Shivanand R Koppalkar BIAM 530 Week 7 Lowes BI and Data Mining Assignment
Shivanand R Koppalkar
Week 7 Assignment – Lowes – BI and Data Mining
Keller Graduate School of Management of Devry University
BIAM 530 – Developing and Managing Databases for Business Intelligence
Dr. Darlene Gail Ringhand
21st June 2015
Table of Contents
Introduction 3
References 9
Introduction MyLowes is a loyalty card offered by Lowe’s, the second largest home improvement retailer in the world. This card tracks historical transactions, aids in managing home improvement projects, and manages wish lists for future projects. This is not a revolutionary idea most retail stores now offer rewards programs associated with membership cards to better understand loyal customers and encourage spending through unique savings offers. Fred Meyer and Safeway each have well known rewards memberships where you swipe your card at the register and receive discounts at the fuel pump. They have even gone as far as including clipping free coupons where you go online and load additional manufacture coupons to your card for ease of use at the register.
MyLowes loyalty card has many advantages and disadvantages for customers in the type of data it collects. The major advantages come from the offers and rewards that can be given when Lowes can look into wish lists and determine what items will yield the highest return by volume sales. The types of projects being managed can also be key to determining how and which departments to expand within the store. According to a press release from Lowe’s Companies regarding the new MyLowes loyalty card, “it will revolutionize the customer experience with home improvement, allowing all purchases, in-store and online, to be tracked automatically and stored on their customer profile online” (Lowe’s Companies 2014). By understanding your customer and the needs through usable data can turn into usable information for business decisions and maximize shareholders profits.
Another major advantage for customers using the MyLowes
Week 7 Assignment – Lowes – BI and Data Mining
Keller Graduate School of Management of Devry University
BIAM 530 – Developing and Managing Databases for Business Intelligence
Dr. Darlene Gail Ringhand
21st June 2015
Table of Contents
Introduction 3
References 9
Introduction MyLowes is a loyalty card offered by Lowe’s, the second largest home improvement retailer in the world. This card tracks historical transactions, aids in managing home improvement projects, and manages wish lists for future projects. This is not a revolutionary idea most retail stores now offer rewards programs associated with membership cards to better understand loyal customers and encourage spending through unique savings offers. Fred Meyer and Safeway each have well known rewards memberships where you swipe your card at the register and receive discounts at the fuel pump. They have even gone as far as including clipping free coupons where you go online and load additional manufacture coupons to your card for ease of use at the register.
MyLowes loyalty card has many advantages and disadvantages for customers in the type of data it collects. The major advantages come from the offers and rewards that can be given when Lowes can look into wish lists and determine what items will yield the highest return by volume sales. The types of projects being managed can also be key to determining how and which departments to expand within the store. According to a press release from Lowe’s Companies regarding the new MyLowes loyalty card, “it will revolutionize the customer experience with home improvement, allowing all purchases, in-store and online, to be tracked automatically and stored on their customer profile online” (Lowe’s Companies 2014). By understanding your customer and the needs through usable data can turn into usable information for business decisions and maximize shareholders profits.
Another major advantage for customers using the MyLowes
References: Choudhary, A., Harding, J., Lin, H., Tiwari, M., & Shankar, R. (2011). Knowledge Discovery and Data Mining Integrated (KOATING) Moderators for collaborative projects Coco, C. T., Jamison, F., & Black, H. (2011). Connecting People Investments and Business Outcomes at Lowe 's: Using Value Linkage Analytics to Link Employee Engagement to Business Performance Coronel, C., Morris, S., & Rob, P. (2012). Database Systems: Design, Implementation, and Management, 10e, 10th Edition. [VitalSource Bookshelf version]. Retrieved June 15, 2015 from website: http://devry.vitalsource.com/books/9781285028231 Koch, R. (2015). From Business Intelligence to Predictive Analytics. Strategic Finance, 97(1), 56-57, Retrieved June 15, 2015 from EBSCOHost Database. Milliken, A. L. (2014). Transforming Big Data into Supply Chain Analytics. Journal of Business Forecasting, 33(4), 23-27, Retrieved June 15, 2015 from EBSCOHost Database. Morio, J. (2014). Linking Business Intelligence to Strategy. Financial Executive, 30(4), 66-69, Retrieved June 15, 2015 from EBSCOHost Database.