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Grant: Engage Grants Program

Saint Mary's University

$25,000.00

A Predictive Analytics Engine for Supporting Store-Level Business Decision-Making

FY 2016-17

Summary
CeQuotia is a Halifax-based marketing company specializing affordable business analytics and datavisualization solutions for small and medium sized Canadian retailing companies. The current existingCeQuotia business analytics software solution lacks of predictive analytics features. The company is at presentkeen on obtaining a predictive analytics engine which can empower the company to provide predictions andrecommendations to its clients for store-level decision making. As there is no suitable system available for thecompany, this project is to develop a prototype of a predictive analytics engine with common predictiveanalytics features as well as the unique features for predicting the price elasticity of demand of a product andthe profitability of a store liquidation. The proposed system will integrate the customer survey data collectedby CeQuotia with the inventory data and historical sales data collected by the client of CeQuotia, namely aretailing company, for predictive analytics. The system will be designed and implemented based on the state ofthe art data mining and web portal technologies. In the short term, the proposed system will help CeQuotia toenhance its current business analytics software solution. In the long term, this system will enable the clients ofCeQuotia, namely small and medium sized Canadian retailing companies, to make effective and profitablebusiness decisions.
Program
Engage Grants Program
Location
Nova Scotia, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
493267-2016
Name nom
Wang, Hai
Department département
Finance, Information Systems, and Management Science
Organization id
85
Institution établissement
Saint Mary's University
Province en
Nova Scotia
Province fr
Nouvelle-Écosse
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2016
Competition year année de concours
2016
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
1551
Committee name en
Atlantic Internal Decision Committee
Committee name fr
Comité de décision interne pour l'Atlantique
Area of application code
802
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Information systems and technology
Area of application fr
Systèmes d'information et technologie de l'information
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
A Predictive Analytics Engine for Supporting Store-Level Business Decision-Making
Keyword
NSERC
Application summary
CeQuotia is a Halifax-based marketing company specializing affordable business analytics and datavisualization solutions for small and medium sized Canadian retailing companies. The current existingCeQuotia business analytics software solution lacks of predictive analytics features. The company is at presentkeen on obtaining a predictive analytics engine which can empower the company to provide predictions andrecommendations to its clients for store-level decision making. As there is no suitable system available for thecompany, this project is to develop a prototype of a predictive analytics engine with common predictiveanalytics features as well as the unique features for predicting the price elasticity of demand of a product andthe profitability of a store liquidation. The proposed system will integrate the customer survey data collectedby CeQuotia with the inventory data and historical sales data collected by the client of CeQuotia, namely aretailing company, for predictive analytics. The system will be designed and implemented based on the state ofthe art data mining and web portal technologies. In the short term, the proposed system will help CeQuotia toenhance its current business analytics software solution. In the long term, this system will enable the clients ofCeQuotia, namely small and medium sized Canadian retailing companies, to make effective and profitablebusiness decisions.