10 Sarudzo-Kuita Unyanzvi Entrepreneurs Vanofanira MASTER

Wakambozvibvunza here, zvingani zvisarudzo zvatinoziva zvatinoita zuva rega rega?

Vanosvika zviuru makumi matatu nezvishanu.

Nhamba yacho ingaratidzika kuva yakawandisa kumunhu mukuru ari pakati nepakati. Nekudaro, chikamu chikuru chayo chidiki kana chinopera pasina mhedzisiro. Zvimwe zvacho ndezvekugara. Asi vashoma vavo vane hanya zvikuru. 

Kusarudza zvinhu kunoitwa neruzivo nemanzwiro. Uye hapana mutemo mumwe chete unoshanda pane izvi. Munhu wese ane mafungiro nemaonero akasiyana.

Asi hongu, chinhu chimwe chakajairika - mhedzisiro yakanaka. Uye izvozvo zvinogoneka nokushandisa zvakanaka nguva yakaganhurirwa, mari, uye zvinhu. 

Varidzi vemabhizinesi vanorarama nepfungwa dzekusarudza. Asi havasi vese vane hunyanzvi mukuita sarudzo. Zvinganzwika sezvisina kunaka, asi 98% yemabhizinesi anopedzisira asina zvibereko nemaitiro avo ekuita sarudzo.

Uye izvo zvinonyanyozivikanwa zvinhu zvinosanganisira nguva yekupedzisira kudzvinyirirwa, kunzwa mudumbu, kufungidzira, kusarongeka kwekubata data, uye imwe nzira yekufungidzira. 

Kana iwe ukaona nzira dzako dzekuronga dzisingabatsiri uye dzichikunetesa, ingozorora uye kuita senge rwendo pane kwekuenda.

Kuti uwane zvakanyanya kubva parwendo rwako rwebhizimusi, ini ndave kukufambisa iwe kuburikidza nehunyanzvi gumi hwekuita sarudzo.

Idzi nzira dzakaedzwa-nguva dzauri kuda kutevera dzinokubatsira kutora njodzi dzakaverengerwa uye uve murongi akabudirira. 

1. Kuronga Kwemari (Cost-Benefit Analysis)

Ungaziva sei kana wakakodzera mune zvemari usati waita chirongwa?

Ehe, iwe unoda chirongwa chebhajeti chiripo. 

Kuti uverenge kuzvidavirira uye mari yeramangwana, kuongororwa kwemutengo-bhenefiti ihwo hunyanzvi hunokosha hwekuita sarudzo. 

Yakanga iri AJEJ Dupuit (injiniya wekuFrance uye nyanzvi yezvehupfumi) akatanga kuronga iyi nzira yekuronga mari muna 1844. 

Uchishandisa hunyanzvi hwemari, unogona kuongorora mashandisirwo, kuenzanisa, kukurira kusagadzikana, uye kuyera mari ingaunze bhizinesi rako. Kunze kwezvo, iyi nzira inokupa iwe nzwisiso yemukana mutengo. 

Saka chii chinonzi "mukana mutengo"? 

Ndiyo mikana yakarasika kana imwe nzira yawaizosangana nayo paunenge uchiita sarudzo. 

Semuenzaniso, unogona kusarudza mamwe mabasa pane mamwe. Uye izvi zvinogona kukupa tarisiro yenzvimbo dziya dzisina kubatwa dzinogona kupa zvirinani mabhenefiti emari.  

Kuti uwane zvakanyanya kubva pakuongorora kwako mutengo-benefit, MS Excel isarudzo yakanaka yekugadzira template yako.

Uyezve, unogona kushandisa software yekugadzirisa mapurojekiti yakadai seprojectmanager.com iyo inopa maficha ebhizinesi anokubvumidza kutarisa nekuronga bhajeti rako.

2. Kugadzirisa Ruzivo Kuwedzeredza (Affinity Diagrams)

Kuwedzera kwezvese kwakashata uye kuunganidzwa kwedata hakuna zvakadaro. 

