From Big Data to Big Decisions: Three Ways Analytics Can Improve the Retail Experience


Question Description

The quantity of information currently being generated these days is not just data being gathered for analysis. We’re also reminded how important it is for people to be able to gather and synthesize information from a great number of sources. This lesson presents an opportunity to practice that skill.

1. (at least 3 full pages) There are a few terms used in many articles relating to “Big Data” and because they are commonly used in the business press, the authors make the assumption that the reader has a working knowledge of them.

  • Balanced Score Card
  • Cloud Computing
  • Value Chain

For each of the terms, find three sources on the internet. Synthesize the knowledge from each site to provide your own explanation in your own words. Please don’t use sites that provide only simple definitions or cut and paste from your references. Be sure to include your references in your submission.

Explain how these terms relate to the use of big data in a CRM system. Reference at least two of your reading assignments in your response to each topic.

This assignment is due on Sunday by midnight. Please double space, write in essay format, and properly cite where needed.

Tutor Answer

School: Boston College


Student’s Name 1

Case Study: Peerless Products
Student’s Name
Institutional Affiliation

Student’s Name 2
The case presented on Peerless Products, Inc., represents a business dilemma that faces
the well-known electronics manufacturer. The problem presents itself when the company
manages to expand into china but ends up having a supply lead time increase of up to four
weeks. This defect in the supply chain ends up increasing the company’s overall operation costs.
Principles of supply chain management such as the one faced by Peerless products are best
evaluated by the use of multiple theories derived from economic principles such as transaction
cost theory, and strategic management theories such as resource-based view (Choi, Thomas Y.,
and Kevin Dooley).

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