London, EC4M 9BT,
United Kingdom
Financial Times Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Financial Times and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 2300 Financial Times employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Financial Times has purchased the following applications: Oracle E-Business Suite for ERP Financial in 2011, Greenhouse ATS for Applicant Tracking System in 2019, Graphwise for Natural Language Processing in 2014 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Financial Times is running and its propensity to invest more and deepen its relationship with Oracle , Apple , Klarna 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 Financial Times revenues, which have grown to $480.0 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 Financial Times 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.
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.
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Expense Management | ERP Financial Management |
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2013 | 2013 |
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Payment Processing | ERP Financial Management |
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2020 | 2020 |
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Payment Processing | ERP Financial Management |
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2020 | 2020 |
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Payment Processing | ERP Financial Management |
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2020 | 2020 |
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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.
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Core HR | HCM |
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2016 | 2016 |
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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.
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Audio Video and Web Conferencing | Collaboration |
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2017 | 2017 |
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Audio Video and Web Conferencing | Collaboration |
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2018 | 2018 |
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Collaboration | Collaboration |
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2016 | 2016 |
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eCommerce
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Shipping Management | eCommerce |
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2020 | 2020 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Customer Experience | CRM |
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2018 | 2018 |
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Customer Experience | CRM |
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2019 | 2019 |
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Data Management Platform | CRM |
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2016 | 2016 |
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Data Management Platform | CRM |
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2020 | 2020 |
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Digital Advertising Platform | CRM |
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2018 | 2018 |
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Marketing Analytics | CRM |
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2014 | 2014 |
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Marketing Analytics | CRM |
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2018 | 2018 |
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Marketing Analytics | CRM |
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2017 | 2017 |
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Marketing Automation | CRM |
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2017 | 2017 |
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Marketing Automation | CRM |
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2016 | 2016 |
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Marketing Automation | CRM |
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2016 | 2016 |
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Marketing Automation | CRM |
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2019 | 2019 |
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Sales Automation, CRM, Sales Engagement | CRM |
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2012 | 2012 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Incident Management | ITSM |
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2018 | 2018 |
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IT Service Management | ITSM |
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2019 | 2019 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Apps Development | PaaS |
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2020 | 2020 |
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Transactional Email | PaaS |
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2018 | 2018 |
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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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2020 | 2020 |
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Application Hosting and Computing Services | IaaS |
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2016 | 2016 |
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Application Hosting and Computing Services | IaaS |
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2018 | 2018 |
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Cloud Storage | IaaS |
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2017 | 2017 |
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Content Delivery Network | IaaS |
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2021 | 2021 |
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Content Delivery Network | IaaS |
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2016 | 2016 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Identity and Access Management (IAM) | CyberSecurity |
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2021 | 2021 |
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