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Celgene Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Celgene and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 8852 Celgene employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Celgene has purchased the following applications: SAP Concur Expense for Expense Management in 2012, Lattice Engagement for Employee Engagement in 2015, Amazon SageMaker for ML and Data Science Platforms in 2016 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Celgene is running and its propensity to invest more and deepen its relationship with SAP , Lattice , Workday 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 Celgene revenues, which have grown to $15.28 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 Celgene 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 |
|---|---|---|---|---|---|---|---|---|
| SAP | Legacy | SAP Concur Expense | Expense Management | ERP Financial Management | n/a | 2012 | 2012 |
In 2012, Celgene implemented SAP Concur Expense in an Expense Management deployment to centralize travel and expense workflows for its pharmaceutical sciences organization. The deployment targeted preparation, processing, and filing of expense reports for VP of Pharmaceutical Science, Executive Director of AR&D, Director of Formulations, Associate Director of QC, and other departmental leaders.
SAP Concur Expense was configured to support core expense reporting, executive travel booking and accommodation workflows, and scheduling of staff and conference room usage. The implementation emphasized role-based expense report creation and routing for senior leaders, aligning expense capture with department-level travel and facilities coordination.
Integrations were explicit to the extent of the source data, Celgene used Oracle software alongside Concur for expense processing and reporting, and Concur was used with American Express for travel arrangement and accommodation for executive leaders. These connections linked expense records, card-based travel charges, and booking data to a single Expense Management process.
Operational governance centered on departmental finance and travel operations within the pharmaceutical sciences organization, with configured approval routing and expense filing practices for executive roles. The program standardized travel and expense workflows across the specified executive population while also incorporating scheduling workflows for staff and conference room usage.
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HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Lattice | Legacy | Lattice Engagement | Employee Engagement | HCM | n/a | 2015 | 2015 |
In 2015, Celgene implemented Lattice Engagement, an Employee Engagement application used by its HR and People teams. The deployment was provisioned as a hosted Lattice instance surfaced on Celgene's employee-facing site at celgene.latticehq.com, providing a centralized entry point for employees and managers across the organization of roughly 8,852 people.
The Lattice Engagement implementation focused on standard Employee Engagement capabilities, including continuous feedback workflows, pulse surveys, performance review cycles, and engagement analytics to instrument workforce sentiment and manager coaching. Governance and operational ownership were positioned within HR and People Operations, with role based access controls and configured review cadence and feedback workflows to align manager and employee processes. The deployment emphasized integration readiness with core HR processes and directory services consistent with Employee Engagement implementations, while the live instance on Celgene's site served as the primary access and engagement surface.
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Recruiting, Applicant Tracking System | HCM |
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2015 | 2015 |
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Time and Attendance | HCM |
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2010 | 2010 |
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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| Amazon Web Services (AWS) | Legacy | Amazon SageMaker | ML and Data Science Platforms | AI Development | n/a | 2016 | 2017 |
In 2016, Celgene deployed Amazon SageMaker to accelerate drug analysis and validation. Celgene configured Amazon SageMaker within its ML and Data Science Platforms to centralize model development for discovery and validation workflows.
The implementation emphasized managed Jupyter notebooks for exploratory analysis, distributed managed training for large scale model construction, automatic model tuning for hyperparameter optimization, and hosted endpoints for real time and batch inference. Deployment patterns used containerized training jobs and elastic GPU-backed instances to scale compute during model training, and experiment tracking and artifact management features were applied to enforce reproducibility.
Operational scope covered research and development, data science, and bioinformatics teams responsible for molecular profiling, predictive assays, and validation pipelines. The deployment integrated Amazon SageMaker with internal research datasets and existing validation workflows to operationalize models into analysis pipelines. The stated outcome was to expedite drug analysis and validation through a standardized ML and model lifecycle platform.
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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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2012 | 2018 |
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Audio Video and Web Conferencing | Collaboration |
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2019 | 2019 |
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Audio Video and Web Conferencing | Collaboration |
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2017 | 2017 |
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Audio Video and Web Conferencing | Collaboration |
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2020 | 2020 |
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Collaboration | Collaboration |
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2018 | 2018 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Digital Asset Management | Content Management |
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2021 | 2021 |
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Digital Signing | Content Management |
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2020 | 2020 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Customer Engagement | CRM |
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2019 | 2019 |
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Partner Relationship Management | CRM |
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2018 | 2018 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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IT Service Management | ITSM |
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2018 | 2018 |
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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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2020 | 2020 |
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Project Portfolio Management | PPM |
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2015 | 2015 |
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Procurement
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Procurement | Procurement |
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2014 | 2014 |
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Procurement | Procurement |
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2016 | 2016 |
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Supplier Relationship Management | Procurement |
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2016 | 2016 |
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Supplier Relationship Management | Procurement |
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2014 | 2014 |
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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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2017 | 2017 |
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Content Delivery Network | IaaS |
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2021 | 2021 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Secure Email Gateways (SEGs) | CyberSecurity |
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2014 | 2014 |
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