Big data in manufacturing
                     Big Data in 
Manufacturin
g
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.
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.
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
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%