AI Buyer Insights:

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Scene+ Data, Technology Stack, and Enterprise Applications
HCM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Employ Legacy JazzHR by Employ Recruiting, Applicant Tracking System HCM n/a 2019 2019
Recruiting, Applicant Tracking System HCM 2022 2022
AI Development
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Snowflake Legacy Snowflake ML ML and Data Science Platforms AI Development n/a 2024 2024
In 2024, Scene+ implemented Snowflake ML to productionize CRM and loyalty models for its Canadian loyalty program. The deployment used Snowflake ML within the ML and Data Science Platforms category to centralize model development, versioning and production scoring for more than 30 models. Development and operational tooling centered on Snowflake ML components, including notebooks for exploratory and reproducible development, a feature store to enforce consistent feature engineering, a model registry for version control and deployment metadata, and ML observability for monitoring model behavior in production. This configuration removed the need for cross-platform data movement by keeping training, feature materialization and scoring inside the Snowflake environment, and pipelines were configured to support repeatable training and promotion workflows. Integration scope focused on CRM and loyalty data pipelines, with production scoring surfaced to loyalty operations and analytics teams supporting campaign and member lifecycle use cases across Canada. Operational coverage encompassed model development, validation and production hosting for loyalty use cases rather than exporting data and models to external ML tooling. Governance leveraged the model registry and ML observability to enforce version control, deployment approvals and monitoring workflows during staged rollouts to production. The deployment reduced time-to-production by over 60% and lowered costs by more than 35% across 30+ models, outcomes reported by the implementation team.
Analytics and BI
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Alteryx Legacy Alteryx One Platform Analytics and BI Analytics and BI n/a 2016 2016
Analytics and BI Analytics and BI 2020 2020
Analytics and BI Analytics and BI 2020 2020
Data Warehouse Analytics and BI 2020 2020
Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Collaboration Collaboration 2021 2021
Content Management
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Content Management Content Management 2020 2020
CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
CRM CRM 2019 2019
Customer Data Platform CRM 2020 2020
Customer Engagement CRM 2019 2019
Customer Loyalty CRM 2018 2018
Customer Support CRM 2022 2022
Marketing Automation CRM 2017 2017
Marketing Automation CRM 2020 2020
Partner Relationship Management CRM 2019 2019
Tag Management CRM 2023 2023
PPM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Project Portfolio Management PPM 2020 2020
Project Portfolio Management PPM 2020 2020
PaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Transactional Email PaaS 2021 2021
IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2021 2021
Content Delivery Network IaaS 2022 2022
Content Delivery Network IaaS 2022 2022
Database Management IaaS 2020 2020
CyberSecurity
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Secure Email Gateways (SEGs) CyberSecurity 2021 2021
Web Application Firewalls (WAF) CyberSecurity 2023 2023
IT Decision Makers and Key Stakeholders at Scene+
First Name Last Name Title Function Department Email Phone
No data found
Apps Being Evaluated by Scene+ Executives
Date Company Status Vendor Product Category Market
No data found
FAQ - APPS RUN THE WORLD Scene+ Technographics

Scene+ is a Professional Services organization based in Canada, with around 60 employees and annual revenues of $8.0 million.

Scene+ operates a diverse technology stack with applications such as JazzHR by Employ, Snowflake ML and Alteryx One Platform, covering areas like Recruiting, Applicant Tracking System, ML and Data Science Platforms and Analytics and BI.

Scene+ has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Employ, Snowflake and Alteryx.

Scene+ recently adopted applications including Snowflake ML in 2024, Google Tag Manager in 2023 and Imperva Sonar in 2023, highlighting its ongoing modernization strategy.

APPS RUN THE WORLD maintains an up-to-date database of Scene+’s key decision makers and IT executives, available to Premium subscribers.

Our research team continuously updates Scene+’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 Scene+ technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.