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UNDERSTANDING HOW
BUSINESS ANALYTICS
ARE USED IN THE
AUTOMOTIVE
INDUSTRY
AN ANALYSIS BY –
T.V. TEJUS NARAYAN
2037020
• Let us sit back and imagine about the perfect
automobile; Tesla Automobiles. What makes it
special? It has a self driving feature, changes
lanes when it detects a traffic congestion ahead
or prevention of mishaps. Or servicing the car
over-the-air. Doesn’t it feel like the future?
• But what if I tell you that the future is now?
Tesla is just one of the examples here. Almost
all the Automobile companies have started
transitioning to this. And this is thanks to the
usage of Big Data Analytics.
Understanding Business
Analytics
• Fundamentally, Business Analytics is a methodical explanation
of the industry’s data sheets, with an emphasis on analysis using
statistics. The tools of Business Analytics are used by
organizations that use data-driven decision making analysis. In
my case I would be shifting my focus on the Automobile sector
and the implications of these tools.
• The data-driven companies look at their data as an asset and
look at making it their advantage. The key ingredients of a
successful business analytics are – data quality and importantly
skilled analysts who understand the technology and the
business to using the data to gain insights that inform business
decisions.
Having understood the concept of
Business Analytics let us see how and
where these tools are used by
manufacturers in the Automobile
sector
1- PREDICTIVE AND ADVANCED
ANALYTICS
• The usage of predictive Analytics, the
quality management teams can process
large set information to highlight the
underlying cause. Early detection of any
issues is possible thereby eliminating any
future occurrences.
• With the use of Big Data Analytics a more
friendly, transparent and a user
experience with peace of mind is
guaranteed.
2- DATA ANALYTICS
The advancements in the SCM Analytics models
transform the decision making from being a reactive
to proactive
1. Supply Chain Optimization – A comprehensive
system supply chain analytics can reveal any
potential flaws throughout the automobile supply
chain ecosystem
2. Supplier Management – Adopting new techniques
to an over-expanding data set, analytics helps the
automobile manufacturers improve their visibility
outside of their domain
3. Visibility Tracking – The Automotive players can
leverage analytics for better tracking of resolved
and unresolved issues and performances.
3- DATA FROM SENSORS
1. Most of the leading automobile players rely on
Predictive Analytics and collaborate with the
government to predict and identify high traffic
congestion areas based on data collected from
automobiles for building of smart cities.
2. The data generated by sensor driven cars (which
in India is known as Connected Car tech ) brings
into limelight the driving behavior, speed, brake
boost, acceleration times, G-force and geo-fencing
and is then used to create a driver profiles.
4- COST AND FINANCIAL TRACKING
1. A Financial Analytics system can help the BOD
understand the full picture of their company’s
costs and revenue statements beyond just the
accounting information.
2. These systems can connect to any number of
cloud or on premise database, combine tables
from different sources and deliver solutions to any
ad-hoc question.
TOOLS USED AND EXAMPLES
ADOBE ANAYLTICS SOLUTION
• Have you ever wondered how Audi’s online configurator
works? The interactive program that enables customers to
design their own cars? The seamless online customer
experiences, efficient functioning of their websites consistently
in 93 websites and in 40 different languages is thanks to the
Adobe Analytics Solutions. It enabled local web teams and the
dealers to work smoothly and hassle free.
• Adobe Experience Manager, and Adobe Marketing Cloud, they
were able to provide a seamlessly consistent brand experience
on all their websites worldwide.
ACCENTURE INTERACTIVE
• Czech Automaker - ŠKODA AUTO needed to coordinate all
aspects of their business—organizational, processes, technology
and more—to accelerate innovation. To help navigate these
changes and deliver new services, ŠKODA AUTO is collaborating
with Accenture and Fjord, Accenture Interactive’s design
agency, from initial ideas to market implementation.
• ŠKODA AUTO recognized this changing landscape as an
opportunity to become a different kind of company—one that
offers consumers the kind of mobility experiences they want.
IBM® RATIONAL® SOFTWARE
• British Automobile maker Jaguar Land Rover plc was to
quickly and cost-effectively deliver features that meet unique
market demands. The organization needed to maintain a greater
range of features options and combinations from which the
customers could choose. They used the IBM RATIONAL
SOFTWARE to create new requirements managements and an
efficient modeling system.
CONCLUSION
Whether it is enhancing the safety of the vehicle or the
pedestrians with a cognitive LoT or a revolutionary
change in the transportation and locomotive services,
decreasing of the spare parts and increasing the
uptime with the tools, Semi-autonomous cars or
autonomous cars, geo-fencing, remote starting and a
lot more. The technologies of the digital economy are
making a huge dent in the progress of the automotive
domain. And this represents a slew of new
opportunities for professionals in this field to upskill
and capitalize on this growing trend.

