SlideShare une entreprise Scribd logo
1  sur  19
Business Intelligence
The Power of Data in the Automotive Industry
Eslam Hussein
“Data is Becoming The
New Raw Material of
Business.”
Craig Mundie, Head of Research & Strategy, Microsoft.
What’s New
about Data
Today ?
As of 2012, about 2.5
Exabyte's of data are
created each day, that
number is doubling
every 40 month.
Volume of Data
0
10
20
30
40
50
60
2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020
Data in Zettabytes (ZB)
Data in Zettabytes (ZB)
CDK Global - Customer Event - Business Intelligence
Source “ATKearney”
Velocity
• Speed of data creation
• Real-time or nearly Real-
time
Variety
• Messages, updates, and
images to social media
• Reading from sensors
• GPS signals from cell
phones
CDK Global - Customer Event - Business Intelligence
Velocity and Variety of Data
CDK Global - Customer Event - Business Intelligence
The Future of The Auto Industry
According to a Study done by McKinsey & Company the future
road map of the auto industry:
• The China Factor
• Regulation from ‘Well to Wheels’
• Digital disruption (Connected Car)
• Rethinking Ownership
• Autonomous Vehicles and the soul of the car
Consumer are willing to share personal data with
some Applications
“Are you aware that certain data is
openly accessible to applications and
share with third parties ?”
“Do you consciously decide to grant
certain applications access to your
personal data, even if you may have
generally disabled this access for other
applications?”
CDK Global - Customer Event - Business Intelligence
Yes
88%
No
12%
Yes
77%
No
23%
Source “McKinsey & Company”
CDK Global - Customer Event - Business Intelligence
38
46
49
50
58
62
82
Games
Media streaming
E-mail, other work-related applications
Fitness and health
Social media
Messenger services
Navigation and mobility
Consumers are most willing to grant access to
Application that are directly related to driving
If you were to receive an application for free instead of paying for it, would
you agree that the application could use your personal data in return? If so,
which application would you grant access ?
Source “McKinsey & Company”
CDK Global - Customer Event - Business Intelligence
24% 21% 55%
No Yes/but Yes
Customer’s willing to allow their Vehicles to send data
to their Manufacturer under conditions
“Would you allow your car to track your location and report it anonymously
(e.g., to enable your carmaker to improve the next generation of your car)?”
Source “McKinsey & Company”
How Data-Driven
Companies
Preform ?
Business cases
of Data being
Used
“6% more profitable and 5%
more productive” “MIT Center for Digital
Business”
CDK Global - Customer Event - Business Intelligence
6%
increase
5%
increase
PROFIT PRODUCTIVITY
DATA DRIVEN COMP
VS COMPETITOR’S
Non- Data driven
Data Driven
Data-Driven Companies Vs Competitors
Automotive
Examples on
the use of Data
CDK Global - Customer Event - Business Intelligence
Leveraging Analytics to Maximize Customer Retention
• Retaining an existing customer is less cheaper than acquiring a
new one
• Customer’s can leak at any time on the customer journey
• Identifying possible causes of leakage and design strategic
customer retention approach
CDK Global - Customer Event - Business Intelligence
SALES CYCLE
Presentation & close
PURCHASE
Financing Trade-inPresentation & close Vehicle selection
Enquiry ManagementDemand generation
AFTERSALES CYCLE
AWARENESS
Enquiry ManagementDemand generation
Service, Maintenance & Repair Check-in Preparation
OWNERSHIP EXPERIENCE
GROUP-WIDE FINANCE SYSTEM
ITINFRASTRUCTURE
DEALERBRIDGE INTEGRATED DATABASE
REPORTING&BUSINESSINTELLIGENCE
CDK Global - Customer Event - Business Intelligence
Analysis Insight
Not Aware
• Aware About Services/ Products
Not
Engaged
• Engaged with Service Products
Not
Satisfied
• Satisfied With Service
products
Not
Retained
• Retained Vehicles
Servicing
Not
Retained
• Retained (Vehicle
Repurchase)
Not
Retained
• Retained (Trade-In)
Customer Information
Management
Value Chain
Engagement
Customer Satisfaction
Retention Situation
& Probability
Vehicle Purchase Customer
Identify Current Situation of overall customer Leakage
Identify Specific
Area of Leakage
Identify
Actionable
Insights
Direction
Setting
Analytics
Strategy
Planning
Analytics
AFTERSALESCYCLE
AWARENESS
EnquiryManagementDemandgeneration
Service,Maintenance&RepairCheck-inPreparation
OWNERSHIPEXPERIENCE
Source “Deloitte”
CDK Global - Customer Event - Business Intelligence
Information into Insight
Direction
Setting
Analytics
Leakage
CausationPredictive
Strategy
Planning
Analytics
Price
Elasticity
GeoSimulation
Source “Deloitte”
Getting Started with Data
Discuss
• Findings
• Challenges
Design & Implement
• Experiment
• Measure
• Share
Metrics & Measures
• Data
• Consistent
Challenge & Identify
• Key function
• Opportunities
Business area
 Management focus
 Data Available
“Data’s Power does not
Erase the need for
Vision or Human
Insight.”
Andrew MacAfee, Big Data the Management Revolution,
Harvard Business Review.
CDK’s Business Intelligence
Tomorrow’s Analytics Today

