SlideShare una empresa de Scribd logo
1 de 21
Automotive Data Integration
An example of a successful
project structure




www.etlsolutions.com
Automotive manufacturer use case
            Implementation                                   Results
•   Providing flexible data integration        •   First time ever that dealers
    for a major Automotive                         integrate with corporate
    manufacturer                               •   Projects complete in less than 7
     -   Daily or weekly integration for 200       months
         dealers
                                               •   Projects been running for 6 years
     -   16 different Dealer Management            and data extracted, one of 19
         Systems
                                                   feeds accounts for over 90% of
        (applications/databases)
                                                   marketing database updates
•   Multiple uses
     -   Customer service satisfaction
         follow-up, service reminders,
         improved CLM, parts
         replenishment
•   Multiple data formats/architectures
•   Transformation code re-used
    throughout
Project 1: Automotive Insight
Automotive UK project
 Extracts customer repairsservices data from
  DMS for a major manufacturer
   - Determine customer and owner relationship
   - Job codes and keyword search to determine
     work
   - Full invoice details
 Extracts new and used cars sales
   - Determine customer and owner relationship
   - Full invoice details
 Comprehensive marketing database of
  customer and prospect information
   - This data feed provides 90% of updates to the
     manufacturer’s database
   - Used for CSI calls
   - Seen as providing valuable data for future
     marketing activities
Architecture principles

• Allows many transforms (e.g.
  servicerepairs, new cars, used cars, parts,
  bookings) to be scheduled and run
  independently
    - Failures of one extract from a dealer doesn’t
      necessarily affect others
• Allows generic transforms with parameters
  in database
• Provides logging of results
    - For all types of DMS
    - Better reporting and analysis of results
• Hosted off-site failover system
Data flows
Project 2: Parts Replenishment
Automotive parts replenishment (APS)


• Provide DMS integration for a major
  manufacturer’s parts replenishment project
   - Transfer data daily to the manufacturer’s
     auto parts replenishment (APS) system
   - 144 dealerships, 10 different Dealer
     Management Systems
• UK rollout planned to remaining dealers
Automotive parts replenishment project


                                                                  HUK System

                      Email




                                                                       TM Transform
                     Confirms                                                                                         Periodic
                      Orders                                                                                       Required Order
                                                                                                                     Quantities
                                                        Dealer                                                         ROQ
                                                       Schedule


                       Files
                                    F                                                                                               F
                                                                      Parts
                       DMS          T                                Staging                                                        T
                                              TM Transform                                 TM Transform
                      Specific      P                               Database                                                        P
     DMS
    Systems         Stock List               Periodic                                                      Process Parts Activity       Automated
                    Sales History       (Daily or Weekly)                                                 Process Parts Inventory        Planning
   ADP Autoline                                                                       Weekly following
Kalamazoo KDMS                          data from dealers                                                                                System
                                                                                       receipt of data
Kalamazoo Power                                                                         from dealers                                      (APS)
 Kalamazoo Elite                                                                                                                        HE System
Kalamazoo GDMS                                                  Summary Report                                                                         Generates
  MMI Automate                                                  File Not Delivered                                                                       Periodic
Pinewood Pinnacle
 Pinewood CARS                                                                                                                                      (daily or weekly)
    Autoview                                                                                                                                           Forecasts
 Gemini Evolution
      KBA                                                    Email Distribution List
      Peak
Data structure
Introducing DataHub
Automatic data collection to a central data
warehouse using a variety of internet protocols.
Easily configured to accept new dealers and
DMS changes

Fully Robust, Scalable, Secure
Automotive DMS data extraction
                                  1




                                                                   Manufacturer
                              DMS
                             extract
           DMS at
                             reports                                               4
         dealerships                                    Manufacturer


                                                                  Business
                              Other
DSP                                    ETL server                intelligence
                              server
                             sources                3




