Data Mining in Automotive Industry

Introduction of the data mining process ensures that the automotive industry gets highly benefitted with its data analysis and hence decision making. This ensures that the data collected via the platform of data mining are highly accurate and hence decision made are also accurate.

INTRODUCTION OF
DATA MINING IN
AUTOMOTIVE INDUSTRY

INTRODUCTION
Introduction of the data mining process ensures that the automotive
industry gets highly benefitted with its data analysis and hence decision
making. This ensures that the data collected via the platform of data
mining are highly accurate and hence decision made are also accurate.

DATA MINING DISRUPTION
The disruptions are as follows: -
• Better decision making of the architecture.
• Better marketing strategy deployment
• Better fuel management

CHOSEN CRITERIA
• Usage of data mining in the process of the architecture development of
the system are the major aspects that ensures that proper
management of the construction system is performed as per the data
that are gained via the platform of data mining and hence providing a
better understanding of the client requirement.

BEFORE IMPLEMENTATION
• Manual data collection is to be made via survey
• Decisions are made via data collected with manually collected data
base.
• Not very efficient decision point
• Predicted outcome

AFTER IMPLEMENTATION
• Data collected via data mining platform
• Decisions are made with the help of data mining
• Efficient decision points present
• Improvisation expected

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