Nezvekuita sarudzo, huwandu uye kukosha zvinhu zviviri zvakakosha izvo zvingakanganisa maitiro ako ekuronga. Pfungwa yokuti vanhu vane mano mashoma okunzwisisa. 

Uye kusakwanisa kunzwisisa hombe yemashoko data kunogona kungotungamira kune yakashata sarudzo mhando. 

Kuti utarisire zvinobudirira kuwandisa kwemashoko, dhayagiramu yeAffinity ndeimwe yemhinduro. Ihunyanzvi hwekare hwekuita sarudzo hunogona kukubatsira kudzora mashandisirwo edata.

Nyanzvi yezvevanhu yekuJapan Jiro Kawakita ndiye akatanga kupa nzira iyi muma1960. Inozivikanwawo senzira yeKJ, inobatsira kuronga kukanganiswa kwedata uye kuunza kujeka mukuita sarudzo.

Affinity, pachayo, inoreva mwero wepedyo. Uye ruzivo rwakaunganidzwa rwakaiswa mumapoka maererano nekukosha kwavo. 

Izvi zvinobvumirawo vanhu kuti vagadzirise maitiro avo ekufunga zvichibva pamafungiro ekare.

Saka unyanzvi uhwu hunoda chii chaizvo?

Chinyoreso, manotsi anonamira, uye nguva yakanaka yekufunga nezvenyaya. Zvisinei, kana usingade peni nepepa, unogona kushandisa maturusi ekuvaka template.

Semuenzaniso, dhayagiramu ye "super header affinity" yevashandi yakagadzirwa uchishandisa Lucid.app yakafanana nenzira yechinyakare.

Affinity diagrams ndeyekuronga zvakanyanya kuomarara uye ruzivo rwakakura rwunoenderana neimwe nzira kana imwe. 

Maitiro acho haana kukwana pasina kuvaka kubvumirana pakati pechikwata. 

Pfungwa huru ndeyekuunganidza data rega rega pasi pemisoro yakaparadzana uye zvinoenderana. Nekudaro, yako yekuita sarudzo neiyo Affinity dhayagiramu inogona zvakare kusanganisira dzimwe shanduko kune dhizaini. 

Semuenzaniso, dhayagiramu inotevera yeAffinity yekupinda kwevatengi inoongorora rwendo kubva pakutanga kusvika pakuchengetedza kuyerera kwakarongeka (panzvimbo pekusarudza pasi pemisoro).

3. Kuongorora Zvakawanda Zvakabuda (Muti Wesarudzo)

Pane nguva dzose kusava nechokwadi kunovharidzira chirongwa chako chekuita. Asi kana iwe ukaona zvingangoitika akawanda mhedzisiro, iwe unofanirwa kugadzira akati wandei makosi echiito.

Kuti uite kudaro, hunyanzvi hwako mukugadzira chimiro chinoshanda chinouya zvinobatsira. Uye chimiro ichocho muti wesarudzo. Inokubvumira kuyera mukana wehuwandu hwezvinogona kune imwe nhanho yekubudirira.

Miti ine mhinduro dzakawanda - pfungwa yakatanga kuratidzwa muna 1986 naJohn Ross Quinlan.

Muti wesarudzo unokubatsira kuti unzwisise mibairo uye njodzi dzesarudzo dzese dzaungaite. Muti-wakafanana nemuenzaniso une node nhatu imwe neimwe inomiririra makosi echiito.

• Yekutanga ndiyo Root node inotarisa pane yako huru sarudzo.
• Kutevera node yekutanga, kune matavi (mitsetse yemiseve) inomiririra nzira dzakawanda. Vanoronga sarudzo dzaungango sarudza kubva.
• Uyezve, dzinowedzera kusvika kumanodhi emashizha anomiririra akati wandei mhedzisiro yesarudzo yega yega.

