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Send Your Data, "Skip" the Errors: Sustainable Architecture for Reliable Imports

This event has passed.
Join us for this session to learn more about the principles of Sustainable Architecture, a data query design approach that will allow your team to create data extracts that are more robust, reliable, and easier to execute and maintain over time. This session is highly recommended for partners planning to adopt Operational Analytics (i.e., Retention Scores) in the upcoming year.

About Our Past Event

Can you or your colleagues relate to any of the following experiences? 

  • Data extracts that take hours and hours to generate?
  • Needing to check multiple systems to view key student information that could be displayed in Starfish?
  • Frequent tickets to Starfish Support to request a “full push” for data issues?

Then join us for this session to learn more about the principles of Sustainable Architecture, a data query design approach that will allow your team to create data extracts that are more robust, reliable, and easier to execute and maintain over time. Investing in this approach will allow technical teams to optimize the Starfish data extraction process. Furthermore, institutions using the Sustainable Architecture find it easier to implement additional Starfish functionality over time. 

This session is highly recommended for partners planning to adopt Operational Analytics (i.e., Retention Scores) in the upcoming year.  

  • Tuesday, January 24, 2023 | 2:00 p.m. - 3:00 p.m. Eastern Time