Nissan
1-1 Takashima 1-chome, Nishi-ku, Yokohama-shi, Kanagawa,
Yokohama, 220-8686,
Japan
Yokohama, 220-8686,
Japan
49 7244-6098399
Automotive
Nissan Technographics
Nissan Software Purchases and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Nissan and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 132790 Nissan employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Nissan has purchased the following applications: SAP S/4 HANA for ERP Financial in 2019, Workday HCM for Core HR in 2018, Senseye PdM for Computerized Maintenance Management (CMMS) in 2018 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Nissan is running and its propensity to invest more and deepen its relationship with SAP , Workday , Cornerstone OnDemand 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 Nissan revenues, which have grown to $82.63 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 Nissan 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.
Nissan Data, Technology Stack, and Enterprise Applications
ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| SAP | SAP ERP ECC 6.0 | SAP S/4 HANA | ERP Financial | ERP Financial Management | Ibm | 2019 | 2022 |
In 2019 Nissan implemented SAP S/4 HANA as its ERP Financial system, with IBM engaged as the system integrator and the program transitioning from SAP ERP ECC 6.0. The initiative was executed within Nissan Global IS/IT and positioned as a core finance modernization under the Next Finance Program.
The SAP S/4 HANA deployment emphasized core financials and accounting capabilities in the ERP Financial category, aligning general ledger and accounting processes with existing SAP based production planning, order management, parts ordering and inventory management capabilities used by manufacturing and supply chain teams. Configuration work focused on consolidating financial transaction flows and establishing integration touch points to capture manufacturing and supply chain event data into the finance ledger.
Architecturally the implementation leveraged a cloud first reference architecture, with SAP S/4 HANA running on AWS as part of a lift and shift and cloud optimization strategy that Nissan documented and supported across multiple projects. The deployment interfaced with MES and manufacturing systems used at global battery plants and manufacturing sites in the UK, US and Spain, preserving cross functional data flows between production, SCM and finance.
Program governance was managed through Nissan’s Enterprise Architecture Review Board and the Global Program Management Office, which enforced technical architecture standards, solution architecture reviews and a multi project rollout model. IBM provided system integration services while Nissan’s IS/IT teams maintained enterprise architecture oversight and technical reference designs for S/4 HANA on AWS.
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HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Workday | Legacy | Workday HCM | Core HR | HCM | n/a | 2018 | 2018 |
In 2018, Nissan implemented Workday HCM, deploying Workday Human Capital Management as its global HR system to centralize Core HR functions across its international operations. The deployment unified HR data access worldwide and was positioned to standardize HR processes and strengthen Nissan’s talent pool and human resource diversity.
The implementation emphasized Core HR capabilities such as a global employee master record, position and job management, internal transfer workflows that address Japan-specific requirements, and real-time HR reporting to support human capital decision making. Configuration followed Workday best practices to align HR operations, with cloud-based architecture used to provide flexibility and to support a large-scale, scheduled go-live.
Operational scope covered Nissan’s global HR organization with governance changes to centralize HR data access and to integrate HR operations under a common data model. Nissan documented that the unified Workday Human Capital Management environment allowed easier access to global HR data and enabled more strategic HR decision making across regions.
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Payroll | HCM |
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2018 | 2018 |
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Recruiting, Applicant Tracking System | HCM |
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2018 | 2018 |
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Recruiting, Applicant Tracking System | HCM |
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2015 | 2015 |
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ERP Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Senseye | Legacy | Senseye PdM | Computerized Maintenance Management (CMMS) | ERP Services and Operations | n/a | 2018 | 2018 |
In 2018 Nissan implemented Senseye PdM in the Computerized Maintenance Management (CMMS) category to scale predictive maintenance across its global manufacturing footprint. The program targeted a reduction of production downtime by up to 50 percent across thousands of diverse machines, addressing an abundance of sensor data and limited skilled analysis resources. Nissan operates manufacturing sites in 20 countries and expanded the deployment into plants producing models such as the Qashqai, X-Trail, Leaf, and Rogue.