Kuti uite sarudzo yako ive nyore, unogona kushandisa chishandiso cheSmartDraw pamwe nemabasa acho sezvakaratidzwa pazasi:

Muti wesarudzo unogona kukubatsira kana:

• Iwe unonzwisisa iyo modhi ine yakakwira mukana wezvaunowana.
• Iwe unonzwisisa modhi asi hauna chokwadi nezve mhedzisiro yako.
• Iwe unonzwisisa modhi asi haugone kuona mhedzisiro yako.
• Iwe haunzwisisi modhi asi unogona kuve neshuwa nezvezvaunowana.
• Iwe haunzwisise modhi uye haugone kuona mhedzisiro yako.

4. Sarudzo Uchishandisa Mental Shortcut (Heuristic Method)

Sarudzo yako ingave yakaita sei kana iyo ikauya semutongo wekukurumidza? 

Kazhinji, iyo yekutanga yeruzivo yekuregeredza iyo yakadzama chikamu chayo inotyaira sarudzo dzedu dzekukurumidza. Nokuita kudaro, tinochengetedza nguva kana kungozviisa panjodzi. 

Iri rudzi rune simba rwekuita sarudzo inowanzonzi nzira yeHeuristic. 

Kare muma70s uye 80s, nyanzvi mbiri dzepfungwa dzinozivikanwa, Daniel Kahneman naAmos Tversky, vakaita tsvakiridzo pamaitiro esarudzo dzevanhu. Chidzidzo chacho chinoratidza nzira iyo munhu anotora zvichienderana neruzivo rwake rwega kugadzirisa dambudziko. 

Kupfuurirazve, muna 2008, tsvakiridzo yakaitwa naShah naOppenheimer yakawedzera huremu kunzira yeheuristic. Vakataura kuti hunyanzvi hwekuita sarudzo nekukurumidza hunobatsira kudzikisira basa nekutarisa pane mamwe macues uye kuongorora mashoma asi akakodzera sarudzo. 

Semuenzaniso, ungaziva sei kana uchivimba nemumwe munhu kana kuti ndeipi nzira yekufamba nayo. 

Mumamiriro ezvinhu akadaro, hatidi chaizvo kupedza nguva tichiongorora ruzivo rwese rwakatenderedza munhu iyeye kana nzvimbo. Izvo zvese zvinoenderana nezviitiko zvako, intuition, uye mafungiro ekare. 

Mune chimwe chiitiko, heuristics inoisa pateni nenzira yekuti vatengi vanonzwa kuti zvinhu zvemutengo wepamusoro zvine mhando iri nani pane zvakachipa. 

Asi mune zvimwe zviitiko zvakawanda, heuristics inogona kugadzira sarudzo dzakarerekera. Nekuda kwekuti kumwe kutonga kwakafarira zviitiko zvako hazvireve kuti zvaizoshanda zvakare. Izvi zvaizovhura mukana wekukanganisa. 

Naizvozvo, iwe unofanirwa kushandisa iyo heuristics nzira mumamiriro chaiwo anodiwa chete.

5. Mharidzo yekuona (Influence Diagram) 

Data rinogona kuratidzwa zviri nani muchimiro chekuona zvinoita kuti rinzwisiswe uye rive nyore kuwana ruzivo. Kana data riri muchimiro charo chekufungidzira, unogona kubatanidza zvinhu zvakasiyana-siyana uye kutevera kubatana pakati pazvo pasina dambudziko.

Dhayagiramu yekukurudzira ndeimwe yezvishandiso zvekuona zvakanakisisa zvakakodzera nzvimbo yayo mukuita sarudzo yako. Izwi iri rakatanga kushandiswa muna 1973 nevaongorori Dr. James Matheson naProf. Ronald Howard.

Kushanda nedhiyagiramu yeKurudziro, munhu wese ari muchikwata anofanira kuziva nezvedanho rega rega raachange achishanda pariri. Paunoisa maitiro ega ega mudhayagiramu, unoona mufananidzo wakajeka wekusiyana kwavo kubatana nemhedzisiro pane imwe neimwe nhanho mukuita. 

