New York, 10166, NY,
United States
Russell Reynolds Associates Technographics
Russell Reynolds Associates Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Russell Reynolds Associates and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 1700 Russell Reynolds Associates employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Russell Reynolds Associates has purchased the following applications: Oracle PeopleSoft ERP for ERP Financial in 2004, In-House ATS for Applicant Tracking System in 2015, Microsoft Azure Machine Learning for ML and Data Science Platforms in 2015 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Russell Reynolds Associates is running and its propensity to invest more and deepen its relationship with Oracle , SAP , In-House Applications 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 Russell Reynolds Associates revenues, which have grown to $325.0 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 Russell Reynolds Associates 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.
Russell Reynolds Associates Tech Stack and Enterprise Applications
Russell Reynolds Associates ERP
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Oracle | Legacy | Oracle PeopleSoft ERP | ERP Financial | ERP | n/a | 2004 | 2018 |
In 2004, Russell Reynolds Associates implemented Oracle PeopleSoft ERP within the ERP Financial category. The work emphasized an upgrade path for PeopleSoft Financials and Financials Supply Chain Management, advancing FSCM from 8.4 on PeopleTools 8.48 to FSCM 9.2 on PeopleTools 8.54 as the central application target.
The technical implementation included installation of PeopleTools 8.54 with patch 8.54.20 on Windows 2012 and deployment of the PeopleSoft Financials 9.2 application on Windows 2012. A PeopleTools 8.55 environment was also used to apply and validate PUM image number 17, with builds exercised on both native operating system hosts and in VirtualBox to support image verification and staging.
Middleware and runtime components were installed as part of the Oracle PeopleSoft ERP implementation, including WebLogic 12.1.2 for Java application serving and Tuxedo 12.1.1 with its patch for transaction processing on Windows 2012. A COBOL 5.1 runtime and license were installed to support any COBOL-based batch components in PeopleSoft Financials, and the SQL Server database platform was upgraded from SQL Server 2005 to SQL Server 2012 R2, including a conversion from Non Unicode to Unicode character sets to align the database with PeopleSoft requirements.
Operational and release governance centered on applied PeopleTools and middleware patch levels, PUM image validation, and database conversion sequencing to ensure application compatibility. The implementation narrative for Oracle PeopleSoft ERP reflects focused configuration of financial modules, PeopleTools version management, middleware provisioning, runtime licensing, and database Unicode conversion as the primary technical controls supporting ERP Financial operations.
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Expense Management | ERP |
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2015 | 2015 |
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Russell Reynolds Associates HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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| In-House Applications | Legacy | In-House ATS | Applicant Tracking System | HCM | n/a | 2015 | 2015 |
In 2015, Russell Reynolds Associates deployed an In-House ATS as its Applicant Tracking System. The In-House ATS was implemented as the primary candidate intake and management engine and is surfaced on the firm's public careers website to manage job postings and applicant submissions. The implementation is an internally developed application integrated into the careers site front end to support online applications and resume capture.
The implementation covers standard Applicant Tracking System capabilities such as job requisition publishing, candidate profile management, workflow based candidate routing, and application form handling, supporting the recruiting and talent acquisition functions. Governance and operational ownership reside with HR and recruiting teams who manage job posting workflows and candidate adjudication processes, with system configuration controlled internally. The deployment posture reflects an internally developed application model with direct developer ownership and on site operational control.
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Core HR | HCM |
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2004 | 2005 |
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Payroll | HCM |
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2015 | 2015 |
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Time and Attendance | HCM |
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2015 | 2015 |
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Russell Reynolds Associates AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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| Microsoft | Legacy | Microsoft Azure Machine Learning | ML and Data Science Platforms | AI Development | n/a | 2015 | 2016 |
In 2015, Russell Reynolds Associates deployed Microsoft Azure Machine Learning as part of a broader move onto Microsoft Azure. Russell Reynolds Associates is a global professional services firm with about 1700 employees and more than 400 consultants across 47 offices, focused on assessment, executive search, and succession planning. The deployment targeted candidate sourcing workflows, using Microsoft Azure Machine Learning to gain instant, no investment access to sophisticated machine learning algorithms that surface job candidates faster from volumes of data. This implementation was driven by a need to reduce duplicated datacenter infrastructure and to shift attention from operational maintenance to higher value recruiting and assessment activities.
The implementation leveraged core ML and Data Science Platforms capabilities, including access to prebuilt algorithms, model training and experimentation, managed compute for iterative model runs, and data preparation and feature engineering pipelines. Configuration emphasized managed services to avoid upfront infrastructure procurement and to accelerate model development cycles that feed consultant search and assessment processes. Microsoft Azure Machine Learning was used to operationalize scoring and candidate ranking workflows that consultants could incorporate into their review processes.
Operationally the Azure Machine Learning rollout intersected with the firm’s global datacenter footprint and candidate data assets, enabling centrally hosted models to augment local search processes across offices. The initiative complemented concurrent Microsoft cloud deployments such as Office 365 which provided cloud based collaboration for the global staff. Use of Azure also fed a broader program to reduce tape backup costs and to increase availability by migrating backup and data services toward cloud hosted alternatives.
Governance shifted emphasis toward model governance, data pipeline orchestration, and aligning ML outputs with consultant review workflows rather than day to day infrastructure operations. Russell Reynolds cited faster surfacing of candidates from large data sets, reduced datacenter duplication, and lower operational complexity as explicit outcomes tied to the Microsoft Azure Machine Learning deployment. Microsoft Azure Machine Learning therefore became a foundational element in the firm’s ML and Data Science Platforms capability supporting candidate sourcing and assessment functions.
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Russell Reynolds Associates 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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2015 | 2018 |
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Russell Reynolds Associates 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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2020 | 2020 |
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Collaboration | Collaboration |
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2020 | 2020 |
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Russell Reynolds Associates 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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Enterprise Content Management | Content Management |
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2020 | 2020 |
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Russell Reynolds Associates CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Customer Experience | CRM |
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2021 | 2021 |
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Marketing Automation | CRM |
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2017 | 2017 |
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Marketing Automation | CRM |
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2020 | 2020 |
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Marketing Automation | CRM |
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2020 | 2020 |
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Sales Engagement | CRM |
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2017 | 2017 |
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Russell Reynolds Associates ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Performance Management | ITSM |
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2020 | 2020 |
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Russell Reynolds Associates TRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Governance, Risk and Compliance | TRM |
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2018 | 2018 |
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Governance, Risk and Compliance | TRM |
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2018 | 2018 |
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Russell Reynolds Associates 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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2019 | 2019 |
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Russell Reynolds Associates 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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2013 | 2013 |
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IT Decision Makers and Key Stakeholders at Russell Reynolds Associates
Apps Being Evaluated by Russell Reynolds Associates Executives
| Date | Company | Status | Vendor | Product | Category | Market |
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