AI Buyer Insights:

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

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

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

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

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

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Financial Times Data, Technology Stack, and Enterprise Applications
ERP Financial Management
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Oracle Legacy Oracle E-Business Suite ERP Financial ERP Financial Management n/a 2011 2012
In 2011, Financial Times implemented Oracle E-Business Suite as the core platform for its ERP Financial environment, with explicit support for Oracle R12 E-Business Suite and Oracle IPM. The deployment focuses on finance domain coverage and is positioned to support the FT finance community and broader business users across the organisation. The implementation centers on Oracle E-Business Suite financial capabilities, including standard ERP Financial workflows for general ledger consolidation, accounts payable, accounts receivable, fixed assets and month end close orchestration. Oracle IPM is used to manage document imaging and finance document lifecycles, and the environment is configured to enforce schedule of authority controls and role based user access for starters, leavers and role changes. Operational support is tightly integrated with the FT finance community, FT business users and the FT third party integration partner who provides technical infrastructure and second line functional support and services. Day to day operations include incident triage and user management, logging incidents in the HC Managed Services incident management tool, and escalation paths to the FSS team lead, FT IT function, Hitachi Managed Services or other third party vendors as required. Governance and run governance follow defined procedures to support BAU activities and the FT Month End Finance Calendar, with participation in scheduled Finance Systems team and Systems Enhancement meetings. Support responsibilities include maintaining procedural documentation, contributing to team FAQs, applying incident severity definitions in triage, and recommending process improvements to enhance operational support and compliance with finance controls.
Expense Management ERP Financial Management 2013 2013
Payment Processing ERP Financial Management 2020 2020
Payment Processing ERP Financial Management 2020 2020
Payment Processing ERP Financial Management 2020 2020
HCM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Greenhouse Workday Recruiting Greenhouse ATS Applicant Tracking System HCM n/a 2019 2019
In 2019, Financial Times implemented Greenhouse ATS, an Applicant Tracking System. The deployment replaced Workday Recruiting and was surfaced on the Financial Times website to host job postings and capture candidate applications directly through the careers pages. Greenhouse ATS was provisioned as a cloud-hosted recruiting platform configured to support requisition workflows, job posting, candidate tracking, interview scheduling, and offer management. The configuration leveraged Greenhouse ATS features such as structured interview kits, scorecards, and pipeline visualization to standardize end-to-end recruiting processes used by internal talent acquisition teams. The full application name Greenhouse ATS is used on the public careers board that collects applications. Operational scope covered Financial Times talent acquisition and HR recruiting functions, consolidating hiring activity across the organization. The Greenhouse ATS instance was integrated with the Financial Times website careers pages to present live job listings and route candidate submissions into the system for review and processing. Governance was organized around centralized recruiting workflows and hiring manager approval paths, with role-based permissions configured in Greenhouse ATS to control access to candidate data and hiring stages. The implementation emphasized standardized candidate evaluation and traceability of hiring decisions through the Applicant Tracking System.
Core HR HCM 2016 2016
AI-Powered Application
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Graphwise Legacy Graphwise Natural Language Processing AI-Powered Application n/a 2014 2015
In 2014, Financial Times implemented Graphwise as a Natural Language Processing platform. Ontotext worked with Financial Times to rebuild a semantic backend in the United Kingdom, concentrating the engagement on media and publishing use cases around semantic search and recommendation capabilities. The implementation of Graphwise delivered core Natural Language Processing functions including semantic search, content recommendation and personalization features, ontology and taxonomy management, and entity extraction pipelines. Graphwise was configured to power semantic indexing and to expose recommendation endpoints that support editorial discovery and reader personalization, aligning with typical NLP semantic graph architectures. Deployment integrated the Graphwise semantic backend with Financial Times content stores and publishing workflows to surface recommendations within reader-facing channels and editorial tools. Operational coverage included editorial and product teams within the UK publishing operation, with the Graphwise Natural Language Processing platform serving as the semantic layer for content metadata and recommendation delivery. Governance work included establishing taxonomy ownership and recommendation rule workflows to guide editorial oversight and algorithmic curation. The engagement explicitly produced content recommendations to improve discoverability and personalization, implemented through the Graphwise Natural Language Processing deployment.
Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Audio Video and Web Conferencing Collaboration 2017 2017
Audio Video and Web Conferencing Collaboration 2018 2018
Collaboration Collaboration 2016 2016
eCommerce
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Shipping Management eCommerce 2020 2020
CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Customer Experience CRM 2018 2018
Customer Experience CRM 2019 2019
Data Management Platform CRM 2016 2016
Data Management Platform CRM 2020 2020
Digital Advertising Platform CRM 2018 2018
Marketing Analytics CRM 2014 2014
Marketing Analytics CRM 2018 2018
Marketing Analytics CRM 2017 2017
Marketing Automation CRM 2017 2017
Marketing Automation CRM 2016 2016
Marketing Automation CRM 2016 2016
Marketing Automation CRM 2019 2019
Sales Automation, CRM, Sales Engagement CRM 2012 2012
ITSM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Incident Management ITSM 2018 2018
IT Service Management ITSM 2019 2019
PaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Apps Development PaaS 2020 2020
Transactional Email PaaS 2018 2018
IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2020 2020
Application Hosting and Computing Services IaaS 2016 2016
Application Hosting and Computing Services IaaS 2018 2018
Cloud Storage IaaS 2017 2017
Content Delivery Network IaaS 2021 2021
Content Delivery Network IaaS 2016 2016
CyberSecurity
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Identity and Access Management (IAM) CyberSecurity 2021 2021
IT Decision Makers and Key Stakeholders at Financial Times
First Name Last Name Title Function Department Email Phone
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Apps Being Evaluated by Financial Times Executives
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD Financial Times Technographics

Financial Times is a Media organization based in United Kingdom, with around 2300 employees and annual revenues of $480.0 million.

Financial Times operates a diverse technology stack with applications such as Oracle E-Business Suite, Greenhouse ATS and Graphwise, covering areas like ERP Financial, Applicant Tracking System and Natural Language Processing.

Financial Times has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Oracle, Greenhouse and Graphwise.

Financial Times recently adopted applications including Fastly in 2021, Okta Identity Cloud in 2021 and Apple Pay in 2020, highlighting its ongoing modernization strategy.

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

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