{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Product Management Tech Brief By HackerNoon","title":"How Custom Data Models Drive Next-Generation Embedded Analytics","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/bdbc5b25\"></iframe>","width":"100%","height":180,"duration":566,"description":"\n        This story was originally published on HackerNoon at: https://hackernoon.com/how-custom-data-models-drive-next-generation-embedded-analytics.\n             Learn how custom data models drive impactful embedded analytics within SaaS applications and deliver custom experiences for users and providers alike.  \n            Check more stories related to product-management at: https://hackernoon.com/c/product-management.\n            You can also check exclusive content about #qrvey, #embedded-analytics, #custom-data-models, #software-development, #data-analytics, #data-visualization, #data-modeling-challenges, #good-company,  and more.\n            \n            \n            This story was written by: @goqrvey. Learn more about this writer by checking @goqrvey's about page,\n            and for more stories, please visit hackernoon.com.\n            \n                \n                \n                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.\n        \n        ","thumbnail_url":"https://img.transistorcdn.com/n3ID_NrF5QddQ_Z6tuv5hgjgSAbrGZ_F8SNbOJEHTJw/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzQxNDI1LzE2ODM1/ODMxMjQtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}