.
Chekupedzisira, kurudziro yako inofanira kufambisa vateereri vako kune chiito.
Kana iwe uchizove uri mutariri wekuratidzira mazano, zvakakosha kuvaka dhizaini inotsvedza iyo ine zvese zvaunowana.
Kugadzirwa kwemasiraidhi deki ndeyekudzokorora, kutanga nezvese zvawawana, uye zvishoma nezvishoma kufambisa kuyerera kwedeki.
Yekupedzisira masiraidhi deki inofanirwa kuve nepfupiso yevakuru. Tinogona kuwedzera chero rumwe ruzivo mune apendix.
mhedziso
Kutora dhata-kune-sarudzo chimiro inzira huru yekuita shuwa kuti iwe unokwanisa kuwana zvinobatika ruzivo kubva kubhizinesi rako data.
Kubatanidza sainzi yedata nesainzi yesarudzo inobvumira nhaurirano pakati pevose vanobatanidzwa. Nhanho imwe neimwe muBADIR data-to-decisions framework inotungamira kune inobudirira yekupedzisira kuburitsa: zvinogoneka kurudziro.
Tizivise kuti bhizinesi rako kana timu inogona sei kubatsirwa nemhando iyi yegadziriro!
Leave a Reply