Excel in Remote Classrooms and Interactive Learning


Higher Education Industry Solutions

We help education institutions implement technology solutions that result in more engaging remote classrooms and interactive learning scenarios for both the staff and students. We leverage solutions such as Remote Student Labs, Interactive Learning, and Education Quality Analytics to help these institutions excel in this newer realm of virtual education. 

As schools around the world respond during COVID-19, the need for remote learning tools has never been more urgent. To make the transition to distance learning easier, we've built solutions on Azure that innovate the way educators deliver coursework. With services like Teams, Azure WVD, Development & Test Labs and Lab Services, we can tailor a solution to fit your curriculum needs, work towards a connected remote learning experience and help alleviate some of the stress in a changing education environment. 

Students today are intuitively digital. They have grown up with almost instant access to important information and a world of connected electronics at their fingertips. However, successfully executing Distance Learning is still proving to be a big challenge for many schools. We can help with our solutions that builds on the Microsoft Azure Bot Services, Conversational AI Services, and Augmented Platforms to design an interactive learning solution that aids students on their terms, at their convenience, and keeps them engaged. 

Today’s complex world puts significant pressure on universities, from acquiring funding to attracting quality staff and students. People turn to data to tackle these demands, but millions of student records, disparate data sources, and lacking institutional standards hinder their efforts. To quickly execute, analyze, and react to these challenges, companies need a simplistic and intuitive view of their data. Spyglass MTG leverages an integrated data platform on Azure. We source data from everywhere whether data resides in extractable flat files, database silos, or anywhere else, with Power BI and the Azure Data Platform to build a customized set of performance metrics and a “visual storyboard” universities can leverage to take action. 


Event and Incident Reporting covers the processes and procedures that your organization will use to protect its employees and the public. Ensuring employees have access to the latest policies and procedures is essential to ensuring the safe operations of the facility. Enabling employees to report issues, such as a broken computer or a large beverage spill, as quickly and accurately as possible enables the organization to effectively document and remediate the issue in an appropriate time frame. Office 365 and the Power Platform provide the tools to build a cost-effective Event and Incident Reporting platform that meets your unique needs.

Modernizing your portfolio of on-premises applications can enable you to gain strategic advantage and reduce costs. Adopting cloud techniques, such as microservices containerization using Docker and Kubernetes, enables the business to rapidly innovate and scale.

With HEAR, Spyglass can help Higher Education institutions implement analytics reporting systems to aid in better understanding the overall engagement and learning patterns of students. This solution helps to lower student dropouts and increase engagement rates.


Case Study

A higher education university grappled with a sprawling security monitoring setup across multiple platforms, inhibiting a unified view of security events and impeding timely responses to cyber threats. Spyglass intervened, creating a centralized analytics data model housed in an Azure Data Lakehouse, consolidating diverse monitoring data into a cost-effective, efficient cloud solution. Ingestion pipelines were established to load the warehouse, enabling ML and analytics tools to access the data.

This transformation empowered the client to correlate vast amounts of disparate data, unveiling previously hidden security patterns. Moreover, the ability to build ML models for predictive analysis now arms them to anticipate and prevent future attacks proactively.