Just a mini ppt on the basis of research

1. Walmart
Case Study

2. 01
Implementation
Setup for their Data
Analysis
Achievements
Achievements by
using Big Data
Introduction
Use of Big Data at
Walmart
02 03

3. 1.
Introduction
Use of Big Data at Walmart

4. “
Walmart is the largest retailer in the world and
the world’s largest company by revenue, with
more than 2 million employees and 20,000
stores in 28 countries.

5. Why Big Data?
○ To make Walmart pharmacies more efficient
○ To improve store checkout
○ To manage the steps of supply chain
○ To optimise product assortment
○ To personalise the shopping experience

6. What data is
analyzes?
○ What consumers buy in-store and online?
○ What is trending on twitter?
○ Local events happening in the world
○ Effect of local weather on buying patterns?

7. 2.
Implementation
Setup for their data analysis

9. How much data
Walmart has?
○ Walmart collects 2.5 petabytes of
unstructured data from 1 million customers
every hour
○ Walmart made a move from the experiential
10 node Hadoop cluster to a 250 node
Hadoop cluster in 2012
○ Walmart has data of close to 145 million
Americans of which 60% data is of US adults

10. 3.
Achievements
Achievements using Big
Data

11. Achievements
○ Launching new products became predictive
○ Better future context using the predictive data
○ Customized recommendations to increase sales
Also...

12. 24.5
Crore
Visiting
Customers
3
Lakhs
Social Mentions
per week
3.6
Crore
Dollars across
US every day
Traffic Social Revenue

13. Thank You!
Margi Patel (18012011043)
Shivam Patel (18012011083)
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