1. Understanding Your Objectives
The first step is to understand your objectives, challenges, and constraints. Whether you’re seeking to write grant applications, land an industry partner or strategically develop your research, we work closely with you to define the scope of the project and identify key performance indicators.
2. Convert Experimental Plans to Processes
Taking the steps of a research plan, we can help you develop a process flow diagram. This stage sees the first of the communication tools used for industry partnering. From there, we can help you identify the key data needs of the model.
3. Data Collection & Cleaning
Once we have a clear understanding of your objectives and information needs, we begin the data collection and cleaning process. We gather relevant data from a variety of sources and proceed to assess data quality and inconsistencies systematically, increasing accuracy and reliability in analysis.
4. Model Development
With data ready to go, we proceed to commence modelling. We seek to understand the operational and capital costs that feed into the financial summary and sensitivity analysis. If comparable systems exist, those can be incorporated at this point for verification.
5. Interpretation and Reporting
Modelling data, in particular its visualisation, provides strategic and actionable insights for the research’s forward direction. This also allows for interpretation of potential competitive advantages and partnering pathways.