Yokohama, 220-8686,
Japan
Nissan Technographics
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.
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 |
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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 |
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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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| First Name | Last Name | Title | Function | Department | Phone | |
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| Date | Company | Status | Vendor | Product | Category | Market |
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