London, EC3V 0HR,
United Kingdom
DSP Technographics
DSP Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by DSP and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 600 DSP employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that DSP has purchased the following applications: Oracle DataScience.com Platform for ML and Data Science Platforms in 2020, Hubspot Live Chat for Chatbots and Conversational AI in 2018, Microsoft 365 for Collaboration in 2017 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems DSP is running and its propensity to invest more and deepen its relationship with Oracle , HubSpot , 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 DSP revenues, which have grown to $110.0 million 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 DSP 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.
DSP Tech Stack and Enterprise Applications
DSP AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Oracle | Legacy | Oracle DataScience.com Platform | ML and Data Science Platforms | AI Development | n/a | 2020 | 2020 |
In 2020, DSP implemented Oracle DataScience.com Platform to support a clinical machine learning initiative with the National Institute for Health Research focused on cochlear implant programming. The deployment used Oracle Cloud Infrastructure Data Science, placing the implementation within the ML and Data Science Platforms category, and targeted model development workflows to predict programming adjustments across the early post-implant two year period.
The implementation emphasized a Python based development environment, providing data scientists with open source notebook workflows and full visibility and control over model creation so results would be understandable by the customer. DSP used the Accelerated Data Science toolkit included with Oracle Cloud Infrastructure Data Science to accelerate algorithm selection and guide model exploration during model building and evaluation.
Operationally the platform consumed clinical data collected by the National Institute for Health Research, focusing on the programming sequence that typically requires roughly six updates in the first two years for new recipients. The work supported clinical research teams and programming workflows for cochlear implant recipients, with the stated objectives of reducing clinic visits and lowering the level of expertise required to configure implants.
Governance emphasized model explainability and controlled model creation, enabling clinicians to inspect and understand model outputs before applying recommendations to patient programming workflows. Using Oracle DataScience.com Platform helped the National Institute for Health Research team gain new insights into how it can apply machine learning approaches to this clinical problem, while the Accelerated Data Science toolkit provided additional speed and guidance in model development.
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DSP AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| HubSpot | Legacy | Hubspot Live Chat | Chatbots and Conversational AI | AI-Powered Application | n/a | 2018 | 2018 |
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Chatbots and Conversational AI | AI-Powered Application |
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2018 | 2018 |
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DSP Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft 365 | Collaboration | Collaboration | n/a | 2017 | 2017 |
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DSP Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Web Content Management | Content Management |
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2020 | 2020 |
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DSP 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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Customer Experience | CRM |
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2018 | 2018 |
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Customer Support | CRM |
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2017 | 2017 |
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Digital Advertising Platform | CRM |
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2017 | 2017 |
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Digital Advertising Platform | CRM |
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2019 | 2019 |
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Marketing Analytics | CRM |
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2021 | 2021 |
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Marketing Automation | CRM |
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2024 | 2024 |
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Marketing Automation | CRM |
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2021 | 2021 |
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Marketing Automation, Sales Automation | CRM |
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2023 | 2023 |
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Tag Management | CRM |
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2017 | 2017 |
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DSP PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Transactional Email | PaaS |
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2020 | 2020 |
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DSP 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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2014 | 2014 |
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Application Hosting and Computing Services | IaaS |
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2024 | 2024 |
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Application Hosting and Computing Services | IaaS |
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2023 | 2023 |
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Content Delivery Network | IaaS |
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2022 | 2022 |
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DSP 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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2017 | 2017 |
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IT Decision Makers and Key Stakeholders at DSP
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
Apps Being Evaluated by DSP Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||