Technische Universitat Berlin Germany Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Technische Universitat Berlin Germany and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 7000 Technische Universitat Berlin Germany employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Technische Universitat Berlin Germany has purchased the following applications: Moodle LMS for Learning and Development in 2015, Stellenticket Congeno CRM for CRM in 2010, Genetec KiwiVision for Video Surveillance System in 2019 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Technische Universitat Berlin Germany is running and its propensity to invest more and deepen its relationship with Moodle , Stellenticket , Genetec 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 Technische Universitat Berlin Germany revenues, which have grown to $550.0 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 Technische Universitat Berlin Germany 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.
HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Moodle | Legacy | Moodle LMS | Learning and Development | HCM | n/a | 2015 | 2015 |
|
CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Stellenticket | Legacy | Stellenticket Congeno CRM | CRM | CRM | n/a | 2010 | 2010 |
In 2010, Technische Universitat Berlin implemented Stellenticket Congeno CRM, deploying the application as its campus-wide CRM. The vendor describes use across multiple campus areas in Germany, specifically supporting events, alumni and internal job postings.
The deployment used Stellenticket Congeno CRM capabilities to manage constituent records and program-specific portals, with configuration focused on contact and constituency management, event management and alumni engagement workflows. Implementation included event registration and attendee tracking workflows, content-driven alumni portals and internal vacancy publication workflows consistent with Congeno product functionality and CRM operational patterns.
Operational scope covered events offices, alumni relations and internal recruitment stakeholders across TU Berlin campus sites, with rollout organized by campus area and functional ownership maintained to align CRM-driven outreach and content publication. Governance emphasized centralized data stewardship and workflow orchestration to support multi-area usage while retaining campus-level configuration control.
|
Physical Security
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Genetec | Legacy | Genetec KiwiVision | Video Surveillance System | Physical Security | n/a | 2019 | 2019 |
In 2019, Technische Universitat Berlin Germany selected Genetec KiwiVision as a Video Surveillance System to support research and operations in its Distributed Artificial Intelligence Laboratory. The deployment targeted projects and testbeds to meet capture and identification requirements and to support mobility and network research.
Implementation centered on Genetec KiwiVision analytics, leveraging vendor-described video-analytics capabilities for capture, identification, detection and tracking across camera feeds. Configuration work emphasized analytics parameter tuning and camera feed calibration to enable repeatable experiments and evaluation of video analytics capabilities, with functional scope covering analytics ingestion, event generation, and stream-level monitoring to support research instrumentation.
Operational coverage remained focused on the Distributed Artificial Intelligence Laboratory and associated testbeds within Germany, deployed for research and operations use rather than enterprise-wide security operations. Governance and workflows were organized around project-level testbed instrumentation and experimental evaluation, reflecting the vendor-cited selection of KiwiVision analytics by DAI to evaluate video-analytics capabilities.
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