Contenu connexe

Tendances

Supply Chain Management System
Supply Chain Management SystemSupply Chain Management System
Supply Chain Management System
guest631b66
 

Tendances (20)

Delivering Real-Time Business Value for Mining
Delivering Real-Time Business Value for MiningDelivering Real-Time Business Value for Mining
Delivering Real-Time Business Value for Mining
 
Management Information Systems in the Banking Sector
Management Information Systems in the Banking SectorManagement Information Systems in the Banking Sector
Management Information Systems in the Banking Sector
 
Automotive Supply Chain Management-A2Z by Rahul Guhathakurta
Automotive Supply Chain Management-A2Z by Rahul GuhathakurtaAutomotive Supply Chain Management-A2Z by Rahul Guhathakurta
Automotive Supply Chain Management-A2Z by Rahul Guhathakurta
 
Data lake
Data lakeData lake
Data lake
 
maruti suzuki MIS
maruti suzuki MISmaruti suzuki MIS
maruti suzuki MIS
 
Unilever
UnileverUnilever
Unilever
 
What is ERP
What is ERPWhat is ERP
What is ERP
 
Overview on Azure Machine Learning
Overview on Azure Machine LearningOverview on Azure Machine Learning
Overview on Azure Machine Learning
 
Supply chain analytics
Supply chain analyticsSupply chain analytics
Supply chain analytics
 
The Evolution of AutoML
The Evolution of AutoMLThe Evolution of AutoML
The Evolution of AutoML
 
Erp selection criteria
Erp  selection criteria Erp  selection criteria
Erp selection criteria
 
Top technology trends in supply chain & logistics industry
Top technology trends in supply chain & logistics industryTop technology trends in supply chain & logistics industry
Top technology trends in supply chain & logistics industry
 
Supply Chain Management System
Supply Chain Management SystemSupply Chain Management System
Supply Chain Management System
 
Business intelligence
Business intelligenceBusiness intelligence
Business intelligence
 
MES systems
MES systemsMES systems
MES systems
 
Data warehousing
Data warehousingData warehousing
Data warehousing
 
Predictive Analytics - An Overview
Predictive Analytics - An OverviewPredictive Analytics - An Overview
Predictive Analytics - An Overview
 
Business Intelligence - Intro
Business Intelligence - IntroBusiness Intelligence - Intro
Business Intelligence - Intro
 
Supply Chain Management in the Motor Vehicle Industry, the Example of Mini.
Supply Chain Management in the Motor Vehicle Industry, the Example of Mini.Supply Chain Management in the Motor Vehicle Industry, the Example of Mini.
Supply Chain Management in the Motor Vehicle Industry, the Example of Mini.
 
