Canner Enterprise Cloud a une interface basée sur le web, ce qui la rend difficile d'accès. L'expérience utilisateur est obstructive, ce qui rend la navigation et la prise en main difficiles.

Le fait qu'il soit basé sur le web le rend difficile d'accès. La courbe d'apprentissage n'est pas conçue pour offrir une expérience utilisateur. Il y a des aspects de Canner Enterprise Cloud qui ne sont pas bons du tout.

Cross-departmental database pipeline integration and automation: Previously, data analysis required 1-2 weeks of preparatory work, with an additional week for data retrieval requests. With the improvements, we can now update and process data immediately without human intervention, shortening processes and reducing personnel costs. Redefined responsibilities and working areas for data analysts and systems: Revenue data is highly confidential, especially in core systems' databases. By implementing the virtual hub, non-accounting personnel and systems can only connect through it (read-only), with separate working areas and records. This enhances data control and meets compliance requirements. Established lightweight Data Marts: Creating Data Marts is critical for data analysis but traditionally involved complex integration and normalization operations. With the virtual hub, each unit's systems can build their own Data Marts within authorized work areas without impacting others. This reduces redundant databases and decouples data layers. Accelerated data access speed: Legacy systems with outdated data structures only provided limited access and often caused delays. By redesigning the systems and structures and leveraging the aforementioned processes, we significantly improved the speed and scope of data queries, enhancing user experience and reducing development time.