Sekuyerera kwechati, iyo Influence dhizaini inoshandisa akasiyana notation uye kudhonza uye kudonhedza maficha izvo zvinoita kuti zvive nyore kuronga iyo data:

• Rectangle: Sarudzo
• Ovhari: Mukana/ Kusava nechokwadi
• Kaviri oval: Deterministic
• Hexagon: Kukosha kana Chinangwa
• Rounded rectangle: Basa
• Mitsetse Yakasimba/ Dotted: Kufurira

Zvino, zvakafanana/siyana sei Kufurira dhiyagiramu uye Sarudzo muti zvakamira sei?

Kunyangwe ese ari maviri akamiririrwa nedhiyagiramu inoyerera, pane mutsauko wakajeka. 

Muti wesarudzo unopa ruzivo rwakakwana uye rwemamiriro ezvinhu ane sarudzo dzakabatana uye mhedzisiro. Asi, dhayagiramu yepesvedzero inonyanya kutarisa pamufananidzo wezvinopihwa, sarudzo, uye zvinangwa.

Iyo pesvedzero dhizaini inozviratidza sechishandiso chinoshanda chekupfupikisa nzvimbo dzakakosha. 

Ziva kuti nzira dzekuona senge idzi hadzifanirwe kushandiswa pamberi pedzimwe nzira dzakaomarara dzesarudzo semuti wesarudzo. Maitiro ekuona aripo ekudzikisa kusvibiswa kwedata kuita matanho anogoneka uye kupa mufananidzo wakajeka wezvinangwa.

6. Kuongorora Nzira Dzakaoma uye Dzakawanda (Multiple Criteria Decision Analysis)

Zvinetso zvebhizinesi kazhinji hazvitarisirwe uye zvakaoma. Asi kana vachiwedzera kuvhiringika, ndipo pavanowedzera kugadzira nzvimbo yedzimwe nzira. 

Semutungamiri wechikwata, muzvinabhizimusi anofanirwa kugamuchira maonero emunhu wese uye kugadzira akawanda ekuita sarudzo. 

Multiple Criteria Decision Analysis (MCDA) imwe yenzira idzo dzinoshanda dzinounza pfungwa dzakaungana dzevanhu. Nzira yacho inovabvumira kufunga, kubvunza, kutevedzera, kusarudza, kufunga zvakare, uye pakupedzisira kusarudza. 

Kubva pamakesi ekushandiswa kwebhizinesi kuenda kuhurongwa hwehurumende, uye kunyangwe maapplication emumba, MCDA ine basa rakakosha mukutsvaga sarudzo dzakafanana dzemhinduro. 

Tichitaura nezvemaitiro ekuita sarudzo, Decerns MCDA chishandiso chinoshanda chinogona kugadzirisa mibvunzo yese sezvataurwa, yemunhu neyanyanzvi.

Paiva pakati pemakore ekuma1960 apo Prof. Bernard Roy nevamwe vake vakagadzira nzira yeMCDA yekugadzira mazano kune chero dambudziko rebhizimisi. 

Kubva ipapo, MCDA yave iri chishandiso chinoshanda chekutsigira sarudzo pakukurukurirana kweboka kana musangano wekufunga. Inogona kubatsira pakusarudza mapurojekiti matsva/kudyara mari, kutsvaga vanhu vanonyorera mabasa, kunyorera mabhezari, uye mabasa mazhinji ebhizinesi.

Kunze kwebhizimisi, rinogona kuponesa upenyu.

Munguva pfupi yapfuura muNew Zealand, boka renyanzvi nevashandi vekuchengeta varwere vakagadzira chishandiso cheMCDA chekuisa pamberi varwere vane Covid-19. Chishandiso ichi chakavabatsira kuona zvinhu zvakasiyana-siyana zvehutano hwevarwere uye kuisa pamberi avo vaida kupinda muICU nekukurumidza.

