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Use of Big data in the financial sector of
Bangladesh
Course:FC-509(Business Research)
Submittedto:
RHA(RezwanUlHaque)
SubmittedBY:
MehrinRahman
ID#232060020
Introduction
• Data analytics (BDA) in banks and non-banks
financial institutions (BNBFI) becomes easy in
Bangladesh since the advent of information
technology (IT), data plays essential role to
take an accurate decision.
• Big Data Is a game changer for both financial
and individual Sector in Bangladesh.
Key Sector
• Enhanced Diction Making
• Improve efficiency and operations
• Financial inclusion
• Challenge and consideration
Enhanced decision-making:
Customer insights: transactions, social media, and
demographics data collection to understand customer,
products and services.
Risk management: identify potential fraud, access
creditworthiness, and manage financial risks more
effectively.
Market analysis: market trends, competitor data,
financial institutions to take decisions and develop
strategic plans.
Improved efficiency and operations:
• Fraud detection: Real-time analysis of transactions can
identify and prevent fraudulent activities before they cause
damage.
• Streamlined processes: Automating tasks like loan
approvals and customer service can save time and
resources.
• Targeted marketing: Big data allows for personalized
marketing campaigns that are more likely to resonate with
customers, increasing conversion rates.
Financial Inclusion
• Unbanked credit:Analyzing alternative data sources like mobile
phone usage can help create credit scores for individuals
without traditional banking history, enabling access to financial
services.
• Microfinance optimization: Big data can help microfinance
institutions assess borrower risk, design effective loan products,
and improve repayment rates.
Challenges and considerations:
• Data infrastructure and expertise: the talent needed
to handle and analyze big data requires significant
investment.
• Data privacy and security: Ensuring data privacy and
security is crucial, especially with sensitive financial
information.
• Regulatory environment: The regulatory landscape
for big data in Bangladesh is still evolving, requiring
careful navigation.
Conclusion
•
• The potential benefits of big data are driving the
financial sector of Bangladesh despite the
challenges.
• As the technology and regulations improved, we can
expect to see even more innovative applications that
benefit both institutions and individuals, contributing
to financial inclusion and economic growth.
THANK YOU

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Big Data in the financial sector of Bangladesh

  • 1. Use of Big data in the financial sector of Bangladesh Course:FC-509(Business Research) Submittedto: RHA(RezwanUlHaque) SubmittedBY: MehrinRahman ID#232060020
  • 2. Introduction • Data analytics (BDA) in banks and non-banks financial institutions (BNBFI) becomes easy in Bangladesh since the advent of information technology (IT), data plays essential role to take an accurate decision. • Big Data Is a game changer for both financial and individual Sector in Bangladesh.
  • 3. Key Sector • Enhanced Diction Making • Improve efficiency and operations • Financial inclusion • Challenge and consideration
  • 4. Enhanced decision-making: Customer insights: transactions, social media, and demographics data collection to understand customer, products and services. Risk management: identify potential fraud, access creditworthiness, and manage financial risks more effectively. Market analysis: market trends, competitor data, financial institutions to take decisions and develop strategic plans.
  • 5. Improved efficiency and operations: • Fraud detection: Real-time analysis of transactions can identify and prevent fraudulent activities before they cause damage. • Streamlined processes: Automating tasks like loan approvals and customer service can save time and resources. • Targeted marketing: Big data allows for personalized marketing campaigns that are more likely to resonate with customers, increasing conversion rates.
  • 6. Financial Inclusion • Unbanked credit:Analyzing alternative data sources like mobile phone usage can help create credit scores for individuals without traditional banking history, enabling access to financial services. • Microfinance optimization: Big data can help microfinance institutions assess borrower risk, design effective loan products, and improve repayment rates.
  • 7. Challenges and considerations: • Data infrastructure and expertise: the talent needed to handle and analyze big data requires significant investment. • Data privacy and security: Ensuring data privacy and security is crucial, especially with sensitive financial information. • Regulatory environment: The regulatory landscape for big data in Bangladesh is still evolving, requiring careful navigation.
  • 8. Conclusion • • The potential benefits of big data are driving the financial sector of Bangladesh despite the challenges. • As the technology and regulations improved, we can expect to see even more innovative applications that benefit both institutions and individuals, contributing to financial inclusion and economic growth.