                Provided
               reports and
                 extracts


                                             Aggregated data passed on in single
      Hosted DMS at DSPs          2
                                                      standard format
DataHub features
• Complete automated processing of data
• Hosting service for data being transferred
    - Maintains details of dealers’ DMS configuration
• Allows many channels scheduled to run
  independently, e.g.
    -   RepairsServices
    -   NewUsed Cars
    -   CustomerVehicles
    -   Parts stock and demands
    -   Bookings
• Failures of one dealer channel doesn’t affect
  others
• Encryption of all data transferred
• Consolidated data sent to manufacturer or third
  party
Simple install and monitoring

• Remote install of extract software at
  dealerships
    - Automatically updates extract software
      whenever required
• Automatic monitoring of extracts and
  notification if transfers fail
    - Recover data for periods when systems are
      not available
• Automatic operational reports generated
  and sent to distribution
• Displays operational performance
Dual redundant failover

• Live server performs daily tasks
• Back-up server, continuously updated is
  ready to take-over if the live system fails
• Operational report server where reports are
  run
• Live , back-up, and operational servers can
  be hosted off-site independent of
  development and test systems at Menai
  House
Failover
ETL Solutions: About us
• Established April 2002
    -   MBO of product and team
    -   Originally started in 1996
    -   HQ in Bangor
    -   24 people
• Delivering integration solutions
    - Expert technical team
                                             ETL Solutions Bangor office
    - Highest quality technical support
• Reducing the risk and cost of delivering
  business critical solutions for global
  enterprises
• Providing Automotive DMS Integration
  for Honda, MSXI and Rolling Star
Examples of our Automotive experience


•      Implemented Honda UK DMS                   •   European Integration Partner
       solutions:                                     for MSXI
                                                       -   Extensive DMS extracts being
        -   After Sales and used cars CSI
                                                           developed for UK and Europe
        -   Auto parts replenishment
            project                               •   Developed automotive
                                                      framework for easily
•      Integrating with 12 different
                                                      deployment of integration
       DMS systems
                                                      extracts
                                                  •   Developed good relationships
      "Honda has been seeking to achieve
                                                      with range of DSPs
    Dealer Network Integration for the last ten   •   Implemented DMS data
    years. With the help of ETL Solutions, this       migrations
     has finally been achieved. Considering
     the success, Honda is now planning to
      extend this approach to the European
                     dealers."
              Michael Doyle, Honda
We are DMS data integration specialists

• Considerable experience of Dealer
  Management System (DMS) data
  integration using:
   - Data integration tool: Transformation
     Manager
   - DataHub software
• Easily deployed web download extracts
• Automatic collection of data
• Minimal dealer involvement
Why ETL Solutions?
                                                           "Honda has been seeking to
                                                             achieve Dealer Network
• 10-year track record in data                          Integration for the last ten years.
  management, working with global blue                   With the help of ETL Solutions,
  chip clients                                           this has finally been achieved.
                                                        Considering the success, Honda
• Unparalleled knowledge from our team of                 is now planning to extend this
                                                            approach to the European
  data integration experts, many of whom                             dealers."
  have been with us since inception                           Michael Doyle, Honda

• Our Transformation Manager and
  DataHub software has been proven in
  even the most complex data movements                       “After recommending ETL
                                                              Solutions as a preferred
• Expert support: first line of contact is with         provider, we have been delighted
  a developer or consultant                               by the speed with which they
                                                          were able to demonstrate the
• Data integration focus – it’s all that we do             feasibility of integration and
                                                            implement the subsequent
                                                          production-level transforms."
                                                        Graham Orr, Barloworld Optimus



                                  ©2009 ETL Solutions
Please get in touch for more details on
 our data integration services:
 John Bigerstaff, Managing Director
 jab@etlsolutions.com


 Read more on our website at:
 http://www.etlsolutions.com/what-we-do/automotive/




                                                      Raising data
                                                      management
                                                       standards
www.etlsolutions.com

