The School of EECS (formerly SITE) professors collaborate on IBM-funded business analytics research

May 05, 2011

With IBM increasing its investment in the uOttawa-based Centre for Business Analytics and Performance, the School of EECS (formerly SITE) Professors Liam Peyton and Daniel Amyot are heavily involved, working in collaboration with Greg Richards (Telfer) and IBM. Also collaborating are two Telfer professors, Craig Kuziemsky and Morad Benyoucef.

The new IBM investment of $7.9 million in business analytics software will help accelerate research around situational and social media analytics, healthcare operations and ecological/environmental monitoring. It will also aid in the continued preparation of curricula to help students gain relevant skills for careers in key industries such as health care, green infrastructure, clean energy and utilities, education, transportation and public service.

The proposed framework for situational analytics is based on professors Peyton and Amyot’s previous work on the application of the User Requirements Notation (an international standard developed mainly at the School of EECS (formerly SITE) to performance management and business intelligence.

Professors Peyton and Amyot are currently working on a new NSERC Collaborative R&D proposal to explore this framework further in healthcare, government, and small and medium-sized enterprises (SMEs).

In addition, professors Peyton and Amyot recently received a grant from the Business Intelligence Network , an NSERC Strategic Network, for a project titled BI-driven management of patient flows in health care organizations.

Once again, this research builds on two previous projects titled Evolving e-health business processes around accessible data warehouses (ORNEC, 2006-2008) and Performance management at the point of care: secure data delivery to drive clinical decision making processes for hospital quality control (CHRP, 2008-2011).

IBM business analytics software is used in organizations worldwide to sift through huge volumes of data from inside and outside the organization and better integrate operations and financial systems. The software helps organizations sense, respond and predict relevant market and business trends in real-time. This results in better decisions, more efficient operations and improved business performance.

Read more on IBM’s investment in the Business Analytics Research Centre.

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