Shanghai, 200233,
China
McDonalds China Technographics
McDonalds China Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by McDonalds China and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 2900 McDonalds China employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that McDonalds China has purchased the following applications: SAP S/4 HANA for ERP Financial in 2018, MokaHR Moka People Leave and Absence for Absence and Leave Management in 2020, MokaHR Moka People Data Analysis Platform for Analytics and BI in 2021 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems McDonalds China is running and its propensity to invest more and deepen its relationship with SAP , MokaHR , Techsun 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 McDonalds China revenues, which have grown to $3.71 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 McDonalds China 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.
McDonalds China Tech Stack and Enterprise Applications
McDonalds China ERP
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| SAP | Legacy | SAP S/4 HANA | ERP Financial | ERP | n/a | 2018 | 2019 |
In 2018 McDonalds China implemented SAP S/4 HANA as its core ERP Financial platform, a move recorded by SAP during the quarter when S/4HANA selection activity expanded. The deployment announcement aligns McDonalds China with SAP's next generation ERP positioning, where customers seek simplified IT landscapes and real-time operational reporting.
The implementation centered on SAP S/4 HANA core financial capabilities, including general ledger, accounts payable, accounts receivable, fixed asset accounting, and period close orchestration, leveraging S/4 HANA in-memory processing and embedded analytics to enable transaction level reporting and accelerated close workflows. Configuration emphasis for an ERP Financial deployment of this type typically includes chart of accounts harmonization, centralized fiscal period control, and automated financial posting rules to support consolidated statutory and management reporting.
Operational coverage targeted McDonalds China finance and treasury functions across the company's China operations, with integrated master data and finance process standardization implied by an ERP Financial rollout of this scale. SAP’s investor statement also noted broader market context, where S/4HANA adoption grew to more than 8,900 customers and cloud adoption was increasing, although the announcement does not specify a cloud or on premise model for McDonalds China.
Governance and process changes reflected SAP’s stated goals for S/4HANA, emphasizing simplified IT landscape, the ability to turn real-time data into actions, and support for reinventing business models, outcomes SAP cited in the quarter. The McDonalds China selection was highlighted by SAP among world class global companies choosing S/4HANA during that reporting period.
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McDonalds China HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| MokaHR | Legacy | MokaHR Moka People Leave and Absence | Absence and Leave Management | HCM | n/a | 2020 | 2020 |
In 2020, McDonalds China implemented MokaHR Moka People Leave and Absence as part of its cloud HR SaaS footprint. The deployment extended the Moka People core HR environment to introduce Absence and Leave Management capabilities across McDonalds China operations, aligning leave administration alongside hiring and employee management processes. Usage of the MokaHR Moka People Leave and Absence module is inferred from McDonalds China being listed as a Moka People enterprise customer and from public reporting of the vendor relationship.
MokaHR Moka People Leave and Absence was configured to deliver standard absence management workflows, including configurable leave entitlements, time off request submission, manager approval routing, leave balance tracking, and absence reporting. The application was aligned with core HR records so that hire, status change, and termination events in Moka People feed leave entitlements and balances, supporting HR operations and payroll readiness within the Absence and Leave Management scope.
Operational coverage emphasized HR administrators and managers across McDonalds China, with centralized policy configuration in the Moka People administration console and local manager level approvals for day to day leave processing. Governance changes centered on formalizing approval workflows and policy templates in the application to ensure consistent leave handling across sites and business units within China.
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Compensation Management | HCM |
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2018 | 2018 |
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Core HR | HCM |
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2020 | 2020 |
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Employee Self Service | HCM |
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2021 | 2021 |
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Performance and Goal Management | HCM |
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2021 | 2021 |
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McDonalds China Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| MokaHR | Legacy | MokaHR Moka People Data Analysis Platform | Analytics and BI | Analytics and BI | n/a | 2021 | 2021 |
In 2021 McDonald’s China implemented MokaHR Moka People Data Analysis Platform to support HR and talent functions, a deployment identified in vendor press as part of MokaHR’s customer roster. The implementation is associated with the Analytics and BI category, with vendor materials noting deployment of Moka’s recruiting and people-management solutions for major corporate customers including McDonald’s China.
The deployment encompasses core people-management capabilities, with explicit coverage of recruitment workflows, payroll-related data consolidation, time-off tracking, and performance management data. MokaHR Moka People Data Analysis Platform is referenced as the people analytics and reporting component, providing centralized data aggregation, dashboards, and standard HR reporting constructs consistent with Analytics and BI functionality.
Operational scope described by the vendor material situates the solution across the China region, supporting HR, talent acquisition, and payroll-related business functions for the company’s local workforce. Configuration emphasis in the deployment centers on candidate pipeline analytics, workforce time-off and attendance reporting, and performance metrics ingestion to enable cross-functional HR reporting and decision support.
Vendor messaging does not enumerate per-customer module assignments, therefore the attribution of the Moka People data and analytics module to McDonald’s China is inferred from the vendor release indicating broad delivery of Moka People to major customers. Governance implications include consolidation of people data and standardized reporting workflows under corporate and regional HR teams, with phased rollout coordination implied by the vendor’s enterprise customer focus.
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McDonalds China CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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CRM | CRM |
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2017 | 2017 |
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Customer Data Platform | CRM |
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2020 | 2020 |
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Marketing Automation | CRM |
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2018 | 2019 |
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IT Decision Makers and Key Stakeholders at McDonalds China
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Apps Being Evaluated by McDonalds China Executives
| Date | Company | Status | Vendor | Product | Category | Market |
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