Adastra and Microsoft worked collaboratively to perform a data center migration to the Azure cloud that brought over S500k savings on hardware and maintenance.
Adastra implemented an Azure-based solution that ensures seamless integration of all analytic services through Synapse and provides an online, modern reporting.
Adastra developed a predictive data model that brings 80% ability to predict out-of-stock items in Retail.
Concordia University engaged with Adastra to design and build a Microsoft Azure data platform which helps them generate insights efficiently.
Adastra delivered an end-to-end POS data management solution that consolidates data from different retailers’ POS systems and provides interactive reporting.
We established an RPA CoE developing a series of bots that extract information from different legacy applications and assign processes or tasks automatically.
The University of Guelph, Adastra, and Microsoft collaborated to design and implement an application for their researchers to manage their genomic data.
Adastra developed an intelligent search system based on Azure Machine Learning, which provides a single common interface and ease of use.
Adastra implemented a Power BI solution, based on the Azure Data Lake, to drive greater business insights and tailor a superior data visualization UX for the ESA.
Microsoft and Adastra worked together to co-develop the best solution and capabilities to meet and scale their architecture worldwide, including regional redundancies, standardize processing and align policies and regulations.
Adastra architected and implemented an enterprise Data Warehouse, leveraging Amazon Redshift to replace AstraZeneca’s on-premise Oracle and Business Objects solution, instilling a set of Governance best practices and accelerators to ensure trust and accuracy.
Adastra worked with MetLife to build a solution that would streamline the application procedure, significantly decrease the need for manual verifications, and reduce processing delays.