This document discusses analytics in the automotive industry. It provides an introduction to the industry, noting that two-wheelers make up 80% of the market share. It then discusses how analytics are used to build smarter vehicles, understand customer behavior, and enable autonomous driving. Two case studies are presented: one where Audi partnered with Adobe to improve their website and customer experiences, and another where top automakers use OpenStack Hadoop to create private clouds to support big data initiatives and improve quality assurance.

1. ANALYTICS IN
AUTOMOTIVE INDUSTRY
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VASAVI

2. INTRODUCTION TO AUTOMOTIVE INDUSTRY
• Automotive Industry consists of design, development,
manufacturing, marketing, and selling of motor vehicles.
• 9.5 percent of sales increasing every year.
• Exports grew 14.5 percent during FY2019.
• It does not include maintenance of automobiles
following delivery to end-user such as automobile
repair shops and motor fuel filling stations.
• 80% of market share is filled by two-wheeler.

3. COMPANIES LOGOS
• Drust.
• Sight Machine
• Zen Drive
• CARFIT
• Air
• Zene

4. AUTOMOTIVE ANALYTICS USAGE
• Build Smarter Vehicles (using data analysis tools in the design process by
analyzing performance-based metrics)
• Big Data In Automobile Analytics ( Autonomous driving geared with
sensors which measure everything from position, speed, direction, and
braking; to traffic signals)
• Customer Behaviour Analytics (Understand potential customers , improve
customer experience for retention )

5. CASE STUDY 1 AUDI PARTNERED WITH ADOBE
• Audi’s main challenges were: Audi Website
• Maintaining( How to reach customers)
• Brand consistency (Makes content available to all media)
• Develop websites efficiently
• Integrating applications for seamless online customer experiences
• Solutions:
• Adobe Marketing cloud ( To see overall sales volume)
• Adobe Analytics solutions ( To see performance of website, data-driven decisions,
best way to present information online)
• Adobe Experience Manager

6. CASE STUDY 2 OPEN STACK HADOOP CAR CLOUD
• Open Innovation ( wide range of applications from diverse business units)
• Data Analysis (Quality assurance and R&D)
• Real time Data ( How quickly respond to consumers and vehicle issues)
• Cost- effective infrastructure and software solutions reduce expense
• OpenStack is a cloud operating system that controls large pools of
compute, storage, and networking resources throughout a datacenter, all
managed and provisioned through APIs with common authentication
mechanisms.
• Top manufactures use this OpenStack to create an enterprise-wide private
cloud to support a big data initiative.