Richland, 99354, WA,
United States
Pacific Northwest National Laboratory Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Pacific Northwest National Laboratory and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 6400 Pacific Northwest National Laboratory employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Pacific Northwest National Laboratory has purchased the following applications: Oracle PeopleSoft ERP for ERP Financial in 2010, iCIMS Jibe for Applicant Tracking System in 2014, IBM Maximo for Enterprise Asset Management in 2010 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Pacific Northwest National Laboratory is running and its propensity to invest more and deepen its relationship with Oracle , iCIMS , Trivantis or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Pacific Northwest National Laboratory revenues, which have grown to $1.64 billion in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Pacific Northwest National Laboratory intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury applications.
ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Oracle | Legacy | Oracle PeopleSoft ERP | ERP Financial | ERP Financial Management | n/a | 2010 | 2011 |
In 2010 Pacific Northwest National Laboratory selected and deployed Oracle PeopleSoft ERP (ERP Financial) to replace a legacy system. Implementation leadership included the IT Manager for PeopleSoft and Organizational Development; the deployment specifically covered PeopleSoft Financials, Human Capital Management (HCM), and Enterprise Learning Management (ELM). The program consolidated core finance, HR, and learning-management functions into a single PeopleSoft footprint, standardizing transactional finance and HR processes and centralizing employee learning administration. Module selection and organizational ownership imply operational coverage across the laboratory’s financial operations, HR administration (including payroll-related functions commonly handled by HCM), and enterprise learning and development workflows.
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ERP Financial | ERP Financial Management |
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2024 | 2025 |
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HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| iCIMS | Legacy | iCIMS Jibe | Applicant Tracking System | HCM | n/a | 2014 | 2014 |
In 2014 Pacific Northwest National Laboratory deployed iCIMS Jibe as its Applicant Tracking System. The implementation surfaces iCIMS Jibe on PNNL's public careers portal at https://pnnl.jibeapply.com/jobs where the application handles job postings and online candidate application intake.
The iCIMS Jibe instance is configured to provide core Applicant Tracking System capabilities including career site integration, job requisition publishing, candidate application capture, applicant workflow tracking, resume parsing, screening queues, automated candidate communications, and reporting dashboards. Configuration aligns with typical ATS functional modules for requisition management, candidate routing to hiring managers, and audit-ready application records.
Operational ownership is positioned within PNNL human resources and talent acquisition to manage hiring across laboratory departments and US sites. Governance focuses on centralized recruitment workflows, configurable approval chains for hiring managers, and career site configuration to present public job listings through the iCIMS Jibe platform.
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Applicant Tracking System | HCM |
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2023 | 2023 |
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Core HR | HCM |
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2010 | 2011 |
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Learning and Development | HCM |
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2010 | 2018 |
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Learning and Development | HCM |
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2012 | 2018 |
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ERP Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| IBM | Legacy | IBM Maximo | Enterprise Asset Management | ERP Services and Operations | n/a | 2010 | 2010 |
In 2010 Pacific Northwest National Laboratory deployed IBM Maximo as a core element of a five year, multi-million dollar Enterprise Roadmap initiative to centralize Enterprise Asset Management. The IBM Maximo implementation targeted cross-functional asset and property workflows across the laboratory, positioning the application as the authoritative system for asset and location records.
A technical lead role drove development and deployment activities, developing large portions of a cross-functional Maximo statement of work and capturing business requirements across 18 business functions. The team modeled Property Management process maps to translate operational procedures into Maximo configuration requirements and configured portions of Maximo ERP software to meet those documented business requirements.
Architecturally the implementation emphasized a single source location hierarchy, designed to eliminate multiple location data sources and to provide a consistent location and asset reference for maintenance, tracking, and compliance workflows. The configuration work included data modeling for hierarchical location and asset structures, and alignment of Maximo functional modules to laboratory operational domains within the Enterprise Asset Management scope.
Governance and rollout planning were embedded in the five year roadmap, using the statement of work and captured requirements to sequence deployments and to standardize process maps across business functions. Process mapping and configuration work informed operational changes to workflows and system ownership, establishing Maximo as the central platform for asset lifecycle, property management, and related enterprise processes.
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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Cognitive Computing | AI-Powered Application |
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2024 | 2024 |
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Cognitive Computing | AI-Powered Application |
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2024 | 2024 |
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Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Analytics and BI | Analytics and BI |
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2015 | 2015 |
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Collaboration | Collaboration |
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2017 | 2017 |
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Collaboration | Collaboration |
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2017 | 2017 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Digital Signing | Content Management |
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2022 | 2022 |
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SCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Supply Chain Management | SCM |
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2024 | 2025 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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CRM | CRM |
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2018 | 2018 |
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Marketing Analytics | CRM |
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2019 | 2019 |
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Marketing Automation | CRM |
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2021 | 2021 |
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PPM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Project Portfolio Management | PPM |
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2018 | 2018 |
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TRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Risk Management | TRM |
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2019 | 2020 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Hosting and Computing Services | IaaS |
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2015 | 2015 |
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Backup as a Service (BaaS) | IaaS |
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2018 | 2018 |
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Content Delivery Network | IaaS |
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2020 | 2020 |
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Content Delivery Network | IaaS |
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2018 | 2018 |
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Database Management | IaaS |
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2003 | 2003 |
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Database Management | IaaS |
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2010 | 2010 |
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