Epython Lab

📢Day 7/100: Tackling Data Availability in Ethiopia

Building a credit scoring model in Ethiopia has challenges, especially regarding data. 📊

Key hurdles I’m exploring:

1️⃣ Data scarcity: Formal credit histories are rare, but eCommerce and mobile money data offer untapped potential.

2️⃣ Local partnerships: Collaborating with fintechs to access anonymized transaction data.

3️⃣ Privacy compliance: Ensuring data protection laws are adhered to while innovating responsibly.

💡 Question of the day: Are there alternative sources of financial data that have worked well in other emerging markets?

#DataChallenges #Ethiopia #FintechInnovation #AlternativeData #PrivacyByDesign

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991 viewsDec 9, 2024 at 07:03

📢Day 7/100: Tackling Data Availability in Ethiopia

Building a credit scoring model in Ethiopia has challenges, especially regarding data. 📊

Key hurdles I’m exploring:

1️⃣ Data scarcity: Formal credit histories are rare, but eCommerce and mobile money data offer untapped potential.

2️⃣ Local partnerships: Collaborating with fintechs to access anonymized transaction data.

3️⃣ Privacy compliance: Ensuring data protection laws are adhered to while innovating responsibly.

💡 Question of the day: Are there alternative sources of financial data that have worked well in other emerging markets?

#DataChallenges #Ethiopia #FintechInnovation #AlternativeData #PrivacyByDesign

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