Utilising data to deliver personalized customer engagement
Learn how GMP created better business outcomes through improving their data and analytic capabilities!
Utilising data to deliver personalized customer engagement
Learn how GMP created better business outcomes through improving their data and analytic capabilities!
Webinar Speakers
Adam Sharp
Toustone
Adam is highly experienced in managing the delivery of DI across several industries. He has sophisticated knowledge on how to present data visually to optimise the understanding and analysis of data.
Will Barton
Gundagai Meat Processors
Will Barton is a distinguished business leader in the meat industry and CEO of Gundagai Meat Processors. In 2018, Will implemented an intuitive expansion project that enabled GMP to increase production capacity by 70%, creating 76 new full-time jobs.
What's the biggest challenge in the meat processing industry?
“The biggest challenge the industry is facing right now is how to make sure we are as efficient as we can be. For us, the big ethos is you can’t manage what you can’t measure“
Will Barton, CEO at Gundagai Meat Processors
What's the biggest challenge in the meat processing industry?
“The biggest challenge the industry is facing right now is how to make sure we are as efficient as we can be. For us, the big ethos is you can’t manage what you can’t measure“
Will Barton, CEO at Gundagai Meat Processors
Webinar story
With over 100 years of experience spanning three generations, Gundagai Meat Processors (GMP) has evolved into a market leader in the meat processing industry. Together with Toustone, they have implemented a Decision Intelligence solution that has revolutionised the GMP business and changed how the meat processing industry views data and analytics.
Toustone’s Decision Intelligence Solution delivers automated dashboard reporting based on current data. For GMP the automation of this process improved staff efficiency as the time previously spent entering and collecting data can now be used to focus on analysis and decision-making.
This advancement in data insight allowed GMP to identify the conditions that lead to absenteeism and its associated costs. This allowed greater management of future absenteeism, which resulted in improved labour costs and a higher retention rate.
Key business outcomes
- Enhanced efficiencies and improvement in KPI’s
- A data foundation supports the need for quick and reliable insights
- Refined procedures to maximise production
- Identified key causes of absenteeism
- An overall reduction in labour costs
- Allowed for decision-making based on accurate, up-to-date data!
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