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GC's Digital Transformation: Optimizing Data with Alteryx Analytics Automation
Technology Category
- Analytics & Modeling - Predictive Analytics
- Sensors - Chemical Sensors
Applicable Industries
- Apparel
- Chemicals
Applicable Functions
- Procurement
- Quality Assurance
Use Cases
- Leasing Finance Automation
- Material Handling Automation
Services
- Testing & Certification
- Training
The Challenge
GC, the largest petrochemical company in Thailand and third largest in Asia, was facing challenges in its operations due to a lack of data-driven decision making. The company, which is involved in the manufacturing and distribution of a wide range of petrochemical products, had 70% of its business focused on engineers and chemical plants. However, the engineers were relying on piecing together data from different suppliers, which carried complex variables. This was not only inefficient but also hindered the company's ability to innovate and optimize its operations. Furthermore, the company was following traditional practices such as changing chemical catalysts at known intervals, without any data-driven reasoning. This was leading to unnecessary costs and resource wastage.
About The Customer
GC is the largest petrochemical company in Thailand and the third largest in Asia. The company is involved in the manufacturing and distribution of a wide range of petrochemical products, which serve as basic feedstock for downstream industries such as packaging, apparel, communications and electronic equipment, electrical appliances, vehicles, construction materials, engineering-based plastics, agricultural equipment, and more. With a constant focus on innovation and technology, GC is committed to improving the way people live through its products. The company is comprised of a large team of engineers who are responsible for 70% of the business operations.
The Solution
GC embarked on a digital transformation journey, focusing on three dimensions: business transformation, technology transformation, and people transformation. The company chose Alteryx for its ability to democratize data, automate manual processes, and provide quicker insights for improved decision making. Alteryx served as the catalyst for change at GC, particularly for its team of engineers. They used Alteryx to gather and analyze data, which led to the discovery that they could extend the life of their catalysts by up to 40%. This resulted in significant cost savings and resource optimization. Furthermore, GC leveraged Alteryx's predictive suite of tools to make better feedstock purchasing decisions. They used sales, production, pricing data, and plant conditions from disparate systems to create a user-friendly algorithm that provided deeper insights and allowed for advanced analytics reskilling and upskilling.
Operational Impact
Quantitative Benefit
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