Introduction To Msbi By Yasir
Introduction To Msbi By YasirIntroduction To Msbi By Yasir
Introduction To Msbi By Yasir
 

En vedette

Business Analytics Specialization Certificate
Business Analytics Specialization CertificateBusiness Analytics Specialization Certificate
Business Analytics Specialization Certificate
Eslam Ahmed Hussein
 
BI for Automotive
BI for AutomotiveBI for Automotive
BI for Automotive
Dhiren Gala
 
Bridging theory with practice
Bridging theory with practiceBridging theory with practice
Bridging theory with practice
SIKM
 
DotNetNuke on Azure Cloud Servers
DotNetNuke on Azure Cloud ServersDotNetNuke on Azure Cloud Servers
DotNetNuke on Azure Cloud Servers
brchapman
 
DotNetNuke Urls - Best practice for administrators, editors and developers
DotNetNuke Urls - Best practice for administrators, editors and developersDotNetNuke Urls - Best practice for administrators, editors and developers
DotNetNuke Urls - Best practice for administrators, editors and developers
brchapman
 
Building a mobile application for dot netnuke v3
Building a mobile application for dot netnuke v3Building a mobile application for dot netnuke v3
Building a mobile application for dot netnuke v3
brchapman
 
00. Business-Analytics-Capstone-Template
00. Business-Analytics-Capstone-Template 00. Business-Analytics-Capstone-Template
00. Business-Analytics-Capstone-Template
Apostolos Tsilikis
 
Business Analytics Capstone - Yahoo’s Framework for Strategy
Business Analytics Capstone - Yahoo’s Framework for StrategyBusiness Analytics Capstone - Yahoo’s Framework for Strategy
Business Analytics Capstone - Yahoo’s Framework for Strategy
Jason Lim
 
Business Intelligence in E-Commerce
Business Intelligence in E-CommerceBusiness Intelligence in E-Commerce
Business Intelligence in E-Commerce
Cygnet Infotech
 
Payroll outsourcing services
Payroll outsourcing servicesPayroll outsourcing services
Payroll outsourcing services
Supriya Singh
 

En vedette (20)

Business Analytics Specialization Certificate
Business Analytics Specialization CertificateBusiness Analytics Specialization Certificate
Business Analytics Specialization Certificate
 
BI for Automotive
BI for AutomotiveBI for Automotive
BI for Automotive
 
Bridging theory with practice
Bridging theory with practiceBridging theory with practice
Bridging theory with practice
 
CMS DotNetNuke : avantages pour les professionnels du web
CMS DotNetNuke : avantages pour les professionnels du webCMS DotNetNuke : avantages pour les professionnels du web
CMS DotNetNuke : avantages pour les professionnels du web
 
World Bank/GFDRR contributions to exposure modeling for global risk modeling ...
World Bank/GFDRR contributions to exposure modeling for global risk modeling ...World Bank/GFDRR contributions to exposure modeling for global risk modeling ...
World Bank/GFDRR contributions to exposure modeling for global risk modeling ...
 
Business Analytics Capstone
Business Analytics CapstoneBusiness Analytics Capstone
Business Analytics Capstone
 
DotNetNuke on Azure Cloud Servers
DotNetNuke on Azure Cloud ServersDotNetNuke on Azure Cloud Servers
DotNetNuke on Azure Cloud Servers
 
Building DotNetNuke Modules
Building DotNetNuke ModulesBuilding DotNetNuke Modules
Building DotNetNuke Modules
 
DotNetNuke Urls - Best practice for administrators, editors and developers
DotNetNuke Urls - Best practice for administrators, editors and developersDotNetNuke Urls - Best practice for administrators, editors and developers
DotNetNuke Urls - Best practice for administrators, editors and developers
 
Building a mobile application for dot netnuke v3
Building a mobile application for dot netnuke v3Building a mobile application for dot netnuke v3
Building a mobile application for dot netnuke v3
 
00. Business-Analytics-Capstone-Template
00. Business-Analytics-Capstone-Template 00. Business-Analytics-Capstone-Template
00. Business-Analytics-Capstone-Template
 