Over more than five years Nissan deployed Senseye PdM to remotely monitor machine health across its plants, leveraging Senseye’s patented artificial intelligence and proprietary machine learning algorithms to deliver failure forecasts. The implementation emphasized per machine type model development, remote condition monitoring, automated alerts and operational dashboards, and a structured process to on-board new equipment. Nissan adopted Senseye PdM Omniverse to upskill users, enabling engineers to independently provision models and scale predictive capability across sites. The environment currently monitors more than 10,000 machines across over 100 machine types, including robots, conveyers, drop lifters, pumps, motor fans, and press and stamping machines.
Integrations were extended to operate alongside Nissan’s enterprise software landscape, with engineers able to integrate Senseye PdM outputs with other systems independent of Senseye, supporting maintenance planning and work order orchestration. Operational coverage centers on maintenance, reliability engineering and operations teams, with over 500 concurrent users accessing the platform to manage maintenance activities and execute condition driven repairs. Governance shifted toward autonomous adoption, with centralized upskilling through the Omniverse and in house processes to on-board equipment and scale models.
Reported outcomes tied to the implementation include tens of millions in saved downtime and a rapid return on investment of less than 3 months, with advance warnings of up to 6 months for impending failures. The deployment reduced preventative maintenance and secondary activities while delivering year on year OEE improvements as teams moved from reactive to predictive maintenance workflows. Nissan’s use of Senseye PdM illustrates application of a Computerized Maintenance Management (CMMS) solution through machine level modeling, remote monitoring, integrations and internal governance to embed predictive maintenance practices.
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Enterprise Asset Management | ERP Services and Operations |
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2020 | 2020 |
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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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2014 | 2014 |
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Data Warehouse | Analytics and BI |
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2014 | 2014 |
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Blockchain
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Blockchain Platform | Blockchain |
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2023 | 2023 |
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SCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Supply Chain Management | SCM |
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2017 | 2018 |
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Supply Chain Management | SCM |
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2019 | 2019 |
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Warehouse Management | SCM |
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2019 | 2019 |
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Warehouse Management | SCM |
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2019 | 2019 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Call Center | CRM |
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2019 | 2019 |
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Marketing Automation | CRM |
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2014 | 2014 |
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Sales Automation, CRM, Sales Engagement | CRM |
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2019 | 2019 |
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PLM and Engineering
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Material Simulation | PLM and Engineering |
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2006 | 2006 |
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Process Simulation | PLM and Engineering |
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2022 | 2022 |
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Product Lifecycle Management | PLM and Engineering |
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2022 | 2022 |
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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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Treasury Management | TRM |
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2007 | 2008 |
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Treasury Management | TRM |
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2005 | 2006 |
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Treasury Management | TRM |
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2022 | 2022 |
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Treasury Management | TRM |
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2005 | 2005 |
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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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Content Delivery Network | IaaS |
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2019 | 2019 |
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Database Management | IaaS |
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2017 | 2017 |
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Database Management | IaaS |
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2014 | 2014 |
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IT Decision Makers and Key Stakeholders at Nissan
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
Apps Being Evaluated by Nissan Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||
FAQ - APPS RUN THE WORLD Nissan Technographics
Nissan is a Automotive organization based in Japan,
with around 132790 employees and annual revenues of $82.63 billion.
Nissan operates a diverse technology stack with applications such as
SAP S/4 HANA, Workday HCM and Senseye PdM,
covering areas like ERP Financial, Core HR and Computerized Maintenance Management (CMMS).
Nissan has invested in cloud applications and AI-driven platforms to optimize efficiency and growth,
collaborating with vendors such as SAP, Workday and Senseye.
Nissan recently adopted applications including
Polygon PoS in 2023, MathWorks Simulink in 2022 and MathWorks MATLAB in 2022,
highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Nissan’s key decision makers and IT executives,
available to Premium subscribers.
Our research team continuously updates Nissan’s profile with verified software purchases,
vendor relationships, and digital initiatives identified from public and proprietary sources.
Subscribe to APPS RUN THE WORLD to access the complete Nissan technographics profile,
including detailed breakdowns by category, vendor, and IT decision makers.