Spare Part Manufacturing Company is looking for a Big Data analytics solution that will pull data from the Datalog of the server to determine various issues

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%