Data Interview Question

Integrating API Data for Model Preparation

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Requirements Clarification & Assessment

  1. End Goals of Models

    • Regulatory Risk Assessments: Ensure compliance with financial regulations.
    • Credit Decision Frameworks: Evaluate creditworthiness of individuals or entities.
    • Internal Risk Evaluations: Assess potential risks within the institution.
    • Marketing Strategies: Optimize campaigns based on market sentiment.
    • Audits: Ensure accuracy and integrity of financial data.

  2. End Users

    • Internal Workers: Primarily data scientists and analysts.
    • Skill Level: Intermediate to advanced in data manipulation and analysis.

  3. Interface Requirements

    • APIs: Sufficient for integration with other systems.
    • GUI: Optional, depending on user preference and ease of use.

  4. Data Processing Needs

    • Real-time Streaming: Necessary for timely decision-making in volatile markets.
    • Batch Processing: For less time-sensitive tasks.

  5. Compliance and Privacy

    • Data Privacy Laws: Ensure all data handling complies with relevant regulations such as GDPR.
    • Security: Encrypt data during transmission and storage.