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5 Anoshanda Anoshandisa eBig Data muKushambadzira uye Kutengesa

Kuongorora kukuru kwedata chishandiso chine simba chinowanikwa nevashambadzi. Iine tekinoroji iri kufambira mberi nekukurumidza, chazove chishandiso chakasimba chevashandi vekutengesa nekushambadzira. Data yesayenzi pamwe ne machine learning can help us better understand the market, refine our strategies and improvise decision making. In this blog, we will discuss the most popular big data analysis techniques and their use in marketing and sales. Each section is linked to posts which can give you more detailed information about the analysis models (in case you are a curious person). Either way, the information provided here should give you sufficient insights to start exploring the space of big data analysis and discuss with analysts about the possibilities of the data you own.

Know about the latest trends and application of big data in bhizimisi with our eBook. Dhawunirodha nhasi uye uwane mahara kuwana

Yakakura Dhata muKutengesa uye Kushambadzira: 5 Dhata Yekuongorora Matekiniki eI-yakadzika Kushambadzira Insights

1.Gadzirisa Mitengo:

According to McKinsey, 75% of a typical company’s revenue results from its standard products at the same time, 30% of the pricing decisions these companies make every year fail to reach the best price. Where a nominal 1% price increase resulting in an 8.7% increase in operating profits, assuming there is no loss of volume, pricing can dramatically grow the profitability. Big data analysis enables market analysts to study a wide range of market factors and combine the data with company’s accounts statements to reach the optimal price of a product or service.

Imwe kesi yekushandisa ye dhata hombe mukugadzirisa kwemutengo iri kuona yakatemwa mitengo yakaderera kuti ive nechokwadi chekuchengetedzwa kwemasheya. Nekubatsirwa kwe Markdown Optimization makambani anokwanisa kuona iwo mutengo wakakwana wezvigadzirwa zvavo nekudaro vachiwedzera margin yavo. Kuongorora uku kunoitwa mumatanho matatu:

  • Kudzokororazve kuongororwa kweiyo nhoroondo yekutenga kwevatengi, maitiro, uye sarudzo.
  • Statistical kuongororwa kuti uone mutengo wekusimba kwekudiwa nekubatanidza data rekutenga uye musika musimba.
  • pakupedzisira optimization yebhizinesi nekuongorora mutengo wakapinda mukati kugadzira uye kuzivisa poindi yemutengo nekuwedzera purofiti.

Pakupedzisira izvi zvinobatsira kupindura mibvunzo mitatu yakakosha - danho rekudzikiswa kwemitengo, kukanganisa pundutso, nguva yakakwana yekuita shanduko mumitengo.

Read More: Mashandisiro Ekushandisa Bhizinesi Njere Kugadzira Sense kunze kweBig Data?

2. Kuvandudza Kugoverwa kweBhajeti:

Nhasi uno mabhizinesi ane nzira zhinji dzekusvikira vatengi uye bhajeti rese rekushambadzira riri kupihwa mugero wega wega zvakasiyana. Kune matambudziko akakosha anotarisana nevanoita sarudzo pavanenge vachisarudzira zvakakwana bhajeti kugoverwa sezvo zvichinetsa kubata chero chiteshi chakanangana nekukura. Izvo hazvigoneke kuti ubikire pasi kune mashoma chete magero kana vanoita sarudzo vanogona kungoisa zvakavanzika zviwanikwa.

Big data offers a solution to this problem using the musika musanganiswa modelling michina. Musika musanganiswa modelling inopa zviono munzvimbo inoitika yezvinhu zvekushambadzira uye zvingangoitika mune ramangwana mushandirapamwe wekushambadzira paIO, purofiti, uye kutengesa. Nekudaro, kukupa iwe fungidziro nzwisiso nezve kubatsirwa kwemishandirapamwe kunyange usati waurayiwa. Izvi zvinokubatsira kuona chaiwo makwara ane mukana wekukwidziridza purofiti nekudyara zvinoenderana.

Read More: Kuvandudza Ruzivo rweMutengi muZera reMireniyumu

3.Gadzirisa Ruzivo rweMutengi:

Neese bhizimisi moving towards content marketing there is an enormous increase in content. This has made it difficult for users to find the right information for their needs. On the other hand, the competition on every digital platform has increased significantly. To compete efficiently businesses need to offer their content to a targeted audience. Companies like Facebook and Google use big data analysis to enable advertisers to target content with people of desired interests and behavior. Now, companies can also perform such analysis at an individual level.

Nekuongorora iyo data nezve maitiro evatengi uye zvido zvemakambani zvinogona kugadzira injini dzekurumbidza izvo zvinogona kuendesa zvirimo kune vatengi izvo zvavangangodaro kuita navo. Maitiro akafanana anonzi musika tswanda ongororo inogona kushandiswa kufanotaura maitiro evatengi zvinoenderana nekutenga kwavo kwazvino uye zvekare. Kushandisa aya matekiniki emagetsi haangogadzirise ruzivo rwepamhepo chete asi zvakare kugadzirisa marongero echitoro uye mameseji ekutengesa

Read More: Sei AI, ML uye Big Data Kuvandudza Kwevatengi Zvakaitika?

4. Kuziva kweVatengi Psychology:

Kutaurirana kweDhijitari kunouya nerubatsiro rwe-yakadzika yekutevera Iko kushandiswa kweUTM uye mepu dzekupisa zvakapa kuwanda kwakawanda pamusoro pehunhu hwevatengi pane webhusaiti kupfuura nakare Zvakare, iko kuvandudzwa kweIoT kunyorera kwakapa mikana yekutevera maitiro evashandisi uchishandisa maseru muzvitoro zvepanyama. Pakazara tinogona kutaura kuti mabhizinesi anowana mukana wakakura wedata kana zvirinani ivo vanogona kuwana nyore kuwana kwairi.

Big data analysis helps analyze this data at scale. With kupiwa modelling, zvinokwanisika kuita mepu rwendo rwese rwevatengi uye nekupa zviyero zvakasiyana kumatunhu ekubata akasiyana zvichienderana nebasa ravo mukutengesa. Izvi hazvibatsire chete mukugovera zvirinani zvekushambadzira zviwanikwa asi zvakare zvinovandudza mashandiro emakampeni ane data rakatsigirwa kutora danho.

Read More: 7 Matanho Ekugadzira Yakabudirira Big Data Strategic

5.Kunzwisisa mukati meMutengi Emotions:

Iyo ipfungwa yakajairika kuti ongororo yedata mukushambadzira nekutengesa inongoburitsa mhedzisiro yekuongorora. Nehungwaru hwepamoyo kuve chikamu chakakosha chekutaurirana kwevanhu, data science inongofungidzirwa sechinhu chinowirirana. Nekufambira mberi kwetekinoroji, isu ikozvino hatigone chete kunzwisisa manzwiro evanhu asiwo kuzviongorora nekudzokera kwazviri.

ne manzwiro ongororo, makambani anokwanisa kunzwisisa manzwiro ari kumashure kwechinyorwa nekuchiongorora. Iyi nzira inogona kushandiswa kudzidza kutaurirana maererano nechiratidzo pa evanhu vezvenhau Mapuratifomu, blogs and review sites to understand the collective market opinion towards it. The kushandisa chatbots inobatsirawo kwazvo mukunzwisisa manzwiro evatengi sezvo nhoroondo yese yekutaurirana inogona kunyorwa nyore uye kuongororwa.

If you are looking for ways to leverage big data enyu bhizimisi then feel free to get in touch. With a deep expertise in data science and a team of experienced Developers, we can help you find the insights that you need to transform your bhizimisi.

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