Grant: Engage Grants Program
University of Ontario Institute of Technology
$25,000.00
Big data based predictive analytics platform for supply chain rebates and customer analysis
FY 2015-16
Summary
Within Durham Region, 360 incentives was founded with a vision of dramatically improving rebate and incentive management by using the latest technology that provides leading edge analytics on the performance of their customers' rebate programs. To date they have utilised retrospective analytics to provide insights to their customer base. At present, 360 incentives lack expertise in newer approaches for Big Data analytics and knowledge discovery specifically in the area of real-time streaming analytics to create a systemic framework for new approaches for real-time performance metrics for rebate programs. Creating a new framework to support Big Data analytics of rebate programs represents an innovative technique to greatly enhance the
competitiveness of 360 Incentives. One current fundamental gap in supply chain innovation is providing greater insight on the actual end customer for suppliers rather than their current limitations of analytics relating to the purchasing patterns of the companies they supply to. Another limitation of current research directions is in relation to the analytics for the performance of various rebate campaigns offered by manufacturers.
Frameworks to enable the measurement of real-time customer purchasing rebates represents an open research area. Attainment of both can be achieved through new techniques McGregor wishes to explore through research with 360 Incentives that will begin with the research proposed within this NSERC Engage. We propose to build these new techniques on streaming analytics from Big Data generated by new approaches to stream sales and rebate data.
Within this NSERC ENGAGE research project we will utilise McGregor experience from her Big Data analytics research in the medical domain together with her prior industry experience in the retail sector in Australia to create a new approach for streaming analytics within the supply chain context for new approaches for flow through customer analytics and rebate analytics to all members within the supply chain. We will initially focus on the design of the data acquisition and data transmission components.
Program
Engage Grants Program
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
491954-2015
Name nom
McGregor, Carolyn
Department département
Business and Information Technology, Faculty of
Organization id
19222
Institution établissement
University of Ontario Institute of Technology
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2015
Competition year année de concours
2015
Award amount
25000
Program id
EGP
Program name en
Engage Grants Program
Program name fr
Programme de subventions d'engagement partenariat
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1553
Committee name en
Ontario Internal Decision Committee
Committee name fr
Comité de décision interne pour l'Ontario
Area of application code
1207
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Information, computer and communication technologies
Area of application fr
Technologie de l'information, des ordinateurs et des réseaux de communications
Research subject code
2700
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Information technology
Research subject fr
Technologie de l'information
Partie
1
Nb partie
1
Application title
Big data based predictive analytics platform for supply chain rebates and customer analysis
Keyword
NSERC
Application summary
Within Durham Region, 360 incentives was founded with a vision of dramatically improving rebate and incentive management by using the latest technology that provides leading edge analytics on the performance of their customers' rebate programs. To date they have utilised retrospective analytics to provide insights to their customer base. At present, 360 incentives lack expertise in newer approaches for Big Data analytics and knowledge discovery specifically in the area of real-time streaming analytics to create a systemic framework for new approaches for real-time performance metrics for rebate programs. Creating a new framework to support Big Data analytics of rebate programs represents an innovative technique to greatly enhance the
competitiveness of 360 Incentives. One current fundamental gap in supply chain innovation is providing greater insight on the actual end customer for suppliers rather than their current limitations of analytics relating to the purchasing patterns of the companies they supply to. Another limitation of current research directions is in relation to the analytics for the performance of various rebate campaigns offered by manufacturers.
Frameworks to enable the measurement of real-time customer purchasing rebates represents an open research area. Attainment of both can be achieved through new techniques McGregor wishes to explore through research with 360 Incentives that will begin with the research proposed within this NSERC Engage. We propose to build these new techniques on streaming analytics from Big Data generated by new approaches to stream sales and rebate data.
Within this NSERC ENGAGE research project we will utilise McGregor experience from her Big Data analytics research in the medical domain together with her prior industry experience in the retail sector in Australia to create a new approach for streaming analytics within the supply chain context for new approaches for flow through customer analytics and rebate analytics to all members within the supply chain. We will initially focus on the design of the data acquisition and data transmission components.