Business Analytics Capstone - Yahoo’s Framework for Strategy
Business Analytics Capstone - Yahoo’s Framework for StrategyBusiness Analytics Capstone - Yahoo’s Framework for Strategy
Business Analytics Capstone - Yahoo’s Framework for Strategy
 
Business Intelligence in E-Commerce
Business Intelligence in E-CommerceBusiness Intelligence in E-Commerce
Business Intelligence in E-Commerce
 
DotNetNuke CMS: benefits for web professionals
DotNetNuke CMS: benefits for web professionalsDotNetNuke CMS: benefits for web professionals
DotNetNuke CMS: benefits for web professionals
 
DNN Connect 2014 - Enterprise Ecommerce and DotNetNuke
DNN Connect 2014 - Enterprise Ecommerce and DotNetNukeDNN Connect 2014 - Enterprise Ecommerce and DotNetNuke
DNN Connect 2014 - Enterprise Ecommerce and DotNetNuke
 
ADP Dealer Services Automotive Digital Advertising Managed Service Solutions
ADP Dealer Services Automotive Digital Advertising Managed Service SolutionsADP Dealer Services Automotive Digital Advertising Managed Service Solutions
ADP Dealer Services Automotive Digital Advertising Managed Service Solutions
 
DotNetNuke: Be Like Bamboo
DotNetNuke: Be Like BambooDotNetNuke: Be Like Bamboo
DotNetNuke: Be Like Bamboo
 
Dot Net Nuke Presentation
Dot Net Nuke PresentationDot Net Nuke Presentation
Dot Net Nuke Presentation
 
Payroll outsourcing services
Payroll outsourcing servicesPayroll outsourcing services
Payroll outsourcing services
 
Business Intelligence for Stock Brokers
Business Intelligence for Stock BrokersBusiness Intelligence for Stock Brokers
Business Intelligence for Stock Brokers
 

Similaire à The Power of Data in the Automotive Industry (CDK User Event)

Data and Analytics In The Digital Age
Data and Analytics In The Digital AgeData and Analytics In The Digital Age
Data and Analytics In The Digital Age
Nigel Wright Group
 
Smarter analytics101 v2.0.1
Smarter analytics101 v2.0.1Smarter analytics101 v2.0.1
Smarter analytics101 v2.0.1
Jenawahl
 
Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025
Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025
Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025
Yoshifumi Sakamoto
 

Similaire à The Power of Data in the Automotive Industry (CDK User Event) (20)

Big data: status atual e tendências
Big data: status atual e tendênciasBig data: status atual e tendências
Big data: status atual e tendências
 
Big Data, customer analytics and loyalty marketing
Big Data, customer analytics and loyalty marketingBig Data, customer analytics and loyalty marketing
Big Data, customer analytics and loyalty marketing
 
Data and Analytics In The Digital Age
Data and Analytics In The Digital AgeData and Analytics In The Digital Age
Data and Analytics In The Digital Age
 
Pervasive analytics through data & analytic centricity
Pervasive analytics through data & analytic centricityPervasive analytics through data & analytic centricity
Pervasive analytics through data & analytic centricity
 
EY + Neo4j: Why graph technology makes sense for fraud detection and customer...
EY + Neo4j: Why graph technology makes sense for fraud detection and customer...EY + Neo4j: Why graph technology makes sense for fraud detection and customer...
EY + Neo4j: Why graph technology makes sense for fraud detection and customer...
 
Three Strategies to Maximize Your Insurance Distribution Channel
Three Strategies to Maximize Your Insurance Distribution ChannelThree Strategies to Maximize Your Insurance Distribution Channel
Three Strategies to Maximize Your Insurance Distribution Channel
 
ADV Slides: Increasing Artificial Intelligence Success with Master Data Manag...
ADV Slides: Increasing Artificial Intelligence Success with Master Data Manag...ADV Slides: Increasing Artificial Intelligence Success with Master Data Manag...
ADV Slides: Increasing Artificial Intelligence Success with Master Data Manag...
 
