Walmart Retail Industry Big Data Analytic Outline.
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Paper outline.
Topic: Walmart Retail Industry big data analytic outline.
1. Introduction.
· Definition big data concepts.
· Walmart company background information.
2. Walmarts unexploited opportunities and the importance of the project to its business.
· Improve the quality standards of the companys products.
· How to improve human resource practices.
· Develop competitiveness in the market.
3. Walmart performance measurement metrics and key indicators.
· sales,
· profit,
· return on investment,
· customer happiness,
· Revenue per client/member (RPC)
· Average Class Attendance (ACA)
· Client Retention Rate (CRR)
· Profit Margin (PM)
· Average Daily Attendance.
4. Big data analytic tools that will help solve the problem and exploit the opportunity.
· Hadoop.
· Talend.
5. Data requirements.
· Source of data.
· Type of data.
· Methods of data collection.
· How to purify data.
6. Type of project management approach for big data implementation.
· Agile
7. Conclusion.
References
Appleton, L. (2017). Final reflections performance measurement and performance indicators. Libraries and Key Performance Indicators, 117-119. doi:10.1016/b978-0-08-100227-8.00013-3
Leve, J. (2017, October 1). Top 5 key performance indicators (KPIs). Retrieved from https://fit-pro.com/article-4227-Top-5-Key-Performance-Indicators-(KPIs).html
Walmart Staff. (2017, August 7). 5 ways Walmart uses big data to help customers. Retrieved from https://corporate.walmart.com/newsroom/innovation/20170807/5-ways-walmart-uses-big-data-to-help-customers
