Research on Constructing Intelligence-Oriented Analytics Systems: Insights from Palantir

Pu Yunqiang; Qu Jiansheng; Liu Xinyi

doi:10.13266/j.issn.0252-3116.2026.18.004

Library and Information Service >

2026 , Vol. 70 >Issue 18: 56 - 70

DOI: https://doi.org/10.13266/j.issn.0252-3116.2026.18.004

RESEARCH PAPERS

Research on Constructing Intelligence-Oriented Analytics Systems: Insights from Palantir

Pu Yunqiang ,
Qu Jiansheng ,
Liu Xinyi

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1 National Science Library (Chengdu), Chinese Academy of Sciences, Chengdu 610299;
2 Department of Information Resources Management, School of Economics and Management, University of Chinese Academy of Sciences, Beijing 100190;
3 National Science Library, Chinese Academy of Sciences, Beijing 100190

Pu Yunqiang, Assistant Research Fellow, Doctoral Candidate; Qu Jiansheng, Research Fellow, PhD, Doctoral Supervisor,Corresponding Author, E-mail: qujs@clas.ac.cn; Liu Xinyi, Doctoral Candidate.

Received date: 2025-07-10

Revised date: 2026-01-01

Online published: 2026-09-08

Supported by

This work is supported by the Key Project of the Innovation Fund of the National Science Library (Chengdu), Chinese Academy of Sciences, titled “Data and Model Construction for AI-Enhanced Science and Technology Intelligence Platform” (Grant No. E5Z0000101), and the Youth Project of the Innovation Fund of the National Science Library (Chengdu), Chinese Academy of Sciences, titled “Forward-looking Intelligence Research on Science and Technology Security Based on Large Language Models and Multi-source Data” (Grant No. E3Z0000802).

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Abstract

[Purpose/Significance] As artificial intelligence increasingly integrates with intelligence analysis, traditional intelligence operations face transformational challenges toward intelligentization. How to systematically construct intelligence-oriented analytics systems has become a critical issue that urgently needs to be addressed. By deconstructing Palantir’s technical architecture and innovative practices, this study reveals the construction principles of modern intelligent analytics systems, providing valuable insights for the intelligent transformation of China’s intelligence agencies. [Method/Process] Combining survey interviews with literature analysis, this research employs a three-tiered analytical framework of “platform deconstruction → distinctive feature exploration → strategic recommendations," this research conducts an in-depth analysis of the core technical architecture, key capability systems, and implementation pathways of intelligence-oriented analytics systems. [Result/Conclusion] Through systematic integration of core technical elements including platform ecosystems, ontological reconstruction, microservice architecture, human-machine collaboration, and decision-driven approaches, Palantir has developed distinctive technical philosophies encompassing intensive architecture, cross-domain integration, modular assembly, progressive evolution, and goal-oriented analysis, achieving effective transformation from traditional data processing to intelligent cognitive analytics. This study proposes a construction framework for intelligence-oriented analytics systems, encompassing strategic pathways including scalable technical architecture, multi-source resource integration, modular capability systems, user-centric service systems, and decision-oriented analytical systems, providing a theoretical foundation foundation and practical guidance for advancing the modernization transformation of China’s intelligent analytics capabilities.

Key words： Palantir; artificial intelligence; AI-enhanced intelligence; intelligence analysis; system construction

Cite this article

Pu Yunqiang , Qu Jiansheng , Liu Xinyi . Research on Constructing Intelligence-Oriented Analytics Systems: Insights from Palantir[J]. Library and Information Service, 2026 , 70(18) : 56 -70 . DOI: 10.13266/j.issn.0252-3116.2026.18.004

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