Más contenido relacionado

La actualidad más candente

Integrated Order Management
Integrated Order ManagementIntegrated Order Management
Integrated Order Managementdidemtopuz
 
Etl And Data Test Guidelines For Large Applications
Etl And Data Test Guidelines For Large ApplicationsEtl And Data Test Guidelines For Large Applications
Etl And Data Test Guidelines For Large ApplicationsWayne Yaddow
 
Aras PLM Software Integration Basics
Aras PLM Software Integration BasicsAras PLM Software Integration Basics
Aras PLM Software Integration BasicsAras
 
A Practical Enterprise Feature Store on Delta Lake
A Practical Enterprise Feature Store on Delta LakeA Practical Enterprise Feature Store on Delta Lake
A Practical Enterprise Feature Store on Delta LakeDatabricks
 
Building the Business Case for SAP HANA
Building the Business Case for SAP HANABuilding the Business Case for SAP HANA
Building the Business Case for SAP HANAJohn Appleby
 
Successful SAP Implementation Checklist
Successful SAP Implementation ChecklistSuccessful SAP Implementation Checklist
Successful SAP Implementation ChecklistCygnet Infotech
 
Sap s4 hana (2)
Sap s4 hana (2)Sap s4 hana (2)
Sap s4 hana (2)babloo6
 
Lessons in Data Modeling: Data Modeling & MDM
Lessons in Data Modeling: Data Modeling & MDMLessons in Data Modeling: Data Modeling & MDM
Lessons in Data Modeling: Data Modeling & MDMDATAVERSITY
 
Databricks: A Tool That Empowers You To Do More With Data
Databricks: A Tool That Empowers You To Do More With DataDatabricks: A Tool That Empowers You To Do More With Data
Databricks: A Tool That Empowers You To Do More With DataDatabricks
 
ETL Using Informatica Power Center
ETL Using Informatica Power CenterETL Using Informatica Power Center
ETL Using Informatica Power CenterEdureka!
 
Moving to Databricks & Delta
Moving to Databricks & DeltaMoving to Databricks & Delta
Moving to Databricks & DeltaDatabricks
 
Intro to Advanced PLM Capabilities in Aras Innovator
Intro to Advanced PLM Capabilities in Aras InnovatorIntro to Advanced PLM Capabilities in Aras Innovator
Intro to Advanced PLM Capabilities in Aras InnovatorAras
 
Day1 Sap Basis Overview V1 1
Day1 Sap Basis Overview V1 1Day1 Sap Basis Overview V1 1
Day1 Sap Basis Overview V1 1Guang Ying Yuan
 
Master Data Management
Master Data ManagementMaster Data Management
Master Data ManagementMoniqueO Opris
 
Master Data Management methodology
Master Data Management methodologyMaster Data Management methodology
Master Data Management methodologyDatabase Architechs
 

La actualidad más candente (20)

Data Warehouse 101
Data Warehouse 101Data Warehouse 101
Data Warehouse 101
 
Integrated Order Management
Integrated Order ManagementIntegrated Order Management
Integrated Order Management
 
Etl And Data Test Guidelines For Large Applications
Etl And Data Test Guidelines For Large ApplicationsEtl And Data Test Guidelines For Large Applications
Etl And Data Test Guidelines For Large Applications
 
Aras PLM Software Integration Basics
Aras PLM Software Integration BasicsAras PLM Software Integration Basics
Aras PLM Software Integration Basics
 
A Practical Enterprise Feature Store on Delta Lake
A Practical Enterprise Feature Store on Delta LakeA Practical Enterprise Feature Store on Delta Lake
A Practical Enterprise Feature Store on Delta Lake
 
Building the Business Case for SAP HANA
Building the Business Case for SAP HANABuilding the Business Case for SAP HANA
Building the Business Case for SAP HANA
 
Successful SAP Implementation Checklist
Successful SAP Implementation ChecklistSuccessful SAP Implementation Checklist
Successful SAP Implementation Checklist
 
