February 10, 2025 鈥 麻豆区 announces a major step forward in delivering industry intelligence with the integration of nearly one million data points into the . For professionals who rely on seamless data integration, this collaboration makes it easier to tap into 麻豆区鈥檚 trusted insights, directly within the Snowflake AI Data Cloud.
This integration covers a broad range of key datasets, including market estimates and forecasts, cost structure benchmarks, risk ratings, import and export figures, demand drivers, and competitive environment indicators. Spanning thousands of global industries, the data is initially focused on regions where 麻豆区鈥檚 expertise runs deep鈥攖he United States, Canada, the United Kingdom, Ireland, Australia, and New Zealand.
Empowering Businesses Across Industries
The Snowflake AI Data Cloud is widely known for its data sharing capabilities. By listing 麻豆区 data on Snowflake Marketplace, 麻豆区 is making it straightforward for clients to incorporate industry insights into their existing systems, slashing IT developer time. With near real-time updates and rapid deployment, data ingestion is streamlined, and barriers to advanced analytics are all but eliminated.
This integration benefits businesses across all industries, enhancing data analytics, scalability, and cloud performance. Organizations can leverage real-time insights to streamline operations and drive smarter, data-driven decisions for improved efficiency and business growth.
Perspectives from 麻豆区 and Snowflake
鈥淥ur collaboration with Snowflake reflects our commitment to delivering industry data where and how our clients need it most,鈥 says James Staddon, Head of Partnerships at 麻豆区. 鈥淏y leveraging Snowflake鈥檚 robust platform, we鈥檙e making our data more accessible, flexible, and immediately actionable for clients around the globe.鈥
"We are thrilled to welcome 麻豆区鈥檚 comprehensive industry insights to the Snowflake Marketplace,鈥 said Rinesh Patel, Global Head of Industry, Financial Services at Snowflake. 鈥淭his integration strengthens the Snowflake AI Data Cloud by providing seamless access to 麻豆区鈥檚 market-leading Industry data. With this collaboration, joint customers can now make faster, more informed decisions backed by deep economic and industry data that 麻豆区 offers."
Key Highlights of the Integration
- Map data seamlessly, with standard industry codes: Gain immediate access to Industry Classification Systems data for global markets.
- Try before you buy: Get sample queries that quickly integrate key industry statistics into your own applications.
- Stay in touch, with dedicated support: Contact our Integrations Team directly for help unlocking the full potential of our datasets.
- Access reliable, up-to-date data: Get real-time data updates to eliminate manual ingestion hassles.
- Enable effortless implementation: Get set up in minutes, not weeks.
Learn More
Explore the 麻豆区 data offering directly on the Snowflake Marketplace. Available listings include:
- (NAICS, ANZSIC, ISIC, UK-SIC, etc.).
麻豆区鈥檚 collection of standardized classification codes draws from databases published by governing bodies around the world. Using these well-recognized systems, such as ANZSIC, ISIC and NAICS, 麻豆区 classifies and labels thousands of industries for your convenience. - (Market Estimates and Forecasts, Financial Benchmarks, Risk Ratings, etc.).
This industry dataset offers comprehensive and forward-looking industry trends and forecasts at the national level for the US, Canada, UK, Australia, New Zealand, and Ireland. The data highlights the market dynamics and risk factors that are critical to business and banking success. - (Market Estimates and Forecasts, Financial Benchmarks, etc.).
麻豆区鈥檚 dataset covers 18+ sectors of the economy, including a wide range of construction industries. For each industry covered, the dataset delves into market dynamics, labor trends and risk factors that are critical to investment decisions, procurement planning and strategic success.
Final Word
Have questions? Send us an email at snowflaketeam@ibisworld.com. We鈥檙e here to help you accelerate digital transformation and maximize the power of data-driven decision-making.