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

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