How Custom Data Models Drive Next-Generation Embedded Analytics

04/06/24 • 9 min

This story was originally published on HackerNoon at: https://hackernoon.com/how-custom-data-models-drive-next-generation-embedded-analytics.
Learn how custom data models drive impactful embedded analytics within SaaS applications and deliver custom experiences for users and providers alike.
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This story was written by: @goqrvey. Learn more about this writer by checking @goqrvey's about page, and for more stories, please visit hackernoon.com.
Custom data models play a crucial role in embedded analytics, offering flexibility and scalability for SaaS providers and users. Qrvey's cloud-native platform addresses data modeling challenges, automates orchestration, and enhances user experiences with tailored analytics solutions.

This story was originally published on HackerNoon at: https://hackernoon.com/aws-redshift-vs-snowflake-a-comprehensive-guide-to-embedded-analytics-solutions.
Discover the importance of embedded analytics within SaaS applications and the critical role of data warehousing solutions like AWS Redshift and Snowflake.
Check more stories related to product-management at: https://hackernoon.com/c/product-management. You can also check exclusive content about #embedded-analytics, #data-warehousing, #aws-redshift, #snowflake, #application-development, #saas, #data-analytics, #good-company, and more.
This story was written by: @goqrvey. Learn more about this writer by checking @goqrvey's about page, and for more stories, please visit hackernoon.com.
Embedded analytics is vital for modern SaaS applications, enabling real-time insights and better decision-making. AWS Redshift and Snowflake are leading choices, each with unique advantages. Redshift offers scalability within the AWS ecosystem, while Snowflake provides flexibility and cloud agnosticism. Consider technical requirements and cost constraints to choose the right solution for your embedded analytics needs.