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5 Dzisina kujairika Nzira dzeKushandisa Big Data muRetail

Big data yakachinja indasitiri yekutengesa zvisati zvamboitika. Kana iwe wakamboedza kutenga pamhepo saka wave kutoziva nezvenzira iyo e-commerce hofori seAmazon uye eBay vanoshandisa ongororo yedata kuti vape zvakasarudzika mazano nguva dzese paunovhura peji ravo repamba. Zvese zviitiko zvaunoita pane e-commerce saiti inoongororwa kuti ubudise mameseji ekutengesa akasarudzika. Wakamboona here email inoratidza kudzikisira pane zvigadzirwa iwe zvawangoongorora panzvimbo iyi? Izvi zvese zvakaitwa uchishandisa hombe data ongororo. Kunyangwe zvidhina uye zvitoro zvezvitoro zvinoshandisa hombe dhizaini kuongorora kumisikidza kutaurirana kwekushambadzira. Wati wambogamuchira coupon coupon pazuva rako rekuzvarwa? Asi ichi chave chiri chiitiko chekutenga nemhando hombe uye zvitoro zvakasiyana-siyana. Iye zvino kunyange mabhizimusi madiki ekutengesa anogona kushandisa hombe dhata muzvitoro zvavo kugadzirisa kushambadzira nekutaurirana. Nemakambani mazhinji madiki eIT anopa ruzivo rwekuongorora data, kudhinda data hombe rave nyore kupfuura nakare kose. Heano kumwe kushandiswa kwedata hombe mune zvekutengesa zvaunogona kuisa kuchitoro chako kuti uvandudze ROI yakawanikwa kubva kune zvigadzirwa zvehunyanzvi.

5 Zvishandiso zveBig Data muRetail:

1. Kugadziridza Mutengo:

Pasi pemaitiro echinyakare ekutengesa, mutengo wakatemwa zvichibva pazvinhu zvakaita sekutenga mwaka, mutengo wemukwikwidzi, mamiriro emusika, mutengo wezvinhu zvakatengeswa, nezvimwewo. Icho chaive chiitiko uye ura hwemutengesi zvakakonzera huwandu hwesarudzo dzemitengo. Zvakare, kana mutengo wakatemwa wakadzokororwa mushure menguva yakareba kwazvo dzimwe nguva kunyangwe mushure memakore. Kusarudza mutengo wakakodzera wezvinhu uye kuichengeta munguva chaiyo kwagara kuri dambudziko kune vatengesi, asi kwete zvekare, nekuti data hombe rinopa nzira yekubuda.

With the help of big data analysis, you can analyze data from multiple sources like the website, in-store sensors, point of sale systems, the frequency of purchases, inventory status etc. and generate insights that previously went unnoticed. Using this data you can optimize price based on real-time analytics, short-term spikes in demand, consumer behavior etc. E-commerce giants like Amazon and eBay are already using this technique to adjust their prices based on user’s activity. Now with many small and mid-size IT companies offering dhata analytics masevhisi, chero omnichannel mutengesi anogona kubatsirwa kubva kune hombe dhizaini nekunyatsoongorora iyo data yavanogona.

Read More: Maitiro Ekugadzira Yakabudirira Big Data Strategiki mu7 Matanho

2. Forecast Kudiwa:

Mazuva ano mafambiro uye musika buzz ndizvo zvakakura zvinokurudzira kudiwa sekutenga mwaka. Maindasitiri senge fashoni, kutarisirwa kwega, kunyangwe grocery inogona kusangana nekukurumidza spikes mukuda nekuda kwemusika musika uye buzz. guru dhata analytics helps analyze these trends based on a variety of factors like evanhu vezvenhau signals, buying history, competitor analysis etc. Retailers often face difficulties in leveraging these trends because of failing to respond in time.

Nekushandisa chokufenbera analytics retailers can gain knowledge of upcoming trends, spikes, and surges in demand, changes in market price etc. These insights can help them prepare for market matambudziko in advance by maintaining inventory, influencing price and optimizing marketing. Overall big data analysis can ensure that businesses don’t miss out any opportunity that could have possibly helped them shine in the market.

