Munich, 81669,
Germany
GreenCom Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by GreenCom and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 50 GreenCom employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that GreenCom has purchased the following applications: IBM Analytics for Apache Spark (Managed Cloud Spark Service) for ML and Data Science Platforms in 2016, Microsoft 365 for Collaboration in 2018, Usercentrics Consent Management Platform (CMP) for Governance, Risk and Compliance in 2020 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems GreenCom is running and its propensity to invest more and deepen its relationship with IBM , Microsoft , Usercentrics 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 GreenCom revenues, which have grown to $10.0 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 GreenCom 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.
AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| IBM | Legacy | IBM Analytics for Apache Spark (Managed Cloud Spark Service) | ML and Data Science Platforms | AI Development | n/a | 2016 | 2016 |
In 2016, GreenCom implemented IBM Analytics for Apache Spark (Managed Cloud Spark Service) as its primary ML and Data Science Platforms capability to support streaming analytics on its cloud-based data streams. GreenCom is a Germany-based professional services firm with 50 employees, and the company already uses Apache Spark to analyze data as it streams into the cloud platform while working closely with IBM to integrate with IBM Cloud and SoftLayer.
The deployment leverages the managed cloud Spark service to provision Spark clusters and centralize in-memory processing for both real-time and micro-batch data science workflows. IBM Analytics for Apache Spark (Managed Cloud Spark Service) was configured to support streaming analytics, distributed model development and training, and interactive exploratory analysis, aligning core ML and Data Science Platforms functionality such as distributed processing, iterative model scoring, and notebook-driven experimentation.
Integrations explicitly include IBM Cloud and SoftLayer for compute and storage orchestration, and the implementation ingests telemetry and event streams into the Spark-based pipeline. Operational scope focuses on data engineering, analytics and product engineering teams at GreenCom, with governance coordinated through close collaboration with IBM and a phased expansion of Spark usage as IBM continues to invest in the open source Spark project.
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft 365 | Collaboration | Collaboration | n/a | 2018 | 2018 |
|
TRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Usercentrics | Legacy | Usercentrics Consent Management Platform (CMP) | Governance, Risk and Compliance | TRM | n/a | 2020 | 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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2014 | 2014 |
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Application Hosting and Computing Services | IaaS |
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2017 | 2017 |
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