Big Data Analytics in Banking

Recorded Books Β· Π§ΠΈΡ‚Π° Archie (ΠΈΠ· Google-Π°) ΡƒΠ· ΠΏΠΎΠΌΠΎΡ› Π²Π΅ΡˆΡ‚Π°Ρ‡ΠΊΠ΅ ΠΈΠ½Ρ‚Π΅Π»ΠΈΠ³Π΅Π½Ρ†ΠΈΡ˜Π΅
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ΠΠ°Ρ€Π°Ρ†ΠΈΡ˜Π° Π²Π΅ΡˆΡ‚Π°Ρ‡ΠΊΠ΅ ΠΈΠ½Ρ‚Π΅Π»ΠΈΠ³Π΅Π½Ρ†ΠΈΡ˜Π΅
ΠžΡ†Π΅Π½Π΅ ΠΈ Ρ€Π΅Ρ†Π΅Π½Π·ΠΈΡ˜Π΅ нису Π²Π΅Ρ€ΠΈΡ„ΠΈΠΊΠΎΠ²Π°Π½Π΅ Β Π‘Π°Π·Π½Π°Ρ˜Ρ‚Π΅ вишС
Π–Π΅Π»ΠΈΡ‚Π΅ Π»ΠΈ ΡƒΠ·ΠΎΡ€Π°ΠΊ који Ρ‚Ρ€Π°Ρ˜Π΅ 29 ΠΌΠΈΠ½? Π‘Π»ΡƒΡˆΠ°Ρ˜Ρ‚Π΅ ΡƒΠ²Π΅ΠΊ, Ρ‡Π°ΠΊ ΠΈ ΠΎΡ„Π»Π°Ρ˜Π½.Β 
Π”ΠΎΠ΄Π°Ρ˜

О овој Π°ΡƒΠ΄ΠΈΠΎ-књизи

Big data analytics in banking refers to the use of vast amounts of structured and unstructured data to enhance decision-making, improve customer service, and optimize operations. With the rise of digital banking, financial institutions now have access to an unprecedented amount of data from customer transactions, online behavior, social media, and market trends. By analyzing this data, banks can gain valuable insights into customer preferences, risk profiles, and emerging market opportunities. This allows them to offer personalized financial products, predict customer needs, and identify potential fraud or credit risks more effectively.

ΠžΡ†Π΅Π½ΠΈΡ‚Π΅ ΠΎΠ²Ρƒ Π°ΡƒΠ΄ΠΈΠΎ-ΠΊΡšΠΈΠ³Ρƒ

ΠˆΠ°Π²ΠΈΡ‚Π΅ Π½Π°ΠΌ својС ΠΌΠΈΡˆΡ™Π΅ΡšΠ΅.

Π˜Π½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΡ˜Π΅ ΠΎ ΡΠ»ΡƒΡˆΠ°ΡšΡƒ

ΠŸΠ°ΠΌΠ΅Ρ‚Π½ΠΈ Ρ‚Π΅Π»Π΅Ρ„ΠΎΠ½ΠΈ ΠΈ Ρ‚Π°Π±Π»Π΅Ρ‚ΠΈ
Π˜Π½ΡΡ‚Π°Π»ΠΈΡ€Π°Ρ˜Ρ‚Π΅ Π°ΠΏΠ»ΠΈΠΊΠ°Ρ†ΠΈΡ˜Ρƒ Google Play књигС Π·Π° Android ΠΈ iPad/iPhone. Аутоматски сС ΡΠΈΠ½Ρ…Ρ€ΠΎΠ½ΠΈΠ·ΡƒΡ˜Π΅ са Π½Π°Π»ΠΎΠ³ΠΎΠΌ ΠΈ ΠΎΠΌΠΎΠ³ΡƒΡ›Π°Π²Π° Π²Π°ΠΌ Π΄Π° Ρ‡ΠΈΡ‚Π°Ρ‚Π΅ онлајн ΠΈ ΠΎΡ„Π»Π°Ρ˜Π½ Π³Π΄Π΅ Π³ΠΎΠ΄ Π΄Π° сС Π½Π°Π»Π°Π·ΠΈΡ‚Π΅.
Π›Π°ΠΏΡ‚ΠΎΠΏΠΎΠ²ΠΈ ΠΈ Ρ€Π°Ρ‡ΡƒΠ½Π°Ρ€ΠΈ
КњигС ΠΊΡƒΠΏΡ™Π΅Π½Π΅ Π½Π° Google Play-Ρƒ ΠΌΠΎΠΆΠ΅Ρ‚Π΅ Π΄Π° Ρ‡ΠΈΡ‚Π°Ρ‚Π΅ ΠΏΠΎΠΌΠΎΡ›Ρƒ Π²Π΅Π±-ΠΏΡ€Π΅Π³Π»Π΅Π΄Π°Ρ‡Π° Π½Π° Ρ€Π°Ρ‡ΡƒΠ½Π°Ρ€Ρƒ.

Још ΠΎΠ΄ Π°ΡƒΡ‚ΠΎΡ€Π° Ahmed Musa

Π‘Π»ΠΈΡ‡Π½Π΅ Π°ΡƒΠ΄ΠΈΠΎ-књигС

Π§ΠΈΡ‚Π° Archie