


Digital Twin Analytics Email Formats
Business Consulting and Services • Melbourne, Victoria, Australia • 1-10 Employees
Digital Twin Analytics Email Formats
Digital Twin Analytics uses 2 email formats. The most common is {first initial}.{last name} (e.g., j.doe@digitaltwinanalytics.com.au), used 75% of the time.
| Format | Example | Percentage |
|---|---|---|
{first initial}.{last name} | j.doe@digitaltwinanalytics.com.au | 75% |
{first name}.{last name} | john.doe@digitaltwinanalytics.com.au | 25% |
Key Contact at Digital Twin Analytics
Peter Bodon
Founder and Director
Company overview
| Headquarters | Melbourne, Victoria, Australia |
| Phone number | +611300341747 |
| Website | |
| NAICS | 5416 |
| Keywords | Supply Chain, Process Improvement, Optimisation, Business Analytics, Data Analytics, Statistics, Simulation Modelling, Decision Support, Planning And Scheduling, Operations Research, Mathematical Modelling, Discrete Event Simulation, Supply Chain Optimisation, Quantitative Models, Systems Modelling, Operational Modelling, Data Drive Decision Making, Logistics Optimisation, Mathematical Optimisation, Mining Supply Chains |
| Founded | 2020 |
| Employees | 1-10 |
About Digital Twin Analytics
Digital Twin Analytics is an Australian-owned independent consulting firm that has extensive experience in applying Operations Research techniques in the resources, transport, critical infrastructure and healthcare sectors. We specialise in the development of digital twins to help design and understand the complex interactions that thwart the ability of other methods to capture the essence of system performance. The principals of Digital Twin Analytics are amongst a small number of engineers who started applying discrete event simulation in the Australian mining industry in the early 1990’s. Digital Twin Analytics’ advanced analytics, optimisation and simulation specialists help our clients make better informed and data-driven decisions in highly complex decision making situations considering uncertainty. We help our clients move beyond analysis into analytics and decision science.
Employees by Management Level
Total employees: 1-10
Seniority
Employees
Funding Data
Digital Twin Analytics has never raised funding before.
Digital Twin Analytics Tech Stack
Discover the technologies and tools that power Digital Twin Analytics's digital infrastructure, from frameworks to analytics platforms.
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Frequently asked questions
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