7. Kukoshesa uye Kudyidzana (Analytic Hierarchy Process)

Ngatitii, unoda kutenga imwe yefoni dzawakasarudza. Imwe inokwana zviri nyore pasi pebhajeti rako uye inogona kugutsa zvese zvaunoda. Asi imwe foni ine zvinhu zvakawanda zvine mutengo wepamusoro.

Uchasarudza sei? 

Iwe unogona kunyora pasi zvakanakira nezvayakaipira kana zvinoenderana nekwako ura. Unogona kusvika kune shamwari dzako dze tech-savvy. 

Asi nezve kukoshesa mabasa ane masiteki akakwira, Analytic Hierarchy process (AHP) ndiyo yatinoda. Kuti uwane zvibodzwa zvebhizinesi rako, kukoshesa mapurojekiti mukurongeka kunodiwa kuitira kuti mashandiro arege kukanganisa. 

Kune vatungamiriri vebhizinesi, zvisinei, kuongorora mapurojekiti akaomarara uchishandisa manyorero ekuongorora nzira kunogona kuve kunonetsa uye kunokanganisa kukanganisa.

Saka, vanoda chishandiso chakatsaurirwa cheAHP chinoshandisa masvomhu ari pasi anodiwa mukuenzanisa vaviri, kuvhota pamwe chete, kuongorora kugadzikana, nezvimwe zvakawanda.

Maererano nemushumo, inenge 45% yemabhiriji muUS aida kugadziriswa.

Zvisinei, nemhaka yokusakwana kwemari yokugadziridza, zvakanga zvisingabviri kugadzirisa zambuko rimwe nerimwe. Naizvozvo, nyanzvi dzakashandisa nzira yeAHP kugadzira hurongwa hwekuyeresa hunogona kuderedza kurerekera kwesarudzo uye kubatsira kuona mabhiriji ari panjodzi anoda kutariswa nekukurumidza. 

Yaiva muma1970 apo Prof. Thomas L. Saaty akagadzira nzira yekusarudza iyo inogona kushanda sechigadziro chekugadzirisa zvisarudzo zvakaoma. 

Kare ikako, matambudziko aiyerwa zvichibva pamusangano wepfungwa uye zvinoonekwa zvaidiwa. 

Nhasi, kune akawanda maapplication anosanganisira ongororo yemasvomhu uye yepfungwa. 

Uye kune vatungamiriri vebhizinesi, AHP ndeimwe yeakanakisa maturusi ekukora kana kuisa akasiyana sarudzo anonyatsoenderana nedambudziko ravo.

8. Behavioral Planning yeVatengi/ Musika (Discrete Choice Analysis)

Ungasvika sei pakuziva izvo vatengi vako vari kuzokoshesa zvakanyanya nezvechigadzirwa chako?

Nekuda kwemusika unokwikwidza uye wakaremerwa, ibasa rekukwira kumabhizinesi kuona maficha enzvimbo yevatengi vavo. 

Nyaya yemaitiro evatengi inyaya inonetsa. Zvisinei, vazhinji vemabhizinesi havana kunzwisisa kwakakwana uye vanobhejera nemari yakawanda mumakwikwi.

Vanofanira chaizvo kuchinja nzira yavanoita nayo zvisarudzo.

Uye maererano nemaitiro anobudirira kuronga. Discrete Choice Analysis inogona kukubatsira kuita sarudzo dzakanangwa.

Mazhinji ekutsvagisa mabasa aMoshe Ben-Akiva naSteven R. Lerman akaunza nzira kumashure mu70s uye 80s. Nekuda kwekubatsira kwavo, nhasi tine software inogona kurerutsa maitiro ekuita sarudzo seStata neSAS/MDC.

Zvino ngationei muenzaniso.

Iti une kambani yemotokari. Vakwikwidzi vako vachangobva kutanga kupa anoyevedza ekutengesa mapakeji. Nekudaro, kutengesa kwako kwave kuderera. 

