The DataSphere Lab
The DataSphere Lab is an ecosystem where industry leaders, academics & students can build advanced analytics, machine learning & AI solutions within the retail sector.
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First demo coming soon!
The DataSphere Lab mobilizes academics, students, and industry leaders to build a platform for advancing analytics, machine learning, and AI solutions that Retail organizations of all stripes can use to improve their revenue effectiveness and reduce time to insight.
The DataSphere Lab at the Desautels Faculty of Management at Ï㽶ÊÓƵ in collaboration with the Bensadoun School of Retail Management and the Master of Management in Analytics, is a cross-faculty initiative.
Leveraging funding from the Ministère de l’Économie, de l'Innovation et de l'Énergie (MEIE) we are providing companies, students and faculty with data management, anonymization, synthetization, and other data/analytics services and support.
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Business leaders are under more pressure than ever to increase revenues and improve profit margins using a more objective and consistent approach.
At the core of the transition toward a more data driven decision business model is the question:
Are organizations willing to invest in the proper data and technology infrastructure in order to propel them forward as business uncertainty abounds?
Managing such trade-offs is complex and requires a long-term vision in solution building around data and decision sciences.
A major challenge facing the transition is the lack of alignment between organizations that have the knowledge and capital to implement such a vision, and the smaller players that may not. If we all make more efficient decisions, the collective knowledge creates a tide that can lift all boats.
In response to this need, we are launching this practical project-based data-to-insights-hub with a mandate to help businesses across industries and sizes improve their data and automation outcomes.
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With funding from the Ministère de l’Économie, de l'Innovation et de l'Énergie (MEIE)
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