Brussels, 1200,
Belgium
SPG Dry Cooling Belgium BV Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by SPG Dry Cooling Belgium BV and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 175 SPG Dry Cooling Belgium BV employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that SPG Dry Cooling Belgium BV has purchased the following applications: SAS Asset Performance Analytics for Asset Performance Management in 2017, LiveChat for Chatbots and Conversational AI in 2019, Microsoft 365 for Collaboration 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 SPG Dry Cooling Belgium BV is running and its propensity to invest more and deepen its relationship with SAS Institute , LiveChat, Inc. , 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 SPG Dry Cooling Belgium BV revenues, which have grown to $48.0 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 SPG Dry Cooling Belgium BV 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 Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| SAS Institute | Legacy | SAS Asset Performance Analytics | Asset Performance Management | ERP Services and Operations | n/a | 2017 | 2018 |
In 2017 SPG Dry Cooling Belgium BV implemented SAS Asset Performance Analytics as its central Asset Performance Management capability to predict and optimize the performance of its air cooled condensers and to support energy production forecasting for power plants. The deployment established advanced analytics as a core function for aftersales and engineering, enabling the company to move from equipment vendor interactions to long term operational partnerships with power plant operators.
The implementation centered on a digital twin and predictive analytics stack within SAS Asset Performance Analytics, including asset health modeling, forecasting of plant capacity, and predictive maintenance workflows. Models consume large volumes of sensor telemetry and operational parameters to capture environmental drivers such as ambient temperature and wind, and they are configured to scale across multiple condenser installations to improve prediction precision.
Operationally the solution ingests IoT sensor streams from SPG Dry Cooling installations at power plants around the world and aggregates fleet level data to support site level forecasts and cross site benchmarking. Analytics outputs are used by operations and maintenance teams to inform cleaning schedules, to forecast 24 hour capacity, and to provide engineering feedback for future condenser design improvements.
Governance and process adaptation included close collaboration between thermal engineering and data science teams to translate domain physics into robust analytic models and to embed analytical outputs into maintenance planning and customer advisory processes. The SAS Asset Performance Analytics implementation explicitly targeted improved power plant efficiency, reduced unplanned outages through better maintenance planning, and enhanced forecasting of power plant capacity, while also creating a new feedback loop for product development and customer engagement.
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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| LiveChat, Inc. | Legacy | LiveChat | Chatbots and Conversational AI | AI-Powered Application | n/a | 2019 | 2019 |
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft 365 | Collaboration | Collaboration | n/a | 2019 | 2019 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Customer Experience | CRM |
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2020 | 2020 |
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Marketing Automation | CRM |
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2020 | 2020 |
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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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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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2021 | 2021 |
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Application Hosting and Computing Services | IaaS |
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2019 | 2019 |
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Content Delivery Network | IaaS |
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2020 | 2020 |
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