Our client, serving a large base of customers across multiple modules and products, faced a critical roadblock: they lacked the analytical capability needed to extract deeper insights from their growing datasets. Their legacy systems produced data in varied formats, and integrating external third-party data sources only added to the complexity.
What they needed was not just modernization, but a way to make data easily accessible and consumable across the organization. Creating a marketplace model for data access was essential to ensure customers could seamlessly explore, integrate, and apply insights for smarter decision-making.
Ascendion partnered with the client to design and implement a scalable, modern data ecosystem that simplified access, enhanced performance, and enabled a marketplace approach.
Right Tech Stack for Performance and Usability:
We provided a carefully evaluated tech stack recommendation to ensure high performance, seamless compatibility, user-friendly interfaces, and optimized costs. This set the foundation for the client’s data transformation journey.
Snowflake-Powered Modern Data Platform:
A flexible onboarding architecture was built on Snowflake, allowing data from multiple legacy and third-party systems to be integrated smoothly. The new unified platform eliminated silos and ensured consistent, reliable data availability across the enterprise.
Data Fabric for Business Alignment:
Recognizing the variety of functional modules in use, we deployed a data fabric-based architecture. This enabled smoother sharing and connectivity of data assets, aligning data consumption with business needs.
Marketplace Model for Data Sharing:
We delivered a Snowflake Marketplace and enterprise-wide data sharing model where customers could browse, select, and integrate datasets directly into their Snowflake platform—making data truly self-service and instantly actionable.
Tech Stack:
Snowflake for core platform, flexible onboarding architecture, and data fabric-based design for enterprise-wide scalability.
At BMS, we wanted our consultants to focus on the possible, freeing up time lost to reading endless CV’s that could instead be used to really engage with people who are looking for that first step in their sales career. The solution we adopted found the right balance between machine efficiency and human empathy.
– Graham Halewood,
Chief Operations Officer
Case studies
Case studies
Case studies
Case studies
Case studies
Case studies
Case studies
Case studies
Thanks for submitting the form.
Your interest has been captured.