SAP HANA - Understanding the Basics
SAP HANA - Understanding the Basics SAP HANA - Understanding the Basics
SAP HANA - Understanding the Basics
 
Sap s4 hana (2)
Sap s4 hana (2)Sap s4 hana (2)
Sap s4 hana (2)
 
Lessons in Data Modeling: Data Modeling & MDM
Lessons in Data Modeling: Data Modeling & MDMLessons in Data Modeling: Data Modeling & MDM
Lessons in Data Modeling: Data Modeling & MDM
 
Data mesh
Data meshData mesh
Data mesh
 
sap ariba supply chain
sap ariba supply chainsap ariba supply chain
sap ariba supply chain
 
Architecting a datalake
Architecting a datalakeArchitecting a datalake
Architecting a datalake
 
Databricks: A Tool That Empowers You To Do More With Data
Databricks: A Tool That Empowers You To Do More With DataDatabricks: A Tool That Empowers You To Do More With Data
Databricks: A Tool That Empowers You To Do More With Data
 
ETL Using Informatica Power Center
ETL Using Informatica Power CenterETL Using Informatica Power Center
ETL Using Informatica Power Center
 
Moving to Databricks & Delta
Moving to Databricks & DeltaMoving to Databricks & Delta
Moving to Databricks & Delta
 
Intro to Advanced PLM Capabilities in Aras Innovator
Intro to Advanced PLM Capabilities in Aras InnovatorIntro to Advanced PLM Capabilities in Aras Innovator
Intro to Advanced PLM Capabilities in Aras Innovator
 
Day1 Sap Basis Overview V1 1
Day1 Sap Basis Overview V1 1Day1 Sap Basis Overview V1 1
Day1 Sap Basis Overview V1 1
 
Master Data Management
Master Data ManagementMaster Data Management
Master Data Management
 
Master Data Management methodology
Master Data Management methodologyMaster Data Management methodology
Master Data Management methodology
 

Destacado

Project Management In The Automotive Industry
Project Management In The Automotive IndustryProject Management In The Automotive Industry
Project Management In The Automotive IndustryGestion Projet Auto
 
Car design, Project Management, MBA,
Car design, Project Management, MBA, Car design, Project Management, MBA,
Car design, Project Management, MBA, Shahnama Rasul
 
Vehicle dynamics final project
Vehicle dynamics final project  Vehicle dynamics final project
Vehicle dynamics final project Mohammad Molani
 
Project Management Kick-off meeting tips
Project Management Kick-off meeting tipsProject Management Kick-off meeting tips
Project Management Kick-off meeting tipsPilar Monroy
 
Nr 650.kickoff powerpoint
Nr 650.kickoff powerpointNr 650.kickoff powerpoint
Nr 650.kickoff powerpointnnorris1
 
Template kick off-meeting
Template kick off-meeting Template kick off-meeting
Template kick off-meeting Hari Krishna
 
Data Management Project for Car Dealership
Data Management Project for Car DealershipData Management Project for Car Dealership
Data Management Project for Car DealershipTeresa Rothaar
 
MS Project et le management de projet
MS Project et le management de projetMS Project et le management de projet
MS Project et le management de projetMichel Estève
 
Internship Project for Automobile sector
Internship Project for Automobile sector Internship Project for Automobile sector
Internship Project for Automobile sector Kirtan Pandya
 
Project on indian automotive industry
Project on indian automotive industryProject on indian automotive industry
Project on indian automotive industryLal Sivaraj
 
Embedded system in automobile
Embedded system in automobileEmbedded system in automobile
Embedded system in automobileAali Aalim
 
Toyota Supply chain Management
Toyota Supply chain Management Toyota Supply chain Management
Toyota Supply chain Management Siddhi Suthar
 
Embedded system in automobile
Embedded system in automobile Embedded system in automobile
Embedded system in automobile Swaraj Nayak
 
