
Mar
21
Data-Driven Lending – Unlocking Your Goldmine
In the digital economy, data is not just an asset—it’s a “goldmine” that can help businesses access capital more easily. How can you leverage data to improve your chances of getting a loan?
This session will help you:
- Understand how to leverage financial, transactional, and customer behavior data to improve credit access.
- Optimize your business’s financial strategy.
- Engage directly with a lending service provider – MISA LENDING.
LEARNING OBJECTIVES
- Understand how banks and financial institutions evaluate loan applications based on data.
- Learn how to collect, analyze, and present data to improve your business’s credit score.
- Utilize technology and AI to streamline the loan application process.
- Explore alternative financial models beyond traditional banking channels.
Time: 7:30 PM – 9:00 PM, March 21, 2025
Format: Zoom (Online)
KEY CONTENT
1. Data – The untapped “goldmine” of your business
- What types of data does your business already have?
- What kinds of data are banks and financial institutions looking for?
- How can you turn raw data into a credit advantage?
2. Data-driven lending – How it works & evaluation criteria
- How banks and financial institutions assess a business’s creditworthiness.
- The importance of transactional data, cash flow, and payment history.
- Common mistakes that lead to loan rejection—and how to avoid them.
KEY MESSAGES
- “Data is an asset – If you don’t tap into it, you’re wasting potential capital.”
- “Let technology open financial doors for you, instead of becoming a barrier.”
EXPECTED OUTCOMES AFTER THE SESSION
- Understand how financial institutions use data to evaluate loans.
- Know how to leverage your business data to improve credit scores and loan eligibility.
- Develop a smarter financial strategy to access funding.
- Be ready to apply technology and new financial models for sustainable growth.
You’re sitting on a goldmine! Don’t let your business data go to waste.
Join us to unlock your financial potential—starting with your own data!
Time:
Friday, 21/03/2025 | 07:30 PM