Using Data Analytics in Public Procurement Operational Options and a Guiding Framework

The world spent $11 trillion on public procurement in 2018, amounting to 12 percent of global GDP (Bosio et al. 2022). Given these substantial volumes, public procurement can contribute to several objectives: savings, integrity, economic growth,...

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Main Author:	World Bank
Format:	Report
Language:	English
Published:	Washington, DC 2022
Subjects:	CONFLICT OF INTEREST PROCUREMET DATA ANALYTICS (PDA) PROCUREMENT REFORM ELECTRONIC GOVERNMENT PROCUREMENT (EGP) PROCUREMENT BEST PRACTICE DATA ANALYTICS IN GOVERNMENT PUBLIC SECTOR DATA LINKING DATA-DRIVEN PROCUREMENT DIAGNOSTIC TRANSPARENCY EQUITY ANTI-CORRUPTION AGENDA SUSTAINABLE PUBLIC PROCUREMENT PUBLIC ADMINISTRATION
Online Access:	http://documents.worldbank.org/curated/en/099030105172217504/P1750330d968020ee0b60d01ec17bb14115 http://hdl.handle.net/10986/37467

id	okr-10986-37467
recordtype	oai_dc
spelling	okr-10986-374672022-05-24T05:10:38Z Using Data Analytics in Public Procurement Operational Options and a Guiding Framework World Bank CONFLICT OF INTEREST PROCUREMET DATA ANALYTICS (PDA) PROCUREMENT REFORM ELECTRONIC GOVERNMENT PROCUREMENT (EGP) PROCUREMENT BEST PRACTICE DATA ANALYTICS IN GOVERNMENT PUBLIC SECTOR DATA LINKING DATA-DRIVEN PROCUREMENT DIAGNOSTIC TRANSPARENCY EQUITY ANTI-CORRUPTION AGENDA SUSTAINABLE PUBLIC PROCUREMENT PUBLIC ADMINISTRATION The world spent $11 trillion on public procurement in 2018, amounting to 12 percent of global GDP (Bosio et al. 2022). Given these substantial volumes, public procurement can contribute to several objectives: savings, integrity, economic growth, inclusiveness, and sustainability. Procurement Data Analytics (PDA) can contribute to the achievement of these objectives. It refers to the use of data to generate actionable insights and evidence to monitor outcomes, inform the policy dialogue, guide reform efforts, and assess the impact of reforms and strategies in public procurement. Despite a growing academic literature and impact evaluations on public procurement, the existing body of evidence is still scarce and limited to a few countries. This impedes drawing generalizable lessons on optimal policies and strategies to achieve the multi-layered objectives of the public procurement function, therefore highlighting the need for a larger adoption of data analytics tools in this area. With the increasing adoption of electronic government procurement (eGP) systems and the corresponding digitization of transaction records, public procurement has enormous untapped potential for the application of data analytics tools. This paper highlights the successful approaches and good practices of previous PDA work and provide useful resources to World Bank teams with country engagements relating to public procurement. Possibly interesting to a broader audience, an analytical framework is also discussed to guide the application of data analytics tools in public procurement, data sources, the open government agenda, and data standards. 2022-05-23T15:10:47Z 2022-05-23T15:10:47Z 2022 Report http://documents.worldbank.org/curated/en/099030105172217504/P1750330d968020ee0b60d01ec17bb14115 http://hdl.handle.net/10986/37467 English CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank Washington, DC Report
repository_type	Digital Repository
institution_category	Foreign Institution
institution	Digital Repositories
building	World Bank Open Knowledge Repository
collection	World Bank
language	English
topic	CONFLICT OF INTEREST PROCUREMET DATA ANALYTICS (PDA) PROCUREMENT REFORM ELECTRONIC GOVERNMENT PROCUREMENT (EGP) PROCUREMENT BEST PRACTICE DATA ANALYTICS IN GOVERNMENT PUBLIC SECTOR DATA LINKING DATA-DRIVEN PROCUREMENT DIAGNOSTIC TRANSPARENCY EQUITY ANTI-CORRUPTION AGENDA SUSTAINABLE PUBLIC PROCUREMENT PUBLIC ADMINISTRATION
spellingShingle	CONFLICT OF INTEREST PROCUREMET DATA ANALYTICS (PDA) PROCUREMENT REFORM ELECTRONIC GOVERNMENT PROCUREMENT (EGP) PROCUREMENT BEST PRACTICE DATA ANALYTICS IN GOVERNMENT PUBLIC SECTOR DATA LINKING DATA-DRIVEN PROCUREMENT DIAGNOSTIC TRANSPARENCY EQUITY ANTI-CORRUPTION AGENDA SUSTAINABLE PUBLIC PROCUREMENT PUBLIC ADMINISTRATION World Bank Using Data Analytics in Public Procurement Operational Options and a Guiding Framework
description	The world spent $11 trillion on public procurement in 2018, amounting to 12 percent of global GDP (Bosio et al. 2022). Given these substantial volumes, public procurement can contribute to several objectives: savings, integrity, economic growth, inclusiveness, and sustainability. Procurement Data Analytics (PDA) can contribute to the achievement of these objectives. It refers to the use of data to generate actionable insights and evidence to monitor outcomes, inform the policy dialogue, guide reform efforts, and assess the impact of reforms and strategies in public procurement. Despite a growing academic literature and impact evaluations on public procurement, the existing body of evidence is still scarce and limited to a few countries. This impedes drawing generalizable lessons on optimal policies and strategies to achieve the multi-layered objectives of the public procurement function, therefore highlighting the need for a larger adoption of data analytics tools in this area. With the increasing adoption of electronic government procurement (eGP) systems and the corresponding digitization of transaction records, public procurement has enormous untapped potential for the application of data analytics tools. This paper highlights the successful approaches and good practices of previous PDA work and provide useful resources to World Bank teams with country engagements relating to public procurement. Possibly interesting to a broader audience, an analytical framework is also discussed to guide the application of data analytics tools in public procurement, data sources, the open government agenda, and data standards.
format	Report
author	World Bank
author_facet	World Bank
author_sort	World Bank
title	Using Data Analytics in Public Procurement Operational Options and a Guiding Framework
title_short	Using Data Analytics in Public Procurement Operational Options and a Guiding Framework
title_full	Using Data Analytics in Public Procurement Operational Options and a Guiding Framework
title_fullStr	Using Data Analytics in Public Procurement Operational Options and a Guiding Framework
title_full_unstemmed	Using Data Analytics in Public Procurement Operational Options and a Guiding Framework
title_sort	using data analytics in public procurement operational options and a guiding framework
publisher	Washington, DC
publishDate	2022
url	http://documents.worldbank.org/curated/en/099030105172217504/P1750330d968020ee0b60d01ec17bb14115 http://hdl.handle.net/10986/37467
_version_	1764487217838817280

Using Data Analytics in Public Procurement Operational Options and a Guiding Framework

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