McDonalds New Zealand Technographics
McDonalds New Zealand Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by McDonalds New Zealand and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 10000 McDonalds New Zealand 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 New Zealand has purchased the following applications: Nintex Promapp for Process Mining in 2019, Microsoft 365 for Collaboration in 2015, Facebook Atlas for Marketing Automation 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 McDonalds New Zealand is running and its propensity to invest more and deepen its relationship with Nintex , Microsoft , Facebook 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 New Zealand revenues, which have grown to $300.0 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 McDonalds New Zealand 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 New Zealand Tech Stack and Enterprise Applications
McDonalds New Zealand Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Nintex | Legacy | Nintex Promapp | Process Mining | Analytics and BI | n/a | 2019 | 2019 |
In 2019 McDonalds New Zealand implemented Nintex Promapp, adopting the Process Mining application to codify HR and restaurant operational procedures. The implementation targeted employee relations workflows across restaurant sites and HR teams for a company with about 10000 employees.
Nintex Promapp was configured to present a simple drill down structure combining process maps, work instructions and related documentation such as forms and proforma letters. The application provided a central storeroom for process related information that is searchable and easy to navigate, enabling restaurant managers to access role specific guidance at the point of need.
Functional configuration focused on aligning documents to specific process stages so that when an employee relations event occurs the appropriate letter or form is linked directly to the relevant step. For human resource practitioners the Process Mining deployment supported end to end process mapping from recruitment through misconduct or breach of behaviour, with the ability to attribute required documentation to each stage.
Governance changes emphasized bringing processes to the people using clear process ownership and streamlined access rather than complex tooling, reflecting a requirement for simplicity identified by HR stakeholders. The deployment delivered excellent benefits according to McDonald’s HR consultant Josephine Knowles, and practitioners report that staff feel more confident dealing with employee matters and know where to go for information.
|
McDonalds New Zealand Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft 365 | Collaboration | Collaboration | n/a | 2015 | 2015 |
In 2015, McDonalds New Zealand implemented Microsoft 365 for Collaboration. The deployment established a cloud-hosted Microsoft 365 tenant to centralize corporate communications and employee productivity across corporate offices and restaurant operations in New Zealand, with Microsoft 365 supporting internal communications, document collaboration, scheduling, and knowledge sharing.
The implementation emphasized core Collaboration capabilities, delivering enterprise email, team chat and meetings, document co-authoring, cloud file storage, and intranet-style content publishing. Microsoft 365 was configured with tenant-level administration, role-based access controls, and centralized policy management to manage user provisioning and standardize security and compliance settings, and configuration workstreams included mailbox and collaboration site provisioning, shared document libraries, and calendaring aligned to corporate business processes.
The McDonalds New Zealand website references Microsoft 365, indicating use of Microsoft 365 services in web-facing assets. Governance centered on centralized tenant administration, user onboarding workflows, and information governance policies for email and documents to support consistent collaboration practices. Operational coverage spans corporate functions and restaurant operational teams, where Microsoft 365 Collaboration supports day-to-day communications and knowledge workflows.
|
|
|
|
|
Collaboration | Collaboration |
|
2018 | 2018 |
|
McDonalds New Zealand CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Facebook Atlas | Marketing Automation | CRM | n/a | 2017 | 2017 |
In 2017, McDonalds New Zealand deployed Facebook Atlas as a Marketing Automation capability on its public website. The implementation was oriented around using Facebook Atlas to support digital campaign audience capture, measurement, and attribution for the marketing organization, with the corporate website serving as the primary event collection surface.
Configuration centered on standard Facebook Atlas functions including pixel based site tagging, audience segmentation, cross device attribution, and campaign measurement workflows. Facebook Atlas was instrumented to capture page views and conversion events, enabling audience construction and attribution workflows used during media planning and creative targeting.
Operational coverage was focused on the digital marketing and media teams, who consumed web event feeds from the McDonalds New Zealand website into Facebook Atlas for cohort creation and campaign targeting. Integration points were limited to the website event layer, where site level scripts and tag deployments routed behavioral signals into Facebook Atlas for reuse across campaigns.
Governance and process changes emphasized establishing event taxonomy, campaign tagging standards, and measurement review cycles to preserve data quality and consistent attribution. Facebook Atlas served as the named application centralizing Marketing Automation functions, supporting campaign orchestration, audience reuse, and end to end measurement within McDonalds New Zealand's digital advertising workflows.
|
McDonalds New Zealand ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Application Performance Management | ITSM |
|
2015 | 2015 |
|
McDonalds New Zealand IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2015 | 2015 |
|
|
|
|
|
Digital Workspace | IaaS |
|
2017 | 2017 |
|
McDonalds New Zealand CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Secure Email Gateways (SEGs) | CyberSecurity |
|
2020 | 2020 |
|
IT Decision Makers and Key Stakeholders at McDonalds New Zealand
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
Apps Being Evaluated by McDonalds New Zealand Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||