AI Buyer Insights:

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

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.
SciSports Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Google 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.
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.
Marketing Automation CRM 2019 2019
Marketing Automation CRM 2021 2021
Sales Automation, CRM, Sales Engagement CRM 2021 2021
SciSports IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2021 2021
Application Hosting and Computing Services IaaS 2017 2017
Application Hosting and Computing Services IaaS 2021 2021
Content Delivery Network IaaS 2015 2015

IT Decision Makers and Key Stakeholders at SciSports

First Name Last Name Title Function Department Email Phone
Founder & Chief Innovation Officer CXO Finance
CTO CXO Finance

Apps Being Evaluated by SciSports Executives

APPS RUN THE WORLD tracks software evaluation trends across 2 million companies worldwide, including buyer insights from SciSports IT executives and key decision makers. As part of ARTW Buyer Intent and technographics insights, these findings provide useful visibility into the SciSports digital transformation priorities and AI adoption trends.
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD SciSports Technographics
SciSports is a Leisure and Hospitality organization based in Netherlands, with around 41 employees and annual revenues of $4.0 million.
SciSports operates a diverse technology stack with applications such as SAS Visual Data Mining and Machine Learning, Google Workspace (Formerly Google G-Suite) and Hubspot CRM, covering areas like ML and Data Science Platforms, Collaboration and CRM.
SciSports has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as SAS Institute, Google and HubSpot.
SciSports recently adopted applications including Hubspot CRM in 2021, Hubspot Marketing Automation in 2021 and Salesforce Sales Cloud in 2021, highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of SciSports’s key decision makers and IT executives, available to Premium subscribers.
Our research team continuously updates SciSports’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.
Subscribe to APPS RUN THE WORLD to access the complete SciSports technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.