 Read More: 8 Nzira Predictive Analytics Iri Kuchinja Bhizinesi Rako

3.Kutengesa Kunotarisirwa:

Vatengesi vanogona kubatsirwa kubva kune hombe data nekuunza data science to their marketing decisions. Consumers nowadays demand a high level of personalization in marketing messages. They can sense generic promotional content and are highly skeptic towards it. You need to send precise marketing message at the right time to make your marketing work. This can be easily achieved by using guru dhata analytics. Yakakura data inogona kubatsira vatengesi munzira dzinotevera:

  • Ongorora kukanganiswa kwenzira dzakasiyana dzekutengesa pamaitiro evatengi uye mari.
  • Kushandiswa kwevatengi dhata senge makuki, zvakatengwa kutenga uye nhoroondo yekubhurawuza kuona zvinodiwa uye maitiro uye wozozvishambadza mameseji ekutengesa kwavari.
  • Monitor customer activity on evanhu vezvenhau and review sites to ensure a good customer experience by addressing bad reviews if any.

4. Mutengi 360:

The modern customer is a lot more connected than before. With the advent of mobile, e-commerce, evanhu vezvenhau, physical stores, and many other channels the experience of a consumer with a brand is not just limited to website or stores. It is now much easier to reach to the consumer and initiate an interaction. At the same time, there is an increase in the level of expectations by the consumers. Businesses now need to cater to the customer at all the touchpoints to ensure a seamless buying experience and in-turn earn kuvimbika kwemutengi uye kukurudzira.

Bhizinesi pasirese pasirese vava kurwira ruzivo rwevatengi uye data hombe ndechimwe chishandiso chakaomarara kwavari. Nekubatsirwa kwe guru dhata analytics vatengesi vanogona kunyorera data kubva kune akawanda ekubata mabhii kuita makuru ekuongorora maturusi seHadoop uye voiongorora kuti vaunze maonero ehunhu hwevatengi, vanoona marwadzo avo uye vatore kugadzirisa uye kudzivirira matanho ekuvandudza ruzivo rwavo. Muchidimbu, ivo vanofanirwa kutora 360-degree nzira yekutenga vatengi uye yekuchengetedza uye hombe data ongororo inogona kuvabatsira kuti vazviite. 37 Zvinhu iwe zvausingazive nezve Big Data!

5. Kuziva Vatengi:

Zvinonzwika zvakanyanya kuti mabhizimusi anokwanisa kukwanisa kuona vatengi vavo uye kutarisa kwavo kushambadzira kwavari kuti vawedzere mari. Asi ndiani chaizvo akakodzera mutengi kune bhizinesi? Mutengi wako akakodzera ndeuyo ane huwandu hwepamusoro hwehupenyu hwese (LTV) pamutengo wakaderera wekuwana (CAC). Chaizvoizvo, iwe unofanirwa kuziva vatengi vane yakanyanya kukosha yeLTV / CAC. Dambudziko nderekuti vatengesi vanoshandira vatengi kubva kwakasiyana huwandu hwevanhu uye tsika. Izvi zvinoreva kuti pane huwandu hwakawanda hwedata rine chekuita nezera revatengi, zvavanofarira, jogirafi, hunhu, hunhu.

Nekudaro, isu tinogona kuona kuti kune hombe vhoriyamu yedata inoda kuongororwa kuti iunze nzwisiso nezve iyo inotarisirwa misika nevatengi. Nokubatanidza zvakabuditswa kubva kune hombe dhizaini yekuongorora maturusi seHadoop uye makuru ekuona ekushandisa maturusi senge Tafura isu tinokwanisa kuburitsa nzwisiso muzvikamu zvakasiyana zvevatengi uye sarudza chaiyo musika wekutarisa zvichibva paROI yakakwira.

At NewGenApps tine hunyanzvi hwakadzika mukushandisa guru dhata analytics for improving customer experience and optimizing marketing initiatives. With the holiday season upon us, it is the best time for retailers to analyze market trends and take initiatives that can help them improve their marketing. With data science available as a common technology many retailers, maybe even your competitors, have already taken steps to implement it in their decision-making process. Now the ball is in your court how soon you are planning to implement it in your business. If you need help in leveraging big data for your business then inzwa wakasununguka kutibata nesu kune chero mhinduro kana zano.

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