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United States
Dow Jones Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Dow Jones and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 4786 Dow Jones employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Dow Jones has purchased the following applications: SAP S/4 HANA for ERP Financial in 2018, iCIMS Recruit Applicant Tracking System for Applicant Tracking System in 2012, Amazon SageMaker for ML and Data Science Platforms in 2016 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Dow Jones is running and its propensity to invest more and deepen its relationship with SAP , iCIMS , Workday 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 Dow Jones revenues, which have grown to $1.50 billion 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 Dow Jones 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 |
|---|---|---|---|---|---|---|---|---|
| SAP | Legacy | SAP S/4 HANA | ERP Financial | ERP Financial Management | n/a | 2018 | 2018 |
In 2018, Dow Jones implemented SAP S/4 HANA as its enterprise financial system. The deployment established SAP S/4 HANA as Dow Jones ERP Financial backbone supporting corporate finance and accounting functions across the company.
The implementation focused on core financial modules, with configuration of general ledger, accounts payable, accounts receivable, asset accounting, financial close orchestration, treasury functions and centralized financial reporting. SAP S/4 HANA was configured to use the application ledger and FI and CO functional areas to support statutory and management reporting workflows.
Architecturally the SAP S/4 HANA deployment leveraged the S/4 HANA in-memory database and transactional engine to enable real time posting and accelerated period close processes, while consolidating financial master data and chart of accounts structures. System design emphasized ledgers, controlling structures and standardized journal entry flows to provide a single source of truth for finance operations.
Governance and process changes centered on harmonizing accounting policies, instituting role based access controls and standardizing month end close and reconciliation workflows across the finance organization. Dow Jones SAP S/4 HANA ERP Financial implementation aligned finance process orchestration with centralized master data and structured change management to support ongoing finance operations.
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Expense Management | ERP Financial Management |
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2014 | 2014 |
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HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| iCIMS | Legacy | iCIMS Recruit Applicant Tracking System | Applicant Tracking System | HCM | n/a | 2012 | 2012 |
In 2012, Dow Jones deployed iCIMS Recruit Applicant Tracking System as its Applicant Tracking System to power external candidate intake on its public careers site. The iCIMS Recruit Applicant Tracking System implementation centralized job posting and requisition workflows on the corporate careers portal, and provided core ATS capabilities such as candidate capture, resume parsing, applicant tracking, interview workflow orchestration, and offer workflow support aligned to talent acquisition processes.
Operational coverage focused on talent acquisition and hiring managers, with the system embedded into the Dow Jones careers website to handle external applications and candidate lifecycle management. Governance centered on centralized ATS administration and standardized recruiting workflows, with role based access controls and configurable requisition approval chains to support HR and hiring business functions across the organization.
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Benefits Administration | HCM |
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2016 | 2016 |
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Compensation Management | HCM |
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2016 | 2016 |
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Core HR | HCM |
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2018 | 2018 |
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Core HR | HCM |
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2014 | 2018 |
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Employee Experience | HCM |
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2024 | 2024 |
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Payroll | HCM |
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2016 | 2016 |
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Recruiting, Applicant Tracking System | HCM |
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2018 | 2018 |
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Amazon Web Services (AWS) | Legacy | Amazon SageMaker | ML and Data Science Platforms | AI Development | n/a | 2016 | 2017 |
In 2016, Dow Jones implemented Amazon SageMaker within its ML and Data Science Platforms toolkit to accelerate the integration of machine learning into its products and services. The initiative was operationalized through a Machine Learning Hackathon where AWS provided training on Amazon SageMaker and Amazon Rekognition, and offered day of support to participant teams, creating hands on development momentum across the organization.
The Amazon SageMaker deployment focused on standard platform capabilities common to ML and Data Science Platforms, including model training and experimentation, managed notebook environments for data scientists, and model hosting workflows for iterative prototyping. Teams were enabled to build and iterate on model pipelines during the event, using Amazon SageMaker for end to end model lifecycle tasks and Amazon Rekognition for vision related use cases.
Integrations explicitly referenced in the engagement included Amazon Rekognition alongside Amazon SageMaker, reflecting a multi service AWS architecture for both feature extraction and model development. The operational scope centered on cross functional product and engineering teams participating in the hackathon, with the platform positioned to support continued development work on AWS across product development and data science functions.
Governance and rollout were anchored by AWS delivered training and event day support, which served as the primary enablement mechanism to seed internal capabilities and workflows. The stated outcome from the effort was a set of viable machine learning ideas that teams planned to continue developing on AWS, and the hackathon was described as a successful example of the vendor and customer partnership in building ML capability.
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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Artificial Intelligence Marketing | AI-Powered Application |
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2015 | 2015 |
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Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Analytics and BI | Analytics and BI |
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2016 | 2018 |
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Data Warehouse | Analytics and BI |
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2018 | 2018 |
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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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2021 | 2021 |
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Collaboration | Collaboration |
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2014 | 2014 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Intelligent Document Processing | Content Management |
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2008 | 2008 |
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eCommerce
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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eCommerce | eCommerce |
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2018 | 2018 |
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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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2016 | 2016 |
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IT Service Management | ITSM |
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2020 | 2020 |
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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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Test Automation Platform | PaaS |
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2017 | 2017 |
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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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2019 | 2019 |
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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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2019 | 2019 |
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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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2020 | 2020 |
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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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2016 | 2016 |
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Data Warehouse Appliance | IaaS |
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2018 | 2018 |
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Database Management | IaaS |
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2020 | 2020 |
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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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