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SciSports Technographics
SciSports Technographics, Software Purchases, AI and Digital Transformation Initiatives
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.
SciSports Tech Stack and Enterprise Applications
SciSports 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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SciSports 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 |
In 2015, SciSports implemented Google Workspace (Formerly Google G-Suite) as its Collaboration platform. The implementation is referenced on the SciSports website, indicating company-wide use of Google Workspace (Formerly Google G-Suite) for core communications and content workflows. SciSports leverages Google Workspace to support business functions of team communication, document collaboration, and scheduling across the organization.
The deployment uses the cloud-native Google Workspace architecture with centralized domain administration through the Google Admin Console, including user and group provisioning and role-based access controls common to Collaboration deployments. Functional capabilities in use include enterprise email, shared Drive storage, real-time document editing with Docs, Calendar scheduling, and Meet conferencing, aligned to internal collaboration and productivity workflows. Governance and operational controls are organized around centralized account management and access policies applied across SciSports teams.
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SciSports CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| HubSpot | Legacy | Hubspot CRM | CRM | CRM | n/a | 2021 | 2021 |
In 2021, SciSports implemented Hubspot CRM. The Netherlands-based leisure and hospitality analytics provider instrumented Hubspot on their website to centralize inbound contact capture and basic customer records within a single CRM, aligning the deployment to the CRM category for commercial and marketing workflows.
Hubspot CRM was configured to capture web leads, create contact and company records, and stage opportunities in a sales pipeline. The deployment included Hubspot forms and tracking on the public site, and setup of email sequences and contact property schemas to support lead qualification and lifecycle stages. For a company of 41 employees the configuration emphasized lightweight automation, shared contact ownership, and simplified pipeline management.
Operational coverage focused on marketing and sales teams using Hubspot CRM as the single source for lead to deal progression and customer engagement history. The website integration is the primary named connector, with tracking scripts and embedded forms feeding contacts directly into Hubspot CRM and triggering workflow actions. Day to day usage emphasized contact enrichment, lead assignment, and pipeline visibility.
Governance introduced standardized pipeline stages and CRM ownership rules to ensure consistent lead follow up and reporting. Processes were restructured around centralized contact records and automated lifecycle updates within Hubspot CRM to reduce manual handoffs and improve data consistency.
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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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SciSports 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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IT Decision Makers and Key Stakeholders at SciSports
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| Founder & Chief Innovation Officer | CXO | Finance | ||||
| CTO | CXO | Finance |
Apps Being Evaluated by SciSports Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||