Gungano re ZBIN rine gurumwandira revanhu vanosvika 225,000. Vamwe vari muno muZimbabwe—vamweni vacho vachiwanikwa kubanze kwenyika.

Gungano re ZBIN rine rombo rakanakisa rekuti munhu wese arimo. Kubva kumazera ose arimo. Vana mazvikokota ese vachiwanikwawo zvekare. Vadzidzisi kuma university. Ana makoti kuzvipatara uye nevamwe vakuruwo mumapoka avari pamwechete ne vechidiki varikuzvikoro.

Hwuwandu uhwu huwnoita tigare takadzidza. Tinopa mikana kune vakasununguka kutaura pama Premium Chats. Ma Premium Chats aya anosimudzira zvikuru uye subscription is $10 pagore. Ndibatei pa Whatsapp 0773055063 musarasikirwe nemamwe anotevera.

Heinoi Premium Chat ye Data Analytics yechipiri kubva kuna Engineer Luckson Mugomo.

Manheru akanaka hama neshamwari. Sekuudzwa kwamaitwa ini ndinonzi Luckson Mugomo. Mazuvano mukanditi Engineer zvinofadza chaizvo. nekuti zvandirikuita ndezveEngineering. : tosongana pachikamu chino chatinotaura nezvezvinhu zvakurumbira zvokudaro

AI neData Science: Simudzira Bhizinesi Rako, Simudzira Hupfumi. Mhoro sei, ZBIN? Mhoro sei, Ndinokutendai nokundigamuchira pano nhasi. Zita rangu ndinonzi Eng. Luckson Mugomo. Nyanzvi muBig Data Analytics neEngineering Consultancy

 Ndinoda kutanga ndikuzivisei zvishoma kuti muzive kuti munhu ari pano nhasi ndiani uye kuti ndinotaura nehanya panyaya iyi.

Background

Ndoshanda ne kuGreat Zimbabwe University, uko ndinoshanda saCoordinator weBiomedical Informatics neBiomedical Engineering. Ini ndinodzidzisawo muSchool of Medicine, School of Commerce, neSchool of Natural Sciences. Ndinotungamirawo tsvakurudzo dzemudzidzi, uye ndakagadzira makosi akaita seBSc muBiomedical Analytics neMSc muData Science.

Kunze kwezvivakamunyu, ndine ruzivo rwakakura mukushanda nemasangano makuru akaita seSave the Children neHeifer International, uko ndaigadzira masisitimu ekutarisa kuti mapurojekiti avo ari kushanda sei, ndichishandisa maturusi akaita sePower BI neTableau. Ndashandawo mumaindasitiri, kuInnsor Africa, ndichishandisa SQL neAdvanced Excel kugadzirisa mari uye kuderedza nguva yekugadzira mareport ne30%.

Chinangwa

Chinangwa changu nhasi ndechekuti ndikutsanangurirei kuti ruzivo urwu (data) rwunoshandiswa nemakambani makuru sei, uye kuti imwi semabhizinesi madiki munogona sei kurushandisa kuti mukunde mumakwikwi, muite mari, uye mushandure hupenyu hwedu nehupfumi hwenyika.

Zvakare tisati taenda kure ,tine zvatakuisa mumhepo (website )

Hama dzangu, nyika yatiri kurarama nhasi ndeyedata. Chese chinhu chatinoita kutenga, kutengesa, kutambira mari, kurwara chinogadzira data. AI neData Science zviri kuita senge “brain” yezvinhu izvi

Budiriro

Nyika dzakabudirira dziri kushandisa AI kuita sarudzo dzakachenjera. Semuenzaniso, kurima. Nekushandisa data yemamiriro ekunze, nemhando yevhu, nekuti zvirimwa zviri kukura sei, AI inogona kutaurira murimi kuti ashandise fetereza riini, kana kuti acharima sei kuti awane goho rakakura. Izvi zvinoreva kuti haticharimi nekungofungidzira. Tinorima tichiziva. Zvakafanana nezvimwe zvikamu, seutano hwedu, mari, nezvokufambisa.

Small Businesses

 Mabhizinesi Madiki Angashandisa Sei Nguva Yake neMaturusi Aya?

