Albert
Albert modernized its data ecosystem to handle retail data at scale. Faster reporting, better insights, and improved operations.
Mark Anthony Group (MAG)
The client partnered with Adastra to develop an agile, AI-enabled data platform, which utilizes a lakehouse architecture with AWS solutions.
Fleet Management Company
Thanks to the innovative solutions introduced by our team of experts, significant cost savings were achieved without compromising their production efficiency.
Automotive Company
Our client wanted to identify high-value personas among its customers and potential customer base to improve efficacy of targeted marketing campaigns.
Financial Services Company
The client partnered with Adastra to develop a robust, scalable, cloud-based solution using Azure Synapse, Azure Data Factory, and Power BI.
Sports Company
Adastra deployed an end-to-end DevOps strategy for the organization, streamlining and boosting cooperation among development and operations teams.
Automotive Company
Adastra tailored and implemented a cloud analytics solution that analyzes the dealerships’ financial sustainability and assesses the dealerships’ risk of delinquency.
Automotive Company
Adastra deployed a Data Mesh and guided the client on Data strategy, Data Culture, Data Governance and Tech Stack to reshape the data landscape.
Automotive Company
Adastra’s tailored solution allows the global automotive manufacturer to cut energy costs and gain outstanding monetary and sustainability-related benefits.
Philip Morris
Adastra assisted Philip Morris to automate their data consolidation process, previously managed through manual Excel files.
Energy and Utility Company
Our client partnered with Adastra to implement an Azure enterprise data service platform using Azure Synapse and create a cloud-focused data governance roadmap.
International Development Research Centre (IDRC)
Adastra implemented an Azure-based solution that ensures seamless integration of all analytic services through Synapse and provides an online, modern reporting.
Retail Company
Adastra developed a predictive data model that brings 80% ability to predict out-of-stock items in Retail.
Concordia University
Concordia University engaged with Adastra to design and build a Microsoft Azure data platform which helps them generate insights efficiently.
Spin Master
Adastra delivered an end-to-end POS data management solution that consolidates data from different retailers’ POS systems and provides interactive reporting.
