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Bank of America Case

In: Business and Management

Submitted By v377976
Words 1176
Pages 5
AMC Toyota Production System (TPS)
AMBA 640
Professor Breckon
Executive Summary This paper will examine the use of Data analytics and Sustainable Supply Chain for Acme Mexico City.
Introduction
Acme Mexico City is facing a major decision with finding the appropriate number of employees that will be needed on the floor during any given point during the day to meet the needs of the customer and creating a supply chain that will meet the demands.
Body
Data analytics refers to qualitative and quantitative techniques and processes used to enhance productivity and business gain. Data is extracted and categorized to identify and analyze behavioral data and patterns, and techniques vary according to organizational requirements. (Technopedia) By adding data analytics to Acme Mexico City is would give them a competitive advantage and achieve an insights into consumer shopping patterns that directly affect the business. Data analytics would help facilitate Acme’s decision on how many part time customer service agents to have on the floor at any given time. However, there are limitations with the use of data analytics.
Big data analytics is not only positive as it also offer some challenges. Data analytic technique requires powerful computers along with employees who are able to interpret the raw data. Data creates bigger haystacks. As we acquire more data, we have the ability to find many, many more statistically significant correlations. Most of these correlations are spurious and deceive us when we’re trying to understand a situation. Falsity grows exponentially the more data we collect. The haystack gets bigger, but the needle we are looking for is still buried deep inside. (Brooks) There is a book with the title, “Raw Data, Is an Oxymoron.” One of the main points was that data is never raw. Raw data is always structured according to the

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