Software-as-a-Service (SaaS) providers face the ongoing challenge of not just delivering innovative solutions but also ensuring their offerings remain competitive in a data-driven world. Dive into how one SaaS provider overcame the constraints of subpar legacy reporting and emerged with a competitive edge by offering feature-rich analytics embedded into the application.

The Challenge: Inefficient Legacy Reporting

Chordline Health, a healthcare software provider, wanted to gain a competitive advantage with their SaaS application by offering feature-rich analytics embedded into the application.

Existing analytics were driven off the single-tenant operational databases using complex SQL statements that could not be reused across customers due to the different data models per customer. Any needed changes were restricted by the legacy approach that required extensive labor and testing to enhance. The application experienced severe performance issues. A scalable solution was needed to expose the trove of data for customers that could be easily integrated into their application.

The Solution: Embedded, White-labeled Analytics

OneSix designed an end-to-end automated framework to load multi-model databases per customer into a Data Lake and transformed that into a multi-tenet Data Warehouse addressing Cases, Authorizations, To-do lists, and Compliance threshold reporting.

All new tools and platforms were introduced that would help automate new customer loads by using a simple control table. A live connection to the data warehouse using the powerful Snowflake engine served embedded analytics using Sisense visualization. The complex security model was simplified via two security tables that allowed bi-directional integration between Sisense and the SaaS application.

• Snowflake was leveraged to create a highly secure, scalable Data Lake and multi-tenant Data Warehouse environment
• Fivetran provided dynamic data pipelines per customer’s unique data model, loading data into the Data Lake, saving time and money on data engineering development​
• Matillion was the core data transformation technology used to integrate and cleanse single-tenant data to load in the multi-tenant Data Warehouse in preparation for visual analytics
• Sisense was leveraged for data visualization, seamlessly embedding a fully white-labeled product into the client’s existing platform

The Results: Performance and Cost Optimization

The implementation of the Embedded Analytics solution brought about significant positive changes for the SaaS provider:

• Improved SaaS Application Performance: By driving analytics from a separate database, the SaaS provider effectively segregated the workload. This separation reduced contention for resources on their main application, resulting in improved performance and responsiveness for end-users.
• Reduced Labor Time and Costs: The adoption of a single warehouse and transformation architecture streamlined data management across various application versions. This unified approach significantly reduced the laborious task of managing multiple data repositories and schemas, leading to considerable time and cost savings.
• Achieved Competitive Edge: By integrating feature-rich analytics directly into their SaaS application, the company gained a competitive advantage by providing real-time, insightful data to users without requiring external tools or platforms. This integration streamlined user experience and differentiated their offering in the market, enhancing user engagement and retention.

Unlock Growth with Embedded Analytics

The integration of feature-rich analytics within a SaaS application can fundamentally reshape the competitive landscape for software providers. As user expectations, market dynamics, and technological capabilities evolve, embedded analytics stands out as the beacon guiding software companies towards enriched user experiences, competitive differentiation, and strategic future readiness, making its adoption not just beneficial, but imperative.

For a deeper dive into how software companies can enrich user experiences and drive sustainable business outcomes with embedded analytics, view our comprehensive guide.