Unique ID: WB7

Division: WAFAL - Loan Systems
Issue Date: February 13th 2019
Last modified: February 22nd 2019
Collaborative

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
Project Sources
Type Of Institution: international organization
Region: Global
Country Area: Global
Id Country Regional: global
Other
Other
Timeframe To Produce Indicator: NA
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