Mesh.ai's Embedded Analytics Solution

Summary

On a mission to revolution performance management, Mesh.ai turned to advanced analytics to drive a cutting edge value proposition to their customers. Leveraging Visier, Mesh.ai quickly created a people-centric analytics value proposition and drove new revenue streams with their existing application.

Problems to be solved

As a dynamic start up, Mesh.ai was looking for a low overhead way to deliver innovative analytics to their customer base. Customers also were asking for custom reports and dashboards to support their unique needs.
Mesh.ai’s value proposition circled around near real-time insights to managers to help deliver better workforce outcomes and required a solution that supported that differentiation.
Mesh.ai wanted to quickly incorporate people calculations and metrics into their own native UX as well as with new embedded visualizations. Mesh also wanted to provide analytics self-service capabilities to empower their customers with direct access to their data.

Solution

Mesh.ai integrated the Visier People Data Platform to deliver an embedded data platform and analytics solution that had a proven track record with people analytics.
Mesh.ai leveraged the Visier People Data Platform to process their application data sources, deliver proven pre-built calculations and metrics and visualizations quickly and at a predictable cost.
Mesh.ai provided their customers with flexible, customizable analytics they could self-serve their own analytics.
Mesh.ai was able to create a new revenue stream through an advanced analytics offering.

How it works

Using Visier’s data connectors and APIs Mesh.ai integrated their application data into Visier’s People Data Platform.
Visier’s data ingestion processed and transformed Mesh’s data, including detecting and organizing events contained in the data.
Mesh mapped their data to the Visier People Data Model. As Mesh expands their application functionalities they can quickly add these new data fields to the model and update the analyses they deliver to their customers.
Mesh’s mapped data powers pre-built calculations, metrics and analytic content that they can use either through APIs or embedded visualizations, some of which are unique to people insights.
Mesh leveraged Visier’s Model and Query API to power existing visualizations within their application interface and iframed Visier’s visualizations into other parts of the Mesh.ai application.
Mesh’s customers are able to get timely and always-on analytics to answer their key people performance and engagement questions.