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Business analytics in the automobile sector

  • 1. UNDERSTANDING HOW BUSINESS ANALYTICS ARE USED IN THE AUTOMOTIVE INDUSTRY AN ANALYSIS BY – T.V. TEJUS NARAYAN 2037020
  • 2. • Let us sit back and imagine about the perfect automobile; Tesla Automobiles. What makes it special? It has a self driving feature, changes lanes when it detects a traffic congestion ahead or prevention of mishaps. Or servicing the car over-the-air. Doesn’t it feel like the future? • But what if I tell you that the future is now? Tesla is just one of the examples here. Almost all the Automobile companies have started transitioning to this. And this is thanks to the usage of Big Data Analytics.
  • 3. Understanding Business Analytics • Fundamentally, Business Analytics is a methodical explanation of the industry’s data sheets, with an emphasis on analysis using statistics. The tools of Business Analytics are used by organizations that use data-driven decision making analysis. In my case I would be shifting my focus on the Automobile sector and the implications of these tools. • The data-driven companies look at their data as an asset and look at making it their advantage. The key ingredients of a successful business analytics are – data quality and importantly skilled analysts who understand the technology and the business to using the data to gain insights that inform business decisions.
  • 4. Having understood the concept of Business Analytics let us see how and where these tools are used by manufacturers in the Automobile sector
  • 5. 1- PREDICTIVE AND ADVANCED ANALYTICS • The usage of predictive Analytics, the quality management teams can process large set information to highlight the underlying cause. Early detection of any issues is possible thereby eliminating any future occurrences. • With the use of Big Data Analytics a more friendly, transparent and a user experience with peace of mind is guaranteed.
  • 6. 2- DATA ANALYTICS The advancements in the SCM Analytics models transform the decision making from being a reactive to proactive 1. Supply Chain Optimization – A comprehensive system supply chain analytics can reveal any potential flaws throughout the automobile supply chain ecosystem 2. Supplier Management – Adopting new techniques to an over-expanding data set, analytics helps the automobile manufacturers improve their visibility outside of their domain 3. Visibility Tracking – The Automotive players can leverage analytics for better tracking of resolved and unresolved issues and performances.
  • 7. 3- DATA FROM SENSORS 1. Most of the leading automobile players rely on Predictive Analytics and collaborate with the government to predict and identify high traffic congestion areas based on data collected from automobiles for building of smart cities. 2. The data generated by sensor driven cars (which in India is known as Connected Car tech ) brings into limelight the driving behavior, speed, brake boost, acceleration times, G-force and geo-fencing and is then used to create a driver profiles.
  • 8. 4- COST AND FINANCIAL TRACKING 1. A Financial Analytics system can help the BOD understand the full picture of their company’s costs and revenue statements beyond just the accounting information. 2. These systems can connect to any number of cloud or on premise database, combine tables from different sources and deliver solutions to any ad-hoc question.
  • 9. TOOLS USED AND EXAMPLES ADOBE ANAYLTICS SOLUTION • Have you ever wondered how Audi’s online configurator works? The interactive program that enables customers to design their own cars? The seamless online customer experiences, efficient functioning of their websites consistently in 93 websites and in 40 different languages is thanks to the Adobe Analytics Solutions. It enabled local web teams and the dealers to work smoothly and hassle free. • Adobe Experience Manager, and Adobe Marketing Cloud, they were able to provide a seamlessly consistent brand experience on all their websites worldwide.
  • 10. ACCENTURE INTERACTIVE • Czech Automaker - ŠKODA AUTO needed to coordinate all aspects of their business—organizational, processes, technology and more—to accelerate innovation. To help navigate these changes and deliver new services, ŠKODA AUTO is collaborating with Accenture and Fjord, Accenture Interactive’s design agency, from initial ideas to market implementation. • ŠKODA AUTO recognized this changing landscape as an opportunity to become a different kind of company—one that offers consumers the kind of mobility experiences they want.
  • 11. IBM® RATIONAL® SOFTWARE • British Automobile maker Jaguar Land Rover plc was to quickly and cost-effectively deliver features that meet unique market demands. The organization needed to maintain a greater range of features options and combinations from which the customers could choose. They used the IBM RATIONAL SOFTWARE to create new requirements managements and an efficient modeling system.
  • 12. CONCLUSION Whether it is enhancing the safety of the vehicle or the pedestrians with a cognitive LoT or a revolutionary change in the transportation and locomotive services, decreasing of the spare parts and increasing the uptime with the tools, Semi-autonomous cars or autonomous cars, geo-fencing, remote starting and a lot more. The technologies of the digital economy are making a huge dent in the progress of the automotive domain. And this represents a slew of new opportunities for professionals in this field to upskill and capitalize on this growing trend.