A global pandemic, geopolitical conflict, and economic uncertainty have dominated the past few years. How manufacturing companies react to this vast supply chain disruption is critical if they are to thrive.
Fortunately, technological innovation represents an opportunity to build resilience and gain an edge. In fact, the advances in smart automation and data-driven insight are opening the door for manufacturers to collaborate more effectively. Companies that take advantage of this can build supply chain resilience.
By maximising the value of your data, you can continue to thrive well into the future and become more connected to your downstream partners than ever before. Snowflake’s manufacturing success guide, 8 Ways Manufacturing Companies Improve Supply Chain Resilience, Boost Yields, and Gain Efficiency with the Data Cloud, can help you do just that.
Snowflake’s guide takes a deep dive into how data can transform manufacturing efficiency, backed up by real-world case studies that show these solutions in action. Take a look at the guide for the complete picture, or keep reading for three of the key takeaways.
Now’s the time to maximise your manufacturing data
Maximising your data is no longer a “nice to have”; it’s a necessity.
By becoming more data-driven your manufacturing business will be able to make faster and more informed decisions. Being more agile in response to market changes reduces the impacts of disruption, wherever it may come from. From capitalising on the Internet of Things (IoT) to breaking down data silos across your business, modernising your data infrastructure ensures you can take advantage of efficiencies as the manufacturing industry continues to digitally transform.
There are plenty of benefits to doing more with your manufacturing data. Here are three powerful use cases to help you get started.
1. Optimise supply chain data
Supply chain data contains vital analytics that power your inventory, logistics, and product development. But without the right infrastructure this data can be siloed and difficult to share across departments.
A powerful cloud data platform can give you near-instant, elastic scalability of compute and storage for real-time insight across your business – even as it grows. This can help you make smarter, more data-driven decisions to boost operational efficiencies.
2. Enable secure data sharing
Digital transformation requires breaking down data silos. When you can securely and easily share data across departments and subsidiaries, you can start new conversations internally and externally. Collaborating on a wider range of datasets to extract new insights is key to driving innovation.
That’s why data sharing capabilities are a huge part of the Data Cloud. You can easily share data without copying or moving it – increasing privacy and control. You can also seamlessly ingest real-time information – such as trends in weather and geopolitical events – and blend it with data from your internal systems to help you predict and prepare for any risks to your supply chain.
3. Use IoT data ingestion for smarter manufacturing
IoT opens up a world of new manufacturing opportunities owing to the amount of data it creates – but this influx of data can overwhelm legacy systems.
That’s where the Data Cloud is different. It’s designed to easily ingest all data types, structured, semi-structured, and unstructured, in an easy-to-use, agile, and unified platform. By combining IoT data with other insights, you can get a comprehensive view into your operations, enable predictive maintenance, and reduce potential downtime – boosting productivity.
More on the benefits of Digital Transformation in Manufacturing. Click Here.
Read the manufacturing success guide for more insight and real-world case studies
This only scratches the surface of what manufacturers can achieve with Snowflake’s Manufacturing Data Cloud. To discover how it transforms financial reporting, logistics, yield, and more, check out 8 Ways Manufacturing Companies Improve Supply Chain Resilience, Boost Yields, and Gain Efficiency with the Data Cloud.
And don’t forget, the guide illustrates each use case with a real-world case study, too, so you can see the tangible benefits manufacturing businesses like yours are already experiencing.
