No-Headquarters/BOZEMAN, Mont.--(BUSINESS WIRE)--Snowflake (NYSE: SNOW), the Data Cloud company, today announced the launch of the Manufacturing Data Cloud, which enables companies in automotive, technology, energy, and industrial sectors to unlock the value of their critical siloed industrial data by leveraging Snowflake’s data platform, Snowflake- and partner-delivered solutions, and industry-specific datasets. The Manufacturing Data Cloud empowers manufacturers to collaborate with partners, suppliers, and customers in a secure and scalable way, driving greater agility and visibility across the entire value chain. With Snowflake’s Manufacturing Data Cloud, organizations can build a data foundation for their business, improve supply chain performance, and power smart manufacturing initiatives in today's digital-industrial world.
Manufacturers face an increasingly complex and competitive landscape, where supply chain performance and factory efficiency are critical to success. Fragility has been exposed in supply chains and digitization continues to be a massive opportunity to drive visibility into the supply chain and factory floor. As manufacturers look to address these issues, their efforts around modernization and resiliency require data and a willingness to embrace industry 4.0 initiatives, in which data is collected from sensor networks and smart machines and filtered through artificial intelligence (AI) and machine learning (ML). Traditionally, these data sets, which encompass both operational technology (OT) and information technology (IT) data, have been siloed and difficult to access and integrate.
The Snowflake Manufacturing Data Cloud enables manufacturers to address these industry challenges by:
- Building a data foundation: The Snowflake Manufacturing Data Cloud offers a single, fully-managed, secure platform for multi-cloud data consolidation with unified governance and elastic performance that supports virtually any scale of storage, compute, and users. It allows manufacturers to break down data silos by ingesting both IT and OT data and analyzing it alongside third-party partner data.
- Improving supply chain performance: Enable seamless data sharing and collaboration with partners for downstream and upstream visibility across an organization’s entire supply chain, coupling its own data with data from third-party partners and data from Snowflake Marketplace. By leveraging this data with SQL and Snowpark, Snowflake’s developer framework for Python, Java, and Scala, different teams can collaborate on the same data and build AI and ML models with confidence to forecast demand and enable critical use cases like supply chain control tower and spend analytics.
- Powering smart manufacturing: Native support for semi-structured, structured, and unstructured high-volume Internet of Things (IoT) data in Snowflake enables manufacturers to keep operations running remotely by streamlining operations within and across manufacturing plants, while also leveraging shop floor data in near real-time to predict maintenance needs, analyze cycle time, improve product yield and quality, and meet sustainability goals.
- Leveraging industry leading network of manufacturing partners: Take advantage of a rich partner ecosystem and industry-specific, prebuilt templates to drive innovation, reduce time to value, and build more valuable solutions.
“Data has never been more critical as manufacturers embrace smart manufacturing initiatives and steer their companies into an increasingly digital-industrial world,” said Tim Long, Global Head of Manufacturing at Snowflake. “The Snowflake Manufacturing Data Cloud and our ecosystem of partners gives manufacturers and their suppliers access to the data, applications, and services needed to effectively manage end-to-end supply chains, create new shop floor efficiencies, and deliver better products and services to their customers.”
Manufacturing Data Cloud Partner Solutions
Within the Manufacturing Data Cloud, Snowflake’s ecosystem of manufacturing partners includes:
- Applications Powered by Snowflake, including ones developed by Blue Yonder, Elementum, and Avetta, give manufacturers the ability to manage their supply chain with control towers, data-driven workflows, and measure risk across third-party contractors and suppliers.
- Snowflake Marketplace partners, including FourKites, Yes Energy, and data provider S&P Global, enable live access to a variety of data sources leveraging Snowflake’s privacy-preserving collaboration technology, to analyze ESG, supply chain disruptions, and market forecasts.
