Big data in manufacturing

1
Big Data in Manufacturing
2
Client Overview

• The Client is a leading Spare Part Manufacturing
  Company for Commercial Vehicles and Trucks.
• The Company loses revenue worth 500 Million to
  Fraud warranty claimants.
• Client is looking for a Big Data analytics
  solution that will determine
• Which Product comes back with repeated
  complaints.
• On which particular routes vehicles break down
  most number of times.

3
Business Solution

• We developed a Big Data analytics platform using
  Golang, Python, and Hadoop to pull data from
  Teradata.
• The Platform can produce Historical data analysis
  and Predictive Analytics based on The Hadoop Data
  storage.
• The client has a Data volume turnover of 2PB
  annually in the form of Structured as well as
  Unstructured Data.

4
Analytics provided

• Historical Data Analytics
• Clients who have made false claims
• Reasons for breakdown of vehicles
• Which product reported most complains
• Predictive Analytics
• Which spare part or product will report most
  number of breakdowns
• Which route will cause most breakdowns

5
Business Benefit

• 937 Vendors were found to be making False Claims
• Total claims against poor quality products have
  reduced by 50, and profit margin has increased
  by 250 million
• 250 Million was saved from being paid to false
  claimants
• There was a Cost Saving of 50

6
(No Transcript)