Target Canada Erp Essay

1198 Words3 Pages

A Detailed Analysis on Target Canada ERP Implementation failure
Lavanya Pentyala
Regis University
10/04/2017

Abstract
Target is one of the largest and most successful retailers in united states. As part of business expansion, Target announced its launch in Canada. Target decided to implement a new application for Canada, as part of this they decided to implement SAP Supply Chain Management(SCM) Module. A typical SAP Supply Chain Management includes various modules that automate supply chain planning, supply chain coordination, supply chain networking, and Supply Chain Execution (SCE). Target team couldn’t succeed in the implementation of SCM modules, and it led to a major setback for Target in Canada. This paper discusses and describes the …show more content…

Target announced its plans to extend to Canada by purchasing the lease agreements of almost 220 Zellers stores. Target announced plans to open 133 stores and hire 27,000 new workforces to support its expansion into Canada. Target’s arrival was highly expected by consumers and feared by rival retailers. Target couldn’t use its in-house software for Canadian expansion, since it was built specifically for the use of Target in the United States, and couldn’t handle French characters or Canadian dollars. Target planned to start afresh. No currency or data conversion just set up a new system and entry. Target decided to implement a full SAP package solution, but the master data failure within the SAP system led to death of Target in Canada. (Gewirtz, …show more content…

Target didn’t plan for extending its existing data entry system, instead the data being used either had to be exported or entered from scratch. The company had to track around 75,000 products. Each product demand a lot of information. It wasn't just the width, height, and length of each item. The information includes the vendor, UPC code, pricing, weight, costs, and more. Essentially, each product needed a couple of pages of data to be entered in. During this process lengths were entered where widths needed to be. The wrong prices were entered. The wrong descriptions were entered. Low-level marketing assistants were pushed on impossible deadlines to enter thousands upon thousands of fields of information. The final information system has nearly 70% of data wrong. (Gewirtz,

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