Unique ID: WB7
| Division: | WAFAL - Loan Systems |
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| Issue Date: | February 13th 2019 |
| Last modified: | February 22nd 2019 |
Data diving and sprinting - making the case for predictive analytics at the Bank
Data diving and sprinting - making the case for predictive analytics at the Bank
Test the applicability of new/big data techniques to address long-standing challenges in Bank operations. Build a community of internal and external data practitioners with a shared interest in new/big data for development. Collate skills/techniques necessary to apply new/big data at the Bank. 3 test questions (macro, aspirational). Is it possible to predict which projects in the portfolio are likely to succeed? Is it possible to measure poverty faster, at a more local level, and relatively less expensively? Is it possible to predict fraud/corruption in Bank projects. Clients: Bank management, Research teams, Operations teams.
Project Sources
| Type Of Institution: | international organization |
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| Region: | Global |
| Country Area: | Global |
| Id Country Regional: | global |
Other
| Timeframe To Produce Indicator: | NA |
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