Kungofanana nezvinoitwa nemakambani mazhinji emotokari, iwe unofarira kuita sarudzo uchishandisa nzira yechinyakare. Pano, iwe unosuma vatengi vako kune mamwe anogona kutengesa madhiri uye wovabvunza kuti vangangove vakadii kuzvitenga.

Asi pano pane dambudziko!

Iwe unofanirwa kungobvunza nezve nhamba shoma yezvibvumirano zvekutengesa usati wapererwa nemazano uye bhajeti. Saka panofanira kuva neimwe nzira iri nani. 

Zvino funga nezve maficha anogona kufambisa sarudzo yavo. Chinokosha apa ndechekufananidza mazana ezvingangotengeswa zvinotengeswa kubva kune zvakawanda zvikamu zvaro. 

Funga nezvechipo: Model 3 ye $17,000 ine 80% yekutengesa-in kukosha. 30% kubhadhara nechikwereti chemwedzi gumi nemasere, uye 18% mubereko. 

Iyo software yauri kushanda pairi inosanganisa izvi zvinopihwa uye inogadzira zvakasiyana zvinopihwa padivi padivi muongororo nevanogona kuve vatengi vanokumbirwa kusarudza chero inonyanya kuvafadza.

Ipapo seti nyowani yezvipo zvakasiyana zvachose inoratidzwa uye vatengi zvakare vanokumbirwa kuti vazviongorore uye vatore zvinoenderana. 

Mumwe nemumwe anopindura ongororo anokumbirwa kuita sarudzo kagumi kusvika gumi nemashanu, achiongorora 10-15 zvakangogadzirwa zvinopihwa. 

Paunenge uine masampuli akakura akakwana, software inounganidza ruzivo pazviuru zvesarudzo uye inoyera zvaunofarira. 

Uye ipapo, inogadzira zvibodzwa zvaunofarira kune yega yega chigadzirwa chimiro uko mamakisi akasiyana kune mumwe nemumwe mutengi. 

Iyi data inogona kushandiswa kuona iyo yakanyanya kusanganisa musanganiswa wezvimiro izvo zvinoiswa kune manhamba fomula uye inobvumira kuverenga zvaunofarira, migove, kana migove yevatengi vanosarudza chaiyo yekutengesa dhiri pane imwe. 

9. Kufunga Kwakakosha kana Kufunga Kwekugadzira (Mind Mapping)

Sei munhu angada dhizaini kufunga? 

Vanhu vanogona kunge vari vanhu vanofunga zvakanaka, asi havasi vazhinji vavo vari vabati vakanaka.  

Kazhinji, pavanenge vachifunga nezvechirongwa chitsva, nyanzvi dzinoshandisa nzira yakatsetseka yekunzwisisa migwagwa. Nekuda kweizvozvo, iyo pfungwa hairatidzi mune yakarongeka fashoni uye inogadzira nzvimbo yekusahadzika uye zvinokanganisa.

Wese muzvinabhizimusi, saka, anofanirwa kunzwisisa maitiro ekufunga. 

Kufunga kwekugadzira inzira isiri-mutsara iyo iwe yaunobata neakawanda fungidziro uye dzidziso zvichienderana nezvako zvazvino zviwanikwa uye mamiriro. 

Pfungwa iyi yakanga isingazivikanwe nevakawanda kusvika kuma1970 apo munyori weChirungu Tony Buzan akatanga nzira yeMind Mapping.

Inzira yekugadzira yekugadzira dhizaini ine mapazi yakafanana netsinga dzeuropi. Nhasi uno, kugadzira mifananidzo yepfungwa chishandiso chakakosha pakuronga kana kuunganidza ruzivo mubhizinesi, dzidzo, uye tsvakiridzo. Uye chimwe chezvishandiso zvinoshanda zvandinokurudzira pakufunga nezvekugadzira isoftware yedhiraini yepamhepo -EdrawMax.

