Please use this identifier to cite or link to this item:
https://dair.nps.edu/handle/123456789/4426
Title: | Understanding PALT Time Frames with Big Data Analytics |
Authors: | David Gill |
Keywords: | Contracting Procurement Administrative Lead Time Big Data Analytics PALT Predictive Modeling Machine Learning Data Visualization Time to Contract Award |
Issue Date: | 19-May-2021 |
Publisher: | Acquisition Research Program |
Citation: | Published--Unlimited Distribution |
Series/Report no.: | Acquisition Management;SYM-AM-21-119 |
Abstract: | Awarding federal contracts is perceived as an excessively lengthy process. The purpose of this research is threefold: (1) to understand the drivers of procurement administrative lead time (PALT), (2) to identify opportunities to reduce PALT, and (3) to predict when specific requirements are likely to be awarded. These analyses will be performed using newly available, government-wide data for over 5 million federal contracts. |
Description: | Acquisition Management / Defense Acquisition Community Contributor |
URI: | https://dair.nps.edu/handle/123456789/4426 |
Appears in Collections: | Annual Acquisition Research Symposium Proceedings & Presentations |
Files in This Item:
File | Description | Size | Format | |
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SYM-AM-21-119.pdf | Presentation PDF | 373.84 kB | Adobe PDF | View/Open |
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