Mumamiriro ezvinhu emazuva ano ari kukurumidza kusimukira ebhizinesi, kushandisa data kwave kwakakosha kumasangano ari kuedza kuwana mukana wekukwikwidza. Bhizinesi analytics, iyo yakarongeka yekuongorora dhata kuti iwane zvinogoneka nzwisiso, yabuda segwaro repakona rekuita sarudzo yeindasitiri. Kubva pakunatsiridza kushanda zvakanaka kusvika pakunzwisisa maitiro evatengi, mabhizinesi anoshandisa nzira dzakasiyana siyana dzekuongorora bhizinesi kuti abvise kukosha kubva kune yavo data. Kunzwisisa nzira dzakasiyana-siyana idzi kwakakosha pakufamba nemazvo kuomarara kwenzvimbo dzemazuva ano dzebhizinesi. Mugwaro rino rakazara, tinoongorora mhando dzakasiyana dzebhizinesi analytics, tichijekesa maitiro avo akasiyana, mashandisirwo, uye kukosha mukufambisa budiriro yesangano.
Basa rekuongorora bhizinesi rinopa mikana ine simba kune nyanzvi kuti dzibudirire munyika yanhasi inofambiswa nedata. Kutsvaga a bhizinesi analytics kosi inoshongedza vanhu vane hunyanzvi hwakakosha mukuongorora data, kuenzanisira kwenhamba, uye matekiniki ekuita sarudzo, vachiisa hwaro hwakasimba hwekubudirira mundima iyi. Nekuwana hunyanzvi muzvishandiso zvakaita sePython, R, uye SQL, vadzidzi vanodzidza kuburitsa zvinonzwisisika kubva kumaseti akaomarara, zvichivagonesa kutyaira zvine hungwaru bhizinesi sarudzo. Pamusoro pezvo, makosi anowanzo kusimbisa chaiyo-yepasirese nyaya zvidzidzo uye anoshanda mashandisirwo, achipa maoko-pane ruzivo rwakakosha pakufamba kwakasiyana indasitiri matambudziko. Pakupedzisira, kuisa mari mubhizinesi analytics kosi inovhura nzira yekuvandudza mubairo, kukura, uye maitiro ebasa.
Chii chinonzi bhizinesi analytics?
Bhizinesi analytics inosanganisira kuongorora zvine hungwaru kuti uburitse ruzivo rwakakosha runozivisa hurongwa hwekuita sarudzo mukati memasangano. Nekushandisa nzira dzakasiyana-siyana dzakadai sekuongorora kwenhamba, kufungidzira modhi, uye kucherwa kwedata, mabhizinesi anogona kufumura mapatani, maitiro, uye hukama hwekugadzirisa maitiro, kuwedzera mashandiro, uye kutyaira hunyanzvi. Bhizinesi analytics inoshandisa kuona kwedata, kudzidza muchina, uye hungwaru hwekugadzira mukushandura data rakasvibira kuita hungwaru hunogona kuita, zvichiita kuti vanobatana vaite sarudzo dzine ruzivo dzinotungamira kukura, kushanda nesimba, uye mukana wemakwikwi mumusika wanhasi une simba.
Kukosha kweBusiness Analytics
Bhizinesi analytics yakakosha kumasangano sezvo ichipa simba-inofambiswa nedata-kuita sarudzo, kuvandudza mashandiro, kukwikwidza, uye kurongeka kwehunyanzvi. Nekuongorora data, mabhizinesi anowana nzwisiso mumusika mafambiro, maitiro evatengi, uye mashandiro ekuita, zvichiita kuti vaone mikana, kudzikisira njodzi, uye kugadzirisa maitiro. Bhizinesi analytics inogonesa kucherechedzwa kweanobatika njere, zvichiita kuti masangano akwanise kugovera zviwanikwa nemazvo, kuwedzera kugutsikana kwevatengi, uye kutyaira hunyanzvi. Mumamiriro ebhizinesi anhasi ari kukurumidza kushanduka, kugona kushandisa simba redata kuburikidza neanalytics kwakakosha kuti ugare wakasimba, uchiteerera, uye uchikwikwidza, zvichiita kuti ive nheyo yebudiriro munguva yedhijitari.
Mhando dzeBusiness Analytics
Inotsanangurwa Analytics: Tsanangudzo inotsanangura inotarisa pakunzwisisa uye kupfupisa data renhoroondo kuti uwane ruzivo muzviitiko zvakapfuura, maitiro, uye kuita. Zvinosanganisira kuronga uye kuunganidza data kuti ipe mufananidzo wakajeka wezvakaitika mukati mesangano. Matekiniki akadai sekuona data, zviverengero zvepfupiso, uye dashboards anowanzo shandiswa mutsananguro yetsanangudzo kupa ruzivo mune ine revo uye nyore kunzwisisa. Descriptive analytics inopindura mibvunzo yakaita sekuti "Chii chaitika?" uye inopa kunzwisisa kwekutanga kwemaitiro esangano apfuura.
