DATA LAKES AND WAREHOUSES – software
Healthcare software provider upgrades their SaaS application with embedded, feature-rich analytics.
Overview
Our client wanted to gain a competitive advantage with their SaaS application by offering feature-rich analytics embedded into the application.
Existing analytics was 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.
Our Solution
One Six Solutions 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.
One Six Solutions took advantage of many powerful cloud data architecture solutions to create the right arrangement for our client’s needs:
Snowflake’s data platform 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
A robust, scalable, and feature-rich data solution was integrated into the client’s SaaS application requiring minimal effort to enhance per future customer needs.
The highlight was to deliver a single warehouse and transformation architecture that catered to the multiple versions of their applications and customers subscribing to one of those different versions. Intelligence was designed in Matillion transformations for this approach.
The SaaS application performance improved as analytics was driven off a separate database and not contending for resources off their main application.
One Six was termed as one of their easiest vendors to work with.