- Consulting and service organizations including Deloitte, EY, LTIMindtree, and phData, offer pre-built solutions for top priority use cases, including integrating yield analysis, shop floor visibility, energy management, and supply chain visibility.
- Technology leaders, including Amazon Web Services (AWS), Fivetran, and Tableau, provide integrations and out-of-the-box solutions so customers can attain deeper insights and realize the full power and ease of use of the Manufacturing Data Cloud.
Some of the largest, global manufacturing organizations are already using the Snowflake Manufacturing Data Cloud.
Customer use cases include:
- ABB - The technology leader in electrification and automation is using Snowflake to unify all of its data, including incoming raw materials from suppliers, plant production capacity, and sales orders, to streamline manufacturing operations and meet customer demand.
- EDF - The energy supplier for homes and businesses across the UK used Snowflake and its Snowpark Python development framework to build a complete machine learning operation solution in a few months, and deliver data products that lead to higher customer satisfaction and retention.
- Molex - A leading manufacturer of connectors, is using the Snowflake Manufacturing Data Cloud to fuel their digital transformation journey, including sharing data securely across the organization and with external partners and generating manufacturing shop-floor and business KPIs.
- Scania - The truck, bus, and industrial engine manufacturer uses Snowflake to continuously stream data from 600,000 connected vehicles and Snowpark for Python to prepare data for machine learning, which gives the company a comprehensive view for monitoring vehicle performance and supporting Scania’s product-related services.
Additional comments on the news
- “Snowflake’s Manufacturing Data Cloud has been crucial in helping ABB modernize and unlock the end-to-end business insights we need to become a more data-driven enterprise,” said Babu Kuttala, Chief Data and Analytics Officer of ABB. “With greater insights into available raw materials from vendors, factory capacity, and incoming sales orders, ABB has built a more resilient supply chain and factory floor and enabled us to better meet customer demand.”
- “A modern data platform with the Manufacturing Data Cloud has enabled our organization to spend less time wrestling with data management and governance,” said Rebecca Vickery, Data Science Lead, EDF. “With Snowflake, we’re focused on building models and generating insights to help power our general operations, which enables us to deliver data products and services that lead to higher customer satisfaction and retention, and help Britain achieve net zero.”
- “Snowflake’s Manufacturing Data Cloud has provided the data foundation we needed to unlock insights from the 150 million streaming messages we received from our fleet of 600,000 vehicles,” said Peter Alåsen, Product Owner, Scania. “With Snowflake, we've been able to reduce downtime for customers by recommending maintenance based on vehicle operation and workshop availability, while also increasing revenue-generating activities around service and with other digital or physical services.”
- Read more about Snowflake for Manufacturing and partner-tailored solutions for the manufacturing industry here.
- Register for Snowflake’s upcoming manufacturing webinar here.
- Visit Snowflake at Hannover Messe 2023 to learn more about Snowflake for Manufacturing and hear from top manufacturers already using Snowflake.
- Stay on top of the latest news and announcements from Snowflake on LinkedIn and Twitter.
This press release contains express and implied forwarding-looking statements, including statements regarding Snowflake products, services, and technology offerings that are under development. These forward-looking statements are subject to a number of risks, uncertainties and assumptions, including those described under the heading “Risk Factors” and elsewhere in the Annual Reports on Form 10-K and the Quarterly Reports on Form 10-Q that Snowflake files with the Securities and Exchange Commission. In light of these risks, uncertainties, and assumptions, actual results could differ materially and adversely from those anticipated or implied in the forward-looking statements. As a result, you should not rely on any forwarding-looking statements as predictions of future events.
Snowflake enables every organization to mobilize their data with Snowflake’s Data Cloud. Customers use the Data Cloud to unite siloed data, discover and securely share data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single data experience that spans multiple clouds and geographies. Thousands of customers across many industries, including 573 of the 2022 Forbes Global 2000 (G2K) as of January 31, 2023, use Snowflake Data Cloud to power their businesses. Learn more at snowflake.com.