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Watch On-Demand: Streamlining Data Analytics with a Semantic Layer

How Ramsoft uses Cube & Microsoft Fabric to ensure customers have customized and intuitive embedded analytics

  • RamSoft
  • Picture of Dhyan Shah - the ParticipantLogo of Dhyan Shah company

    Dhyan Shah

    Product Manager at RamSoft

  • Picture of Jen Grant - the ParticipantLogo of Jen Grant company

    Jen Grant

    COO at Cube

In a recent webinar, Jen Grant, the COO of Cube, had an insightful conversation with Dhyan Shah, a Senior Product Manager at RamSoft. The two discussed crucial aspects concerning the advanced technology deployment in healthcare IT and medical imaging. Several key takeaways emerged from this exchange, offering valuable insights into the nuanced world of data analytics and enterprise-level SaaS ecosystems.

1. Choosing the Right Data Stack

Choosing the suitable data stack is more nuanced than opting for popular choices. As explained by Dhyan Shah, RamSoft uses a combination of Microsoft Fabric and Cube to manage, monitor, and visualize data. Microsoft Fabric is employed for data storage and management, while Cube is utilized as a middle layer for data querying and visualization, translating user selections into complex SQL queries.

2. Importance of User-Driven Experience

Simultaneously, the user-driven experience emerged as a recurring theme during the discussion. Dhyan highlighted the importance of a seamless user experience, stressing how the usability of an application can impact user satisfaction. The incompatibility between the application and any data tooling can lead to confusion and require additional support, underlining the need for congruous design and user experience.

3. Security Considerations

Data security remains paramount, as user bases are spread across regions and organizations. RamSoft's architecture reflects this understanding by opting for multi-tiered access control, enabling data isolation on a regional, company, and even sub-organizational level. Such a data segmentation strategy helps regulate access, preventing unauthorized exposure.

4. AI Integration and Data Access Simplification

The intersection between AI and data access simplification also surfaced in the conversation. Dhyan elucidated RamSoft's strategy to incorporate AI into their data stack, highlighting the utility of AI in simplifying SQL query creation. The ability to translate natural language into SQL queries, supported by Language Learning Models (LLMs) and Generative Pretrained Transformers (GPTs), significantly simplifies data access and interaction, augmenting user accessibility to complex data ecosystems.

5. Cloud-native Solutions and Future Planning

Lastly, Dhyan revealed why RamSoft opted for Cube Cloud over Cube Core as they wanted a cloud-native solution that would allow them to leverage their expertise effectively. They wanted to make the most out of APIs and SDKs, and Cube Cloud provided that flexibility. Additionally, Azure Fabric's future capabilities were discussed, with hints at future plans to expand and leverage their data model using Cube.

The conversation provided rich insights into the implementation and management of enterprise-level SaaS software for medical imaging clinics. Looking forward, the webinar also touched upon the role of AI in streamlining processes within the data stack, underscoring the rapid technological advancements in healthcare IT.