Mubvunzo mukuru: “Ko ini, ndine shopu diki, kana kuti ndinotengesa zvinhu zvishoma, ndingazvishandise sei?” Izvi hazvina kuoma sekufungwa kwenyu

Kutengesa Kwakanangana (Targeted Marketing): Usatengesa kumunhu wese. Shandisa data yevatengi vako. Semuenzaniso, kana uine duka rezvikafu, shandisa Excel kana Power BI (izvo zvandakabatsira kudzidzisa vanhu) kuti uone kuti chikafu chipi chinotengeswa zvakanyanya pazuva ripi. Wobva watumira meseji kune avo vatengi vako vachiti “Nhasi tine discount pazvinhu zvaunoda.” Izvi zvinowedzera kutengesa uye zvinoderedza kurasikirwa nezvakakanganisika nguva.

 “Ruzivo rwevanhu vemabhizimisi madiki vanga vandudza sei mari munguva ino yekuoma kwezvinhu”

Hama dzangu, tiri munguva yakaoma. Mari iri kushomeka, zvinhu zviri kudhura, uye vatengi vane masimba mashoma ekutenga. Asi pane chandinoda kukutaurirai: mabhizinesi madiki akawanda ari kurarama, uye vamwe vari kukura, nekuti vakashandisa zviridzwa zviripo nenzira yakangwara. Handisi kutaura zvenhema; ndazviona ndega mukubatana kwangu nemapurojekiti akasiyana.

Varimi & Data Science

kana uri murimi for example: mvura yavakuitwa juice semagetsi data urikuriziva here ,lets say unehuku pamba. kana small horticulturedata hauoni here kuti rakudiwa apaaa

Muenzaniso Wekutanga

Ngatitangei nemumwe muenzaniso wandakasangana nawo panguva yandakanga ndichiita basa rekune imwe kamba , Taishanda nevaarimi vemumaruwa. Panguva iyoyo, mitengo yezvirimwa yakanga ichidzikira nekuda kwemamiriro ekunze uye kushomeka kwemisika. Asi pane rimwe boka revakadzi raive rakaumbwa seboka rekudyidzana. Takavabatsira kushandisa nzira iri nyore – kungoshandisa mapepa uye nharembozha – kuunganidza data yezvavaitengesa. Vakatanga kunyora kuti chii chaitengeswa zvakanyanya, zuva ripi, uye kuti vatengi vavo vekuuya kwaari. Mushure memwedzi mitatu, vakakwanisa kuchinja nguva yavanotengesa, kudzikisa kurasikirwa nezvakaora, uye kuwedzera purofiti yavo neinosvika 25%. Havana kushandisa Power BI kana Python; vakangoshandisa ruzivo rwavainge vatora kubva mudata ravo. Izvi ndizvo zvinonzi data-driven decision making – uye zvinoshanda.

Muenzaniso wepiri

Mumwe muenzaniso ndewemumwe mudiki wandaidzidzisa mune chimwe chikamu. Aiva neshopu diki yezvipfeko muChiredzi. Aida kuziva kuti sei mari yake yaisaramba ichienda. Takamubatsira kugadzira fomu muGoogle Sheets yekurekodha kutengesa kwake kwemazuva ese. Mushure memwedzi miviri, takaona kuti zvipfeko zvevakadzi zvaitengesa zvakanyanya nemusi weChishanu, asi zvipfeko zvevarume zvaitengesa zvakanyanya mazuva ekutanga kwemwedzi. Akachinja nzira yake yekutenga stock, akatenga zvakawanda zvinotengeswa panguva chaiyo, uye akatanga kushandisa WhatsApp kutumira meseji kune vatengi vake vekare pamberi pezuva rekutengesa. Mukati megore, purofiti yake yakakwira neinosvika 40%, uye akakwanisa kuvhura imwe shopu diki mudhorobha rakapfuura. Uyu hausi wekufungidzira; uyu muenzaniso chaiwo wekuti kushandisa data, kunyange padiki, kunopa simba rekuita sarudzo dzakanaka.

Muenzaniso wetatu

Mumwe muenzaniso ndewemumwe mudiki wandaidzidzisa mu School of Commerce paGZU. Aiva neshopu diki yezvipfeko muChiredzi. Aida kuziva kuti sei mari yake yaisaramba ichienda. Takamubatsira kugadzira fomu nyoro muGoogle Sheets yekurekodha kutengesa kwake kwemazuva ese. Mushure memwedzi miviri, takaona kuti zvipfeko zvevakadzi zvaitengesa zvakanyanya nemusi weChishanu, asi zvipfeko zvevarume zvaitengesa zvakanyanya mazuva ekutanga kwemwedzi. Akachinja nzira yake yekutenga stock, akatenga zvakawanda zvinotengeswa panguva chaiyo, uye akatanga kushandisa WhatsApp kutumira meseji kune vatengi vake vekare pamberi pezuva rekutengesa. Mukati megore, purofiti yake yakakwira neinosvika 40%, uye akakwanisa kuvhura imwe shopu diki mudhorobha rakapfuura. Uyu hausi wekufungidzira; uyu muenzaniso chaiwo wekuti kushandisa data, kunyange padiki, kunopa simba rekuita sarudzo dzakanaka.

