Defence Science and Technology Laboratory Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Defence Science and Technology Laboratory and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 4000 Defence Science and Technology 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 Defence Science and Technology Laboratory has purchased the following applications: Oracle Cloud ERP for ERP Financial in 2020, Oracle Cloud HCM for Core HR in 2020, Ruby Live Chat for Chatbots and Conversational AI in 2021 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Defence Science and Technology Laboratory is running and its propensity to invest more and deepen its relationship with Oracle , Ruby , Microsoft 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 Defence Science and Technology Laboratory revenues, which have grown to $1.00 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 Defence Science and Technology 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 | Oracle PeopleSoft ERP | Oracle Cloud ERP | ERP Financial | ERP Financial Management | Frontera Consulting | 2020 | 2021 |
In 2020, Defence Science and Technology Laboratory implemented Oracle Cloud ERP as its ERP Financial platform. The program was executed with Frontera Consulting as the system integrator and migrated a customised, on-premise instance of Oracle PeopleSoft ERP to Oracle Cloud ERP Fusion.
The implementation centered on core ERP Financial capabilities, with configuration work spanning General Ledger, Accounts Payable, Accounts Receivable, Fixed Assets, and project financial controls aligned with Oracle Project Management Cloud responsibilities. The Oracle Cloud ERP application was configured to support financial ledgers, subledgers, intercompany processing, and project cost tracking, reflecting standard ERP Financial functional workflows.
Data migration and cutover focus addressed extraction and transformation of customised PeopleSoft schemas into Oracle Cloud formats, with the engagement explicitly including requirements gathering, system design, configuration and system testing activities. The project included structured system testing cycles and supporting data migration tasks led by the Oracle Project Management Cloud lead role.
Governance and delivery were organized around the Frontera team model, with the Oracle Project Management Cloud lead accountable for end to end requirements gathering, solution design, configuration, testing and data migration support. Operational ownership was positioned within Defence Science and Technology Laboratory finance and project finance functions, with the implementation designed to centralize financial processing and project financial controls under Oracle Cloud ERP.
|
HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Oracle | Legacy | Oracle Cloud HCM | Core HR | HCM | Frontera Consulting | 2020 | 2021 |
In 2020, Defence Science and Technology Laboratory implemented Oracle Cloud HCM. The Oracle Cloud HCM deployment targeted Core HR and centralized HR, talent, and learning workflows across the organization of approximately 4,000 employees in the United Kingdom.
The implementation encompassed Oracle Learning Cloud and Oracle Talent Management, with configuration work addressing Profile Management, Performance Management, Goals Management, and Succession Planning. Oracle Learning Cloud and the talent modules were configured to maintain unified worker profiles, orchestrate performance cycles, manage goal cascading, and support succession frameworks consistent with Core HR and talent management processes.
The solution was provisioned as part of the Oracle Fusion HCM suite, aligning learning and talent workflows with core employee records and HR processes. Operational coverage focused on HR, Learning and Development, and talent functions within Defence Science and Technology Laboratory, with the Oracle Learning Cloud integrated functionally into the Core HR application to unify learning records and talent profiles.
Frontera Consulting served as the system integrator on the program, with a designated Lead Oracle Fusion HCM Consultant who held Security Clearance and led the Oracle Learning Cloud and talent module rollouts. The lead consultant worked on the engagement from Feb 2021 to Aug 2022 remotely, overseeing configuration, module implementations, and delivery governance for the Oracle Cloud HCM program.
|
|
|
|
|
Learning and Development | HCM |
|
2020 | 2021 |
|
|
|
|
|
Performance and Goal Management | HCM |
|
2020 | 2021 |
|
|
|
|
|
Succession and Leadership Planning | HCM |
|
2020 | 2021 |
|
AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Ruby | Legacy | Ruby Live Chat | Chatbots and Conversational AI | AI-Powered Application | n/a | 2021 | 2021 |
In 2021, the Defence Science and Technology Laboratory implemented Ruby Live Chat on its public website. The Ruby Live Chat deployment delivers Chatbots and Conversational AI capabilities to handle citizen-facing enquiries and real-time web-based engagement, positioning Ruby Live Chat as the primary conversational channel for site visitors and public interaction.
The implementation is delivered as a web-embedded chat interface providing standard Chatbots and Conversational AI workflows, including real-time messaging, conversational routing, session transcript capture and escalation to human agents where required. Operational coverage is the public-facing website, with the system aligned to support enquiry triage, web engagement and live support workflows, and managed within existing web operations and contact handling processes.
|
Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Analytics and BI | Analytics and BI |
|
2019 | 2019 |
|
|
|
|
|
Data Warehouse | Analytics and BI |
|
2019 | 2019 |
|
CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Marketing Automation | CRM |
|
2017 | 2017 |
|
ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
IT Service Management | ITSM |
|
2019 | 2019 |
|
Procurement
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Procurement | Procurement |
|
2019 | 2020 |
|
IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2017 | 2017 |
|
|
|
|
|
Content Delivery Network | IaaS |
|
2021 | 2021 |
|
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||