CWIN17 san francisco-eunice cardenas-datastax - real-time cx for today's righ...
CWIN17 san francisco-eunice cardenas-datastax - real-time cx for today's righ...CWIN17 san francisco-eunice cardenas-datastax - real-time cx for today's righ...
CWIN17 san francisco-eunice cardenas-datastax - real-time cx for today's righ...
 
Real Time Customer Experience for today's Right-Now Economy
Real Time Customer Experience for today's Right-Now EconomyReal Time Customer Experience for today's Right-Now Economy
Real Time Customer Experience for today's Right-Now Economy
 
Solving Big Data Industry Use Cases with AWS Cloud Computing
Solving Big Data Industry Use Cases with AWS Cloud ComputingSolving Big Data Industry Use Cases with AWS Cloud Computing
Solving Big Data Industry Use Cases with AWS Cloud Computing
 
Connected Solutions for the Future
Connected Solutions for the FutureConnected Solutions for the Future
Connected Solutions for the Future
 
Technology & Digital thinking form CIO forum submit 2019
Technology & Digital thinking form CIO forum submit 2019Technology & Digital thinking form CIO forum submit 2019
Technology & Digital thinking form CIO forum submit 2019
 
Turning Big Data into Better Business Outcomes
Turning Big Data into Better Business OutcomesTurning Big Data into Better Business Outcomes
Turning Big Data into Better Business Outcomes
 
ADV Slides: The Data Needed to Evolve an Enterprise Artificial Intelligence S...
ADV Slides: The Data Needed to Evolve an Enterprise Artificial Intelligence S...ADV Slides: The Data Needed to Evolve an Enterprise Artificial Intelligence S...
ADV Slides: The Data Needed to Evolve an Enterprise Artificial Intelligence S...
 
Smarter analytics101 v2.0.1
Smarter analytics101 v2.0.1Smarter analytics101 v2.0.1
Smarter analytics101 v2.0.1
 
Event-driven Business: How Leading Companies Are Adopting Streaming Strategies
Event-driven Business: How Leading Companies Are Adopting Streaming StrategiesEvent-driven Business: How Leading Companies Are Adopting Streaming Strategies
Event-driven Business: How Leading Companies Are Adopting Streaming Strategies
 
Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025
Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025
Study of Next Generation In-Vehicle Infotainment System Based on Automotive 2025
 
Digital transformation
Digital transformationDigital transformation
Digital transformation
 
How to transform your business with Appcelerator (Stijn Wijndaele)
How to transform your business with Appcelerator (Stijn Wijndaele)How to transform your business with Appcelerator (Stijn Wijndaele)
How to transform your business with Appcelerator (Stijn Wijndaele)
 
Customer Journey Analytics and Big Data
Customer Journey Analytics and Big DataCustomer Journey Analytics and Big Data
Customer Journey Analytics and Big Data
 

The Power of Data in the Automotive Industry (CDK User Event)