Munguva yekuoma, vanhu vanofunga kuti vanofanira kungoomerera. Asi vamwe vanoshandisa iyi nguva kuita zviri nani. Nzira idzi hadzidi mari huru. Dzinoda kuda kuziva data rako, kugadzirisa mashandiro ako, uye kuita sarudzo dzakavakirwa pane zviri kuitika, kwete kungofungidzira.

Sezvandakaitawo mumabasa angu econsulting , ndakaona kuti vakawanda vakatanga mabhizinesi madiki vachishandisa hunyanzvi hwavakawana kwandiri rweePower BI neExcel. Mumwe wavo akatanga kupa masevhisi ekugadzira mareport emari kumashops madiki mudhorobha rake. Iye zvino ane vatengi vanopfuura makumi maviri, uye anochaja mari inobatsira iye nemhuri yake. Akashandisa iyo nguva yekuoma kuti ave nyanzvi, uye zvino vanhu vanomutsvaga nekuti vanoziva kuti anogona kuvabatsira kunzwisisa mari yavo.

Saka ndinokurudzirai:

Regai kungoti “hazvigoneki.” Tarirai data yenyu yemazuva ese.

Shandisai maturusi aripo: Excel, Google Forms, kana kunyange notebook.

Tsanangudzai dambudziko: Ndeipi nguva yekutengesa yakanaka? Ndezvipi zvinhu zvinonyanya kurasika? Ndeapi madhiraivha emari yenyu? Itai shanduko diki diki, moongorora kana dzichishanda.

Good day ZBIN family. My name is Rutendo Nemapare (Masithole) 65 years of age on the 6th of this month. Would like to start by thanking God for yet another year. Am a mother of 4 and grandmother of 5 living in Chitungwiza.

History

I worked in administration and secretarial positions during my working days. Growing up my hobbies were knitting and knitting. I have always enjoyed making stuff with my own hands (kushandisa maoko). When my children were growing up in the 80s I never used to buy jerseys for them, my husband even for myself. I used to hand knit. Unfortunately in those days we didn’t have mobile phones to show off our work.

UK Experience:

I then left for the UK and when I came back I brought a few knitting patterns and knitting needles but people were now into machine knitted jerseys and fleeces and even the wool was now hard to find.

I joined the FB and saw an advert for beading lessons. I took up the course for 3 days and perfected it on on my own. I then joined the ZBIN family and asked Ntate if it was OK to design and see if I can make a ZBIN bag and got a positive response . This is the bag shown in the pictures.

Zimbabwe Flag

I also decided to make a go at the Zimbabwe flag bag and other designs including church colours. The Zimbabwe bag was a hit with the Diaspora community. I once joined a group of ladies on a trip to Tanzania to source the material originally from China.

Then when sales dropped I decided to go on YouTube and learnt how to make beaded key holders as well as bracelets. These I advertise on the FB Market place. I also have a FB page RN Beaded Bags & Accessories. Please check it out and like my page. All my beaded work is displayed there. I also have this flyer with some of my work.

ZBIN Impact.

I also thought about doing a different kind of project having followed J@J Rabbitry’s journey on the group whom I approached and he gave me an online training on rabbitry and still he is still my mentor. I took up rabbitry because of lack of space and it’s something I could do at the back of my yard. I then bought my cage and all the necessities to start the project. I started with 3 rabbits 2 females and 1 male they were 8 weeks old at the time. I specialise in New Zealand White breed and sell to those who want to start their own so I sell breeding stock. Rabbits take long to start multiplying but when they do they can give birth to average of 8 at a time and only carry for a month. They only feed on rabbit pellets, hay and water. I start selling at 6 weeks but they start breeding at 6 months old. Am glad to say I can also share my experiences with other upcoming rabbit farmers. I am also a member of the ZBIN rabbit group and other groups.

Herewith are pictures of my small rabbitry project.

Contact No: +263 73 536 9100