Ngatitarisei muenzaniso. Mepu iri pano inoratidza kuongororwa kwekutengesa nezvikamu zvishanu zvakakosha - Inotungamira, Shanduko reshiyo, Avhareji yekutengesa, Nhamba yekutengeserana, uye Margin. Uyezve, ivo vanotambanudzira kune zvikamu zvinoendesa akati wandei matanho anogona kuitwa.

Iwe zvakare uchaona kuti chikamu chega chega chakaiswa muhurongwa hwekupa pekutanga. Uye sezvaunoenderera mberi, iwe unogona kuenderera mberi nekugadzira matavi uye subbranches kune aya ma subcomponents kuitira ongororo yakanatswa.

10. Combination & Relationship Modelling (Linear Programming)

Ichokwadi kuti bhizinesi risangana nematambudziko akawanda kana rikawira pasi pemakwikwi niche: kubva pakurarama kusvika kune zvinoshanduka zvinodikanwa kudzikisa nguva yekutungamira yevatengi.

Chimwe chezvikonzero zvikuru kusashandiswa zvakanaka kwezvinhu zvishoma uye mazano.

Uye nzira yakanakisa yekuzadzisa izvi ndeyekushandisa musanganiswa unosarudza huwandu hwezvirongwa zvinogoneka zveizvo zviwanikwa nenzira yakarongeka. 

Kubatanidza izvi zviviri inyanzvi yemasvomhu iyo inogona kukubatsira kuwana mhinduro yakanaka kune chero mamiriro ezvinhu akazara.

Uye kana ndichitaura nezve musanganiswa, ndinoreva mutsara hurongwa. 

Sezvo mutsara hurongwa hunoshanda kugadzira hukama pakati pezvakasiyana, zvinova nyore kuita sarudzo dzakaverengerwa. 

Nekubatanidza iwo akanakisa mapoinzi, unogona kurongedza masevhisi ako, kubata njodzi uye otomatiki. 

Nemashoko akapfava, zvakaita sekutsvaga nzira ipfupi yekuenda kwauri kuenda uchityaira uine zvipingamupinyi zvishoma munzira yako. 

Semuenzaniso, basa rekudya rinopihwa kuendesa kumba kune kero 5 - A, B, C, D, uye E. Kuti vaone kuti kutumirwa kwekudya kuri kukurumidza, vanofanira kuchengeta nhoroondo yedaro nenguva. 

Zvakare, ivo vanofanirwawo kubata zvisina chokwadi mamiriro akaita semafuta mashoma, traffic inorema, kana kutendeuka kusingatarisirwe uye kuchengetedza bhizinesi risina kukuvara. 

Mumamiriro ezvinhu akadai, iwe unogona kuona pachako nzira yakanyanya kunaka yekudonhedza mapakeji ezvekudya pakero yega yega yakabhukirwa. 

Nekudaro, mumamiriro ezvinhu akaomarara senge mafekitari ekugadzira, nzvimbo dzekuvaka, nezvimwe… hazvigoneke kuti vezvemabhizinesi vatarise uye kuronga data vachishandisa yakajairwa komputa application. 

Saka, maturusi ekuronga mapurogiramu akafanana neLINGO akagadzirwa anoshandisa masvomhu ekugadzirisa mapurogiramu kugadzira mhinduro dzinoshanda uye dzinoshanda nenguva.

mhedziso

Gumi rekuita sarudzo - ndizvo zvese zvaunoda. Ndinovimba, gwara iri rakupa mamwe manzwisisiro ekuti ndedzipi nzira dzekunyorera kune mamwe matambudziko ebhizinesi.

Saka ndisati ndapeta izvi, ndiri kukusiya uine matipi ekupedzisira ekuita sarudzo anobatsira mune chero mamiriro ezvinhu:

• Usambofa wakafunga uye kuunganidza zvakanyanya
• Usanyanya kuzvivimba
• Ramba uchikwenenzvera uye nekugonesa kuronga kwako
• Inzwa kukurudzirwa kuongorora zviitiko zvemukwikwidzi semabhenji

Kufara kuita sarudzo!