Piloting Self-Serve Analytics as a Service
This post is Part III of the “Building Data Services” series (Part II here).
Last month, we shared how we employ embedded analytics to power Coursera’s In-Platform Dashboards, serving ready-made descriptive and advanced analytics to partner institutions and enterprise customers. In this post, we summarize another application we piloted last year to support more custom analytical explorations for our partners: Self-Serve Analytics-as-a-Service.
The target customer we had in mind was stakeholders in partner institutions looking to implement and share custom analyses. Examples include the analyst staff who wants to build their own dashboards and…
Data solutions empowering university and industry partners, and enterprise customers
The mission of the data engineering team at Coursera is to democratize data, in service to Coursera’s mission of transforming lives through learning. As a part of that, we build tools and products that provide internal and external stakeholders with access to a range of actionable data.
In this series, we focus on the tooling we build for key external stakeholders — university and industry partners, and our enterprise customers. …
An embedded approach to in-platform analytics
In this installment, we cover Coursera’s In-Platform Dashboards, which serve descriptive and advanced analytics in easy-to-read visualizations directly on the site. At our partner institutions, these are consumed by instructors all the way up to program leaders; and among enterprise customers, from individual managers to heads of Learning and Development. The common thread? The need for aggregated insights for decision-making — and lightweight access to those insights, ideally right on the platform.
At Coursera, we’ve provided in-platform…
Data Leader @ Coursera