You can choose to explore how Snowflake can help with:

• Data Engineering: Snowflake simplifies and accelerates data engineering workflows by providing a single, unified platform for all data types. This eliminates the complexity of managing different systems and helps them aggregate data in a standardized, scalable way. With tools like Snowpipe, J.D. Power can automate the ingestion of massive datasets to power near real-time insights. Additionally, features such as Zero-Copy Cloning allow data engineers to instantly create cost-effective copies of data for testing, development, and sandboxing without adding to storage costs, which dramatically speeds up their data pipeline development and time-to-market for new data products.
• Secure Data Collaboration: With Snowflake’s secure data collaboration, J.D. Power can break down internal data silos and accelerate product development. The platform’s unified architecture allows teams across the organization to access a single source of truth, regardless of which cloud they’re on. This eliminates the need for complex data movement and redundant copies, ensuring everyone is working with the most up-to-date data. By enabling seamless, governed sharing of live data, J.D. Power can empower its data teams to collaborate more efficiently, speeding up the development of new data products and insights.
• Data Monetization and Marketplace: As a leader in consumer insights, J.D. Power has an opportunity to generate new revenue streams by monetizing its proprietary data. The Snowflake Marketplace provides a seamless platform to list and sell data products to a vast ecosystem of Snowflake customers. This approach eliminates the need for cumbersome data transfers and APIs, allowing clients to access the most current insights instantly. Additionally, J.D. Power can enrich its own data by easily accessing and integrating datasets from other providers on the Marketplace.
• Enhanced Analytics and AI: J.D. Power can use Snowflake’s platform to build and deploy advanced analytics and AI solutions at scale, creating more powerful insights for its customers. With Snowpark, data scientists can use familiar languages like Python to develop data pipelines and machine learning models directly within Snowflake, eliminating the need to move data. Additionally, capabilities like Snowflake Cortex democratize AI by providing pre-built functions that analysts can use with simple SQL commands. This allows a broader range of teams at J.D. Power to quickly apply AI to their data, speeding up the development of new, intelligent data products and accelerating time-to-market.