  • 1. Business Intelligence The Power of Data in the Automotive Industry Eslam Hussein
  • 2. “Data is Becoming The New Raw Material of Business.” Craig Mundie, Head of Research & Strategy, Microsoft.
  • 4. As of 2012, about 2.5 Exabyte's of data are created each day, that number is doubling every 40 month. Volume of Data 0 10 20 30 40 50 60 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 Data in Zettabytes (ZB) Data in Zettabytes (ZB) CDK Global - Customer Event - Business Intelligence Source “ATKearney”
  • 5. Velocity • Speed of data creation • Real-time or nearly Real- time Variety • Messages, updates, and images to social media • Reading from sensors • GPS signals from cell phones CDK Global - Customer Event - Business Intelligence Velocity and Variety of Data
  • 6. CDK Global - Customer Event - Business Intelligence The Future of The Auto Industry According to a Study done by McKinsey & Company the future road map of the auto industry: • The China Factor • Regulation from ‘Well to Wheels’ • Digital disruption (Connected Car) • Rethinking Ownership • Autonomous Vehicles and the soul of the car
  • 7. Consumer are willing to share personal data with some Applications “Are you aware that certain data is openly accessible to applications and share with third parties ?” “Do you consciously decide to grant certain applications access to your personal data, even if you may have generally disabled this access for other applications?” CDK Global - Customer Event - Business Intelligence Yes 88% No 12% Yes 77% No 23% Source “McKinsey & Company”
  • 8. CDK Global - Customer Event - Business Intelligence 38 46 49 50 58 62 82 Games Media streaming E-mail, other work-related applications Fitness and health Social media Messenger services Navigation and mobility Consumers are most willing to grant access to Application that are directly related to driving If you were to receive an application for free instead of paying for it, would you agree that the application could use your personal data in return? If so, which application would you grant access ? Source “McKinsey & Company”
  • 9. CDK Global - Customer Event - Business Intelligence 24% 21% 55% No Yes/but Yes Customer’s willing to allow their Vehicles to send data to their Manufacturer under conditions “Would you allow your car to track your location and report it anonymously (e.g., to enable your carmaker to improve the next generation of your car)?” Source “McKinsey & Company”
  • 11. “6% more profitable and 5% more productive” “MIT Center for Digital Business” CDK Global - Customer Event - Business Intelligence 6% increase 5% increase PROFIT PRODUCTIVITY DATA DRIVEN COMP VS COMPETITOR’S Non- Data driven Data Driven Data-Driven Companies Vs Competitors
  • 13. CDK Global - Customer Event - Business Intelligence Leveraging Analytics to Maximize Customer Retention • Retaining an existing customer is less cheaper than acquiring a new one • Customer’s can leak at any time on the customer journey • Identifying possible causes of leakage and design strategic customer retention approach
  • 14. CDK Global - Customer Event - Business Intelligence SALES CYCLE Presentation & close PURCHASE Financing Trade-inPresentation & close Vehicle selection Enquiry ManagementDemand generation AFTERSALES CYCLE AWARENESS Enquiry ManagementDemand generation Service, Maintenance & Repair Check-in Preparation OWNERSHIP EXPERIENCE GROUP-WIDE FINANCE SYSTEM ITINFRASTRUCTURE DEALERBRIDGE INTEGRATED DATABASE REPORTING&BUSINESSINTELLIGENCE
  • 15. CDK Global - Customer Event - Business Intelligence Analysis Insight Not Aware • Aware About Services/ Products Not Engaged • Engaged with Service Products Not Satisfied • Satisfied With Service products Not Retained • Retained Vehicles Servicing Not Retained • Retained (Vehicle Repurchase) Not Retained • Retained (Trade-In) Customer Information Management Value Chain Engagement Customer Satisfaction Retention Situation & Probability Vehicle Purchase Customer Identify Current Situation of overall customer Leakage Identify Specific Area of Leakage Identify Actionable Insights Direction Setting Analytics Strategy Planning Analytics AFTERSALESCYCLE AWARENESS EnquiryManagementDemandgeneration Service,Maintenance&RepairCheck-inPreparation OWNERSHIPEXPERIENCE Source “Deloitte”
  • 16. CDK Global - Customer Event - Business Intelligence Information into Insight Direction Setting Analytics Leakage CausationPredictive Strategy Planning Analytics Price Elasticity GeoSimulation Source “Deloitte”
  • 17. Getting Started with Data Discuss • Findings • Challenges Design & Implement • Experiment • Measure • Share Metrics & Measures • Data • Consistent Challenge & Identify • Key function • Opportunities Business area  Management focus  Data Available
  • 18. “Data’s Power does not Erase the need for Vision or Human Insight.” Andrew MacAfee, Big Data the Management Revolution, Harvard Business Review.

Notes de l'éditeur

  1. Let’s start with the sales cycle… As you can see the green section outlines the experience a customer takes in your dealership. From their awareness that they want a new vehicle, through to their evaluation of potential makes and models, to purchase and if you do the job right, the advocacy stage. The blue ring shows the steps the sales team in your dealership should follow to win that deal. You also need to keep customers engaged after making the sale… now it’s time to move them into the Aftersales cycle Again the Green shows the customer journey with your service department and the green shows the process steps your technicians and advisors should follow. The grey ring shows the solutions which apply to your whole dealership or connect you to OEM’s and third parties.