Review of data utilization in other industries
The Australia red meat sector can learn from companies in other industries, such as Nike in apparel, to help inform improvements across the sector.
| Project start date: | 09 June 2020 |
| Project end date: | 29 April 2021 |
| Publication date: | 04 April 2022 |
| Project status: | Completed |
| Livestock species: | Grain-fed Cattle, Grass-fed Cattle, Sheep, Goat, Lamb |
| Relevant regions: | Southern Australia, Northern Australia, NSW, Western Australia, Victoria, South Australia, Queensland, Northern Territory, Tasmania, Eastern Australia |
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Summary
This project analysed supply chain initiatives focused on data and technology in non-agricultural sectors for insights to help inform improvements for the Australian red meat sector. The analysis centred on the approaches to digital processes, data use, and data analytics employed across the supply chains studied. A framework was developed to identify and select three use-cases driving the adoption of technology in supply chains: provenance, compliance, and commercial efficiency. The three industry case studies selected using this framework were: apparel (specifically Nike), pharmaceuticals, and oil and gas.
Objectives
This project aimed to:
1. Analyse supply chain data transformations in non-agricultural industries to determine the critical success factors in technology use, organisational culture, and application
2. Apply insights to help inform and improve the Australian red meat industry’s approach to digital processes, data use, and analytics across the supply chain.
Key findings
While the three case studies cover a range of data transformation examples:
1. A private company overhauling its internal inventory management system
2. Regulations catalysing new systems to share data and verify products across a supply chain
3. Efforts to harmonise and aggregate data collected by individual actors across an industry.
There are clear success factors common to all, including:
1. The case for change needs to be clear and well demonstrated
2. Complexity is lowered and benefits are extended more broadly if there is facilitated coordination
3. Data interoperability is key to full value being realised
Benefits to industry
The research and analysis points to three key ways in which industry bodies such as ISC and MLA can support the implementation and adoption of data and technology solutions in the Australian red meat industry:
1. Build the case for change: help jumpstart industry-led efforts by building and demonstrating robust business cases for change when value-propositions are poorly understood or unproven for industry.
2. Facilitate coordination: help align motives and incentives for collaboration amongst industry players and host mechanisms that promote pre-competitive collaboration.
3. Ensure interoperability: help develop and promote open standards that allow industry to innovate in an additive and cohesive manner; ensuring interoperability of systems and solutions used by industry not only makes coordination more achievable, it can also increase the value and possible applications of those solutions in the long-run.
MLA action
The discoveries from this project will be referred to during future work with the aim of reducing the complexity of analysis and improving the adoption of tools and processes in the red meat supply chain.
Future research
The factors - building the case for change, facilitating coordination, and ensuring interoperability - provide guidance for how industry bodies such as ISC and MLA can support the implementation and adoption of data and technology solutions for the sector. These initiatives, if adopted as part of a data aggregation process, would reduce complexity in analysis and lead to more rapid adoption of tools and processes to realise the full value of digital transformation in the red meat supply chain.
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For more information Contact Project Manager: Luc McCann
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