Test

https://www.youtube.com/watch?v=tYva3PJU3-I

Summary

TL;DR — This discussion focuses on integrating data from Q and NCR point-of-sale (POS) systems into a unified data model. The goal is to enable near real-time reporting and analytics, ensuring that existing reporting functions remain operational while paving the way for new data products.

Key points

• The integration will involve pulling data from both Q and NCR APIs, with a focus on creating a standardized check and item level data model.

• Existing batch reporting will be maintained by feeding data from the new model into current tables, ensuring continuity.

• The project aims to support near real-time reporting needs, potentially replacing or augmenting existing applications like the 'notify' app.

• A critical aspect is ensuring compatibility and mapping of data, such as order modes and item IDs, between Q and NCR to maintain consistent reporting, even if it requires backend adjustments.

• Timelines and specific implementation details are still being determined and depend on coordination with the larger POS project team and resource allocation.

Takeaway — The successful integration of Q and NCR data into a unified, near real-time model is crucial for maintaining current reporting and enabling future analytics, with a strong emphasis on data consistency and compatibility across systems.