Smart Public Finances: Data-Driven Public Expenditure Management for Greater Efficiency
Sector: Government • Location: Guatemala
Source: World Bank Group
The program aims to enhance efficiency, effectiveness and accountability of public expenditures by deploying smart, data-driven PFM solutions. It focuses on addressing challenges related to inefficiencies in the use of public resources, the suboptimal allocation and utilization of public spending in strategic sectors, the limited adoption of evidence and data analytics for policy making and operat
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | active |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | The program aims to enhance efficiency, effectiveness and accountability of public expenditures by deploying smart, data-driven PFM solutions. It focuses on addressing challenges related to inefficiencies in the use of public resources, the suboptimal allocation and utilization of public spending in strategic sectors, the limited adoption of evidence and data analytics for policy making and operations, and the existing vulnerability and technical weaknesses of existing management information systems. The program will support interventions around four pillars aiming at strengthening the foundations for data-driven public expenditure management (Smart PFM), supporting the optimization of expenditure management in strategic sectors (i.e. education, health, security and others), establishing a secure, sustainable PFM information ecosystem and developing the institutional capabilities and knowledge sharing mechanisms for the effective use and absorption of data analytics practices in government institutions. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
