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SciSports Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by SciSports and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 41 SciSports employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that SciSports has purchased the following applications: SAS Visual Data Mining and Machine Learning for ML and Data Science Platforms in 2017, Google Workspace (Formerly Google G-Suite) for Collaboration in 2015, Hubspot CRM for CRM 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 SciSports is running and its propensity to invest more and deepen its relationship with SAS Institute , Google , HubSpot 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 SciSports revenues, which have grown to $4.0 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 SciSports 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 |
|---|---|---|---|---|---|---|---|---|
| SAS Institute | Legacy | SAS Visual Data Mining and Machine Learning | ML and Data Science Platforms | AI Development | n/a | 2017 | 2018 |
In 2017, SciSports deployed SAS Visual Data Mining and Machine Learning to operationalize BallJames, its 3D player tracking and rendering pipeline. SciSports used SAS Visual Data Mining and Machine Learning as an ML and Data Science Platforms application to drive deep learning based image recognition and 3D production workflows for sports analytics.
The implementation centered on model lifecycle capabilities, including in memory training of convolutional neural networks and production inferencing for object classification that distinguishes players, referees and the ball. Functional modules implemented included deep learning model training, model scoring and management, and image recognition pipelines tailored to sequential camera feeds.
SAS Event Stream Processing was used to enable real time image recognition, and models were trained in memory on SAS Viya with the flexibility to train in the cloud, on cameras or where compute resources existed. The architecture supported pushing trained models onto cameras for edge inferencing while retaining a uniform platform for cloud based training and centralized model management, preserving both streaming ingestion and low latency scoring.
Operational governance consolidated model orchestration and the 3D production chain under a single platform to standardize deployment and monitoring. Program stakeholders characterized the ability to deploy deep learning models in memory onto cameras and perform inferencing in real time as cutting edge science, and stated that without SAS Viya, this project would not be possible.
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Workspace (Formerly Google G-Suite) | Collaboration | Collaboration | n/a | 2015 | 2015 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| HubSpot | Legacy | Hubspot CRM | CRM | CRM | n/a | 2021 | 2021 |
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Marketing Automation | CRM |
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2019 | 2019 |
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Marketing Automation | CRM |
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2021 | 2021 |
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Sales Automation, CRM, Sales Engagement | CRM |
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2021 | 2021 |
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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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2017 | 2017 |
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Application Hosting and Computing Services | IaaS |
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2021 | 2021 |
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Content Delivery Network | IaaS |
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2015 | 2015 |
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