Lintlha tsa maiketsetso tsa lichelete

Fumana melemo ea ho sebelisa data ea maiketsetso ho tsa lichelete

Mekhatlo ea lichelete le karolo ea data

Lintlha li nka karolo ea bohlokoa indastering ea lichelete, ho tsamaisa liqeto tse nang le tsebo, taolo ea likotsi, temohisiso ea bareki, le taolo ea taolo, ha e ntse e thusa boqapi le katleho ka maano le litharollo tse tsamaisoang ke data. Tšebeliso ea data ea maiketsetso e fa mekhatlo ea lichelete tharollo ea ho boloka lekunutu ho ntlafatsa tlhahlobo ea kotsi, ho lemoha bomenemene, koetliso ea algorithm le nts'etsopele ea software. Ka ho theha li-database tsa sebele empa e le tsa maiketsetso, litsi tsa lichelete li ka ntlafatsa ho etsa liqeto, tsa ntlafatsa ho tsamaellana le melao, le ho theha maano a macha ntle le ho senya litaba tsa bareki.

Mekhatlo ea lichelete le ts'ebeliso ea data ea maiketsetso

Banks
  • Ntlafatsa bomenemene, khahlanong le tšebeliso ea chelete le mekhoa ea ho lemoha lintho tse sa tloaelehang
  • Potlakisa libanka tse bulehileng le kabo ea data ea likhoebo le ba amehang
  • Kenya ts'ebetsong boqapi bo tsamaisoang ke data
  • Netefatsa hore melaoana e tsamaisana le melaoana e thata ea ts'ireletso ea data
Insurance
  • Lintlha tse ikhethileng tsa bareki tse ipapisitseng le data ea maiketsetso ea boleng bo holimo
  • Lekola lintlha tsa lihlahisoa tsa banka tsa dijithale
  • Tšebelisano e sireletsehileng le ho arolelana data
  • Nolofatsa ts'ebeliso ea bobeli ea data ea inshorense
FinTech
  • Ho potlakisa nts'etsopele ea sehlahisoa ka ts'ebeliso ea data ea maiketsetso
  • Ho fokotsa nako ea ho ea 'marakeng
  • Ho lumellana le taolo le melaoana ea ts'ireletso ea data
  • Sireletsa koetliso ea algorithm ka ho holisa data le ho fokotsa lekunutu
ea mekhatlo ea lichelete e tšabang ho lahleheloa ke tlhōlisano ntle le ho sebelisa Big Data
1 %
ho tsetela ho Big Data le litlhahlobo tsa khoebo lekaleng la lichelete ka 2023
$ 1 b
Ntlafatso ea tšebeliso ea lisebelisoa e hakanngoa ka lebaka la ecosystem ea data
1 %
ha e khone ho sebelisa ho feta 40% ea data ea bona
1 %

Case lithuto

Hobaneng ha mekhatlo ea lichelete e nka data ea maiketsetso?

  • Lula ka pele ho tlholisano. Litharollo tse lumellang mekhatlo ea lichelete ho sebelisa data ka bohlale li tla ntlafatsa maemo a tlholisano.
  • Fokotsa nako ho data. Lintlha tsa maiketsetso li potlakisa phihlello ea data ka ho fokotsa litekanyetso tsa kotsi, lits'ebetso tsa kahare le tsamaiso e amanang le likopo tsa phihlello ea data.
  • Takatso to qapa ka data. Takatso ea ho nchafatsa ka data e bohlokoa lekaleng la lichelete. Lintlha tsa maiketsetso li tla potlakisa ho phethahala ha tabatabelo ena.
  • E netefatsa ho latela melaoana ea lekunutu ea data ka ho fokotsa tšebeliso ea data ea sebele ea botho, ntle le ho sitisa batho ba ntlafatsang ka lebaka la boitsebiso ba maiketsetso.

Hobaneng Syntho?

Syntho o na le boiphihlelo bo bongata ba ho sebetsa le mekhatlo ea lichelete

Boiphihlelo ba ho sebetsa le mekhatlo ea lichelete

Ho nka karolo ho hoholo ha merero le libanka tsa machabeng, lik'hamphani tsa inshorense le mekhatlo ea fintech

Lintlha tsa letoto la nako

Sethala se ts'ehetsa lintlha tsa letoto la nako (tseo hangata li sebetsang bakeng sa data ea transaction, data ea mmaraka, data ea matsete, data ea liketsahalo joalo-joalo)

Ho phahamisa

Syntho e tšehetsa upsampling, e lumellang basebelisi ho hlahisa lintlha tse ngata haeba ho na le lintlha tse fokolang, tse sebelisoang tšimong ea ho lemoha bomenemene le ho thibela chelete.

O na le lipotso?

Bua le e mong oa litsebi tsa rona tsa lichelete

Bahloli ba motlotlo ba Global SAS Hackathon

Mohloli oa Global SAS Hackathon Lefapheng la Tlhokomelo ea Bophelo le Lisaense tsa Bophelo

Re motlotlo ho phatlalatsa seo Syntho o hapile mokhahlelong oa tlhokomelo ea bophelo le mahlale a bophelo ka mor'a likhoeli tsa ho sebetsa ka thata ho notlolla lintlha tsa bophelo bo botle ba lekunutu tse nang le data ea maiketsetso e le karolo ea lipatlisiso tsa mofetše bakeng sa sepetlele se etelletseng pele.

sehlopha sa batho ba bososelang

Lintlha ke tsa maiketsetso, empa sehlopha sa rona ke sa 'nete!

Ikopanye le Syntho mme e mong oa litsebi tsa rona o tla ikopanya le uena ka lebelo la leseli ho hlahloba bohlokoa ba data ea maiketsetso!