New York, 10281, NY,
United States
Dotdash Meredith Technographics
Dotdash Meredith Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Dotdash Meredith and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 3000 Dotdash Meredith employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Dotdash Meredith has purchased the following applications: Oracle E-Business Suite for ERP Financial in 2015, Workday HCM for Core HR in 2012, Google Cloud Machine Learning Engine for ML and Data Science Platforms in 2017 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Dotdash Meredith is running and its propensity to invest more and deepen its relationship with Oracle , SAP , 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 Dotdash Meredith revenues, which have grown to $750.0 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 Dotdash Meredith 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.
Dotdash Meredith Tech Stack and Enterprise Applications
Dotdash Meredith ERP
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Oracle | Legacy | Oracle E-Business Suite | ERP Financial | ERP | n/a | 2015 | 2015 |
In 2015, Dotdash Meredith implemented Oracle E-Business Suite. The deployment targeted core financial management under the ERP Financial category, centralizing accounting and reporting for the company’s United States operations and a workforce of roughly 3000 employees.
The implementation focused on standard Oracle E-Business Suite financial modules, including General Ledger, Accounts Payable, Accounts Receivable, Cash Management, Fixed Assets and Subledger Accounting. Configuration work emphasized chart of accounts design, core ledger structures, period close orchestration and financial reporting frameworks consistent with ERP Financial functional patterns.
Oracle E-Business Suite was integrated with a BI stack that included MicroStrategy and Noetix, using EBS reporting views and transactional extracts to populate both packaged Noetix reports and MicroStrategy executive dashboards. The integration approach aligned operational transaction processing with a separate analytics layer, enabling reporting and analysis off the EBS schema without altering core transaction processing.
Governance changes accompanied the rollout, with role based access controls, centralized finance process definitions and standardized month end close workflows instituted to support the Oracle E-Business Suite environment. Implementation scope spanned finance, accounting and procurement functions, and the deployment was structured to deliver consolidated financial control and auditability consistent with ERP Financial best practices.
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Expense Management | ERP |
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2010 | 2010 |
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Expense Management | ERP |
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2013 | 2013 |
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Dotdash Meredith HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Workday | Legacy | Workday HCM | Core HR | HCM | n/a | 2012 | 2018 |
In 2012, Dotdash Meredith implemented Workday HCM as its Core HR platform. The initial deployment focused on centralizing employee master records and aligning HR processes with senior executive priorities for Meredith's LMG business unit. The implementation was positioned to consolidate workforce data and standardize HR workflows across recruitment and development activities.
Workday HCM was configured to support Core HR functional modules including employee records, organizational management, position control, talent acquisition workflows, and learning and development capabilities to support employee development and training. Business process frameworks and role-based security were implemented to enforce approvals and compliance controls, consistent with Core HR operational patterns. Performance management workflows were addressed within the HCM configuration to the extent supported by Workday HCM standard features.
Operational coverage emphasized HR leadership activities for Meredith's LMG, with HR partnering directly with senior executives on goal alignment, talent acquisition strategy, employee development, and legal compliance. The deployment team included personnel with expert working knowledge of Success Factors Performance Management and Workday HR systems, providing functional continuity for performance and talent processes without implying a product-level integration.
Governance and process restructuring were driven by HR executive sponsorship and cross-functional coordination, reflecting the HR leader’s role in co-chairing Meredith’s Diversity and Inclusion Committee and serving as an Environmental Sustainability Ambassador. Rollout activities prioritized aligning group and company goals and codifying talent acquisition and development practices into the Workday HCM business processes. Change management emphasized executive alignment and policy-led compliance rather than technical point solutions.
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Employee Experience | HCM |
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2015 | 2015 |
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Performance and Goal Management | HCM |
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2012 | 2012 |
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Recruiting, Applicant Tracking System | HCM |
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2014 | 2014 |
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Dotdash Meredith AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Cloud Machine Learning Engine | ML and Data Science Platforms | AI Development | n/a | 2017 | 2018 |
In 2017, Dotdash Meredith implemented Google Cloud Machine Learning Engine to automate content classification as its content volume expanded. Meredith Digital applied the Google Cloud Machine Learning Engine within editorial workflows to operationalize a custom universal taxonomy across diverse content assets.
The implementation pairs Google Cloud Machine Learning Engine with Cloud AutoML and Cloud Natural Language for model training, natural language understanding, and automated inference. Functional capabilities deployed include taxonomy-driven classification, automated content tagging, and programmatic metadata enrichment to standardize content types and enable downstream search and discovery workflows. Configuration focused on training classifiers against the custom universal taxonomy and establishing continuous inference pipelines for newly ingested content.
Operational coverage centers on Meredith Digital content operations and editorial metadata management, positioning Google Cloud Machine Learning Engine inside the ML and Data Science Platforms stack for content classification business functions. Governance emphasized taxonomy stewardship and scheduled classifier retraining to maintain alignment with editorial processes. The documented outcome is automated content classification using Cloud AutoML and Cloud Natural Language to apply the custom universal taxonomy.
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Dotdash Meredith 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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2018 | 2018 |
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Dotdash Meredith 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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Dotdash Meredith 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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2019 | 2019 |
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Audio Video and Web Conferencing | Collaboration |
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2020 | 2020 |
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Collaboration | Collaboration |
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2016 | 2016 |
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Dotdash Meredith Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Digital Signing | Content Management |
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2021 | 2021 |
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Dotdash Meredith CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Customer Data Platform | CRM |
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2020 | 2020 |
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Customer Experience | CRM |
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2018 | 2018 |
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Customer Support | CRM |
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2014 | 2014 |
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Digital Advertising Platform | CRM |
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2018 | 2018 |
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Marketing Automation | CRM |
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2016 | 2016 |
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Marketing Automation | CRM |
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2020 | 2020 |
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Marketing Automation | CRM |
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2016 | 2016 |
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Marketing Automation | CRM |
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2021 | 2021 |
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Sales Automation, CRM, Sales Engagement | CRM |
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2021 | 2021 |
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Dotdash Meredith ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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IT Service Management | ITSM |
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2018 | 2018 |
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Dotdash Meredith PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Transactional Email | PaaS |
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2017 | 2017 |
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Dotdash Meredith 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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2000 | 2000 |
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Application Hosting and Computing Services | IaaS |
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2018 | 2018 |
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Content Delivery Network | IaaS |
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2013 | 2013 |
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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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2018 | 2018 |
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Dotdash Meredith CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Secure Email Gateways (SEGs) | CyberSecurity |
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2018 | 2018 |
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Secure Email Gateways (SEGs) | CyberSecurity |
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2020 | 2020 |
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IT Decision Makers and Key Stakeholders at Dotdash Meredith
| First Name | Last Name | Title | Function | Department | Phone | |
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| No data found | ||||||
Apps Being Evaluated by Dotdash Meredith Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||