The client is a globally recognized leader in video communication, enabling virtual collaboration through its unified communications platform. With a growing portfolio of products and a rapidly expanding user base, sales and marketing teams relied heavily on timely product insights to guide campaigns, measure engagement, and drive adoption.
However, manual reporting processes and fragmented data sources limited visibility into product usage, performance, and customer behavior. Teams lacked a unified view of insights across internal stakeholders and external partners. Data collection and reporting workflows were time-consuming, slowing sales and marketing initiatives. At the same time, the existing setup could not scale to support increasing data volumes and growing analytics needs.
The organization needed a modern product intelligence platform to automate reporting and enable faster, data-driven decisions.
Ascendion designed and implemented a scalable product intelligence platform that unified data ingestion, processing, and analytics to support faster and more reliable reporting.
Structured Data Architecture for Consistent Insights:
A medallion-based data lake architecture was implemented with bronze, silver, and gold layers to organize raw, curated, and business-ready datasets. This structure improved data quality, governance, and transparency while creating a consistent foundation for analytics and reporting.
Automated and Reusable Data Pipelines:
We developed a configuration-driven ingestion framework to automate data onboarding into the platform, reducing manual effort and improving reliability. Reusable data patterns were also built to standardize ingestion, transformation, and consumption workflows, allowing the platform to scale as new data sources and analytics requirements emerged.
Tech Stack:
AWS, Snowflake, Apache Airflow, dbt
The new platform created a unified foundation for product intelligence, enabling faster insights and more efficient operations for sales and marketing teams.
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
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