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ANALYTICS IN
AUTOMOTIVE INDUSTRY
181146
VASAVI
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.
COMPANIES LOGOS
• Drust.
• Sight Machine
• Zen Drive
• CARFIT
• Air
• Zene
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 )
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
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.

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Automotive industry

  • 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.