Predictive Analytics: Predictive analytics inosanganisira kushandisa nhoroondo data uye statistical algorithms kufanotaura mhedzisiro yeramangwana kana mafambiro. Iyo inodarika inotsanangura analytics nekuona mapatani uye hukama mukati medata kuita fungidziro nezvezviitiko zvenguva yemberi. Predictive analytics inoshandisa matekiniki akadai seyekudzokorodza ongororo, fungidziro yenguva, uye kudzidza muchina kuburitsa mapatani akavanzika uye kufanotaura mamiriro emangwana. Masangano anowedzera kufungidzira analytics kutarisira maitiro evatengi, kufanotaura kudiwa, kuderedza njodzi, uye kugadzirisa maitiro ekuita sarudzo.
Cognitive Analytics: Cognitive analytics inosanganisa matekinoroji epamberi senge artificial intelligence (AI), kudzidza muchina, kugadzirwa kwemutauro wechisikigo (NLP), uye kudzidza kwakadzama kuongorora zvisina kurongeka data sosi sezvinyorwa, mifananidzo, uye mavhidhiyo. Kusiyana nemaitiro echinyakare analytics nzira dzinonyanya kutarisisa pane yakarongwa data, yekuziva analytics inogonesa masangano kuti atore ruzivo kubva kuhuwandu hwakawanda hwe data isina kurongeka. Zvinosanganisira kunzwisisa mutauro wevanhu, mamiriro, uye semantics kubvisa ruzivo rwakakosha uye kuita sarudzo dzine ruzivo. Cognitive analytics inopa simba zvikumbiro zvakaita sekuongorora manzwiro, kucherechedzwa kwemifananidzo, uye kurudziro yemunhu, inosimudzira kugona kwemasangano kunzwisisa uye kupindura kune yakaoma data seti.
Prescriptive Analytics: Prescriptive analytics inodarika kufanotaura mhedzisiro yeramangwana nekukurudzira zviito kana sarudzo kuti ugone kuita. Zvinosanganisira kusimudzira optimization maitiro, simulation modhi, uye ongororo yesarudzo kuti vanyore yakanakisa nzira yechiito inoenderana nezvipingaidzo uye zvinangwa zvakasiyana. Prescriptive analytics inotarisa akawanda mascenario uye inopa mazano ekuita kuti uwane mhedzisiro inodiwa uku uchiwedzera mabhenefiti kana kuderedza njodzi. Masangano anoshandisa analytics yekunatsiridza kugovera zviwanikwa, kunatsiridza kushanda zvakanaka, uye kuita sarudzo dzehunyanzvi munzvimbo dzakaoma uye dzisina chokwadi.
Diagnostic Analytics: Diagnostic analytics inotarisa pakuongorora dhata kuti unzwisise kuti sei zvimwe zviitiko zvakaitika uye kuti ndezvipi zvakakonzera mazviri. Zvinosanganisira kuona midzi zvikonzero, kuwirirana, uye mapatani mukati medata kuburitsa manzwisisiro mukuita kwakapfuura kana zviitiko. Diagnostic analytics inobatsira masangano kuona kusashanda, anomalies, kana nzvimbo dzekuvandudza nekuongorora nhoroondo data zvakadzama. Matekinoroji akadai semudzi wekuongorora chikonzero, ongororo yekubatanidza, uye ongororo yekusiyana inowanzoshandiswa mukuongorora ongororo yekuona zvinokonzeresa zvinokonzeresa mhedzisiro. Masangano anogona kutora matanho ekugadzirisa kuvandudza mashandiro emangwana uye maitiro ekuita sarudzo nekunzwisisa zvikonzero zviri shure kwezviitiko zvekare.
Mhando yega yega yebhizinesi analytics inoshandisa chinangwa chakananga mukuburitsa ruzivo kubva kune data kuzivisa kuita sarudzo. Kubva pakunzwisisa mashandiro ekare kusvika pakufanotaura mhedzisiro yeramangwana uye kuongorora data risina kurongeka kusvika pakutsanangura zviito zvakakwana, masangano anoshandisa nzira idzi dzekuongorora kuti awane mukana wekukwikwidza uye kuzadzisa zvinangwa zvine hungwaru.
mhedziso
Kunzwisisa marudzi akasiyana-siyana ekuongorora bhizinesi kwakakosha pakufambisa kuomarara kwenzvimbo dzemazuva ano dzebhizinesi. Kubva pakutsanangura kusvika kurondedzero yekuongorora, nzira yega yega inopa maonero akasiyana akakosha pakuita sarudzo ine ruzivo uye kuronga zvine hungwaru. Kutsvaga a bhizinesi analytics kosi inoshongedza vanhu nehunyanzvi uye neruzivo rwunodiwa kuti vabudirire mundima iyi. Nekugona maturusi, matekiniki, uye nzira, vadzidzi havangowedzere kugona kwavo kwekuongorora chete asi vanozvigadzirira ivo pachavo kuwana mibairo yemabasa mumaindasitiri anofambiswa nedata. Kuburikidza nekuenderera mberi nekudzidza uye kushandisa, vanoshuvira nyanzvi vanogona kuwedzera bhizinesi analytics kutyaira hunyanzvi, kugona, uye kubudirira kwesangano munyika iri kuwedzera data-centric.
