New York, 10036, NY,
United States
The Wall Street Journal Technographics
The Wall Street Journal Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by The Wall Street Journal and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 5000 The Wall Street Journal employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that The Wall Street Journal has purchased the following applications: SAP Concur Expense for Expense Management in 2005, Examination Online LMS for Learning and Development in 2021, Vidora Cortex for ML and Data Science Platforms in 2019 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems The Wall Street Journal is running and its propensity to invest more and deepen its relationship with SAP , PayPal , Examination Online 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 The Wall Street Journal revenues, which have grown to $900.0 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 The Wall Street Journal 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.
The Wall Street Journal Tech Stack and Enterprise Applications
ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| SAP | Legacy | SAP Concur Expense | Expense Management | ERP Financial Management | n/a | 2005 | 2005 |
In 2005, The Wall Street Journal implemented SAP Concur Expense for Expense Management in its back office to centralize electronic expense processing. The deployment focused on automating expense reporting workflows and establishing a controlled intake for remittance and file feeds across financial partners.
SAP Concur Expense was configured to handle expense reporting, remittance file feeds, and electronic extracts into downstream systems, with specific attention to FTP and SFTP ingestion points. The implementation included configuration of automated file parsing and mapping for vendor remittances and employee expense data, aligning with Expense Management functional workflows.
Integrations were executed using SFTP and SIFT channels for remittance and file feeds to third parties such as American Express, CitiBank, HRG and Concur, and electronic extracts were delivered via FTP into the Concur Expense system and PeopleSoft applications. These integration touchpoints supported cross-system data flows between SAP Concur Expense and PeopleSoft for HR and payroll related records.
Governance emphasized enforcement of internal policies and best practices, with explicit compliance controls for SOX alongside adherence to applicable local and global laws and regulations. Operational ownership remained with back office teams responsible for file feed management, exception handling, and maintaining the electronic transition interfaces.
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Payment Processing | ERP Financial Management |
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2015 | 2015 |
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HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Examination Online | Legacy | Examination Online LMS | Learning and Development | HCM | n/a | 2021 | 2021 |
In 2021, The Wall Street Journal implemented Examination Online LMS as the WSJ Weekly News Quiz App to deliver education-focused e-learning and assessment content. The US-targeted implementation integrated Wall Street Journal materials into higher-education coursework and subscription flows to support academic partnerships and student engagement initiatives.
Examination Online LMS provided mobile first quizzes, instant scoring, and detailed reporting capabilities, aligning to Learning and Development workflows for assessment delivery and analytics. Functional configuration emphasized assessment delivery, automated scoring rules, and reporting dashboards that packaged WSJ articles into quiz items for course use and instructor review.
Integrations focused on embedding assessment content into higher-education coursework systems and tying quiz access to subscription flows, enabling quiz delivery alongside WSJ content for student audiences in the United States. Operational coverage centered on academic partnerships and subscriber engagement channels rather than enterprise wide L&D programs.
The implementation reportedly increased student engagement and brand awareness while providing mobile first quizzes, instant scoring and detailed reporting, with reporting and analytics supporting instructors and content owners in ongoing course and content governance.
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Vidora | Legacy | Vidora Cortex | ML and Data Science Platforms | AI Development | n/a | 2019 | 2019 |
In 2019, The Wall Street Journal deployed Vidora Cortex on its website. The Wall Street Journal implemented Vidora Cortex as part of its ML and Data Science Platforms footprint to enable predictive scoring and audience segmentation capabilities embedded in the site experience.
The implementation leveraged Vidora Cortex capabilities typical for the ML and Data Science Platforms category, including automated feature engineering, model training pipelines, real time inference, and audience segmentation workflows. Vidora Cortex was configured to ingest website behavioral telemetry and user profile signals to train models and produce live scores used for personalization and recommendation logic.
Integration work focused on connecting Cortex inference endpoints into the WSJ web delivery stack through API based calls and tag level event instrumentation, enabling model outputs to feed editorial recommendation and targeted experience flows. Operational governance was assigned to digital product and data science teams, with model validation and staged rollouts across site sections to control behavioral experiments and deployment scope.
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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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2021 | 2021 |
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Collaboration | Collaboration |
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2015 | 2015 |
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Collaboration | Collaboration |
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2019 | 2019 |
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Event Management | Collaboration |
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2020 | 2020 |
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Survey and Questionnaire | Collaboration |
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2016 | 2016 |
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CRM
ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Performance Management | ITSM |
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2014 | 2014 |
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Application Performance Management | ITSM |
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2014 | 2014 |
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IT Service Management | ITSM |
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2020 | 2020 |
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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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2015 | 2015 |
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Content Delivery Network | IaaS |
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2018 | 2018 |
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Content Delivery Network | IaaS |
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2012 | 2012 |
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Content Delivery Network | IaaS |
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2014 | 2014 |
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Content Delivery Network | IaaS |
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2017 | 2017 |
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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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IT Decision Makers and Key Stakeholders at The Wall Street Journal
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
Apps Being Evaluated by The Wall Street Journal Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||