The Automotive Industry Through the lens of social
The Automotive Industry Through the lens of socialThe Automotive Industry Through the lens of social
The Automotive Industry Through the lens of socialBrandwatch
 
Supply Chain Management of TOYOTA.......case study by sabio bernard.
Supply Chain Management of TOYOTA.......case study by sabio bernard.Supply Chain Management of TOYOTA.......case study by sabio bernard.
Supply Chain Management of TOYOTA.......case study by sabio bernard.Sabio Bernard
 
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.aguesdon
 

Destacado (20)

Project Management In The Automotive Industry
Project Management In The Automotive IndustryProject Management In The Automotive Industry
Project Management In The Automotive Industry
 
Car design, Project Management, MBA,
Car design, Project Management, MBA, Car design, Project Management, MBA,
Car design, Project Management, MBA,
 
Forecasting @ Wockhardt
Forecasting @ WockhardtForecasting @ Wockhardt
Forecasting @ Wockhardt
 
Vehicle dynamics final project
Vehicle dynamics final project  Vehicle dynamics final project
Vehicle dynamics final project
 
Project Management Kick-off meeting tips
Project Management Kick-off meeting tipsProject Management Kick-off meeting tips
Project Management Kick-off meeting tips
 
EMBEDDED IN AUTOMOBILES
EMBEDDED IN AUTOMOBILESEMBEDDED IN AUTOMOBILES
EMBEDDED IN AUTOMOBILES
 
Nr 650.kickoff powerpoint
Nr 650.kickoff powerpointNr 650.kickoff powerpoint
Nr 650.kickoff powerpoint
 
Template kick off-meeting
Template kick off-meeting Template kick off-meeting
Template kick off-meeting
 
Data Management Project for Car Dealership
Data Management Project for Car DealershipData Management Project for Car Dealership
Data Management Project for Car Dealership
 
MS Project et le management de projet
MS Project et le management de projetMS Project et le management de projet
MS Project et le management de projet
 
Internship Project for Automobile sector
Internship Project for Automobile sector Internship Project for Automobile sector
Internship Project for Automobile sector
 
Project on indian automotive industry
Project on indian automotive industryProject on indian automotive industry
Project on indian automotive industry
 
Embedded system in automobile
Embedded system in automobileEmbedded system in automobile
Embedded system in automobile
 
Ceramic Bearing ppt
Ceramic Bearing pptCeramic Bearing ppt
Ceramic Bearing ppt
 
Toyota Supply chain Management
Toyota Supply chain Management Toyota Supply chain Management
Toyota Supply chain Management
 
Embedded system in automobile
Embedded system in automobile Embedded system in automobile
Embedded system in automobile
 
The Automotive Industry Through the lens of social
The Automotive Industry Through the lens of socialThe Automotive Industry Through the lens of social
The Automotive Industry Through the lens of social
 
Embedded Systems in Automotive
Embedded Systems in Automotive Embedded Systems in Automotive
Embedded Systems in Automotive
 
Supply Chain Management of TOYOTA.......case study by sabio bernard.
Supply Chain Management of TOYOTA.......case study by sabio bernard.Supply Chain Management of TOYOTA.......case study by sabio bernard.
Supply Chain Management of TOYOTA.......case study by sabio bernard.
 
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.
 

Similar a Automotive Data Integration Project Structure

SAP Documents Management and Distribution
SAP Documents Management and DistributionSAP Documents Management and Distribution
SAP Documents Management and DistributionSEAL Systems
 
Gordon baisley - eircom - Introducing the EDM role with www.softtest.ie
Gordon baisley - eircom - Introducing the EDM role with www.softtest.ieGordon baisley - eircom - Introducing the EDM role with www.softtest.ie
Gordon baisley - eircom - Introducing the EDM role with www.softtest.ieDavid O'Dowd
 
SAP Inside Track Ankara 2012: That is the shape of my world
SAP Inside Track Ankara 2012: That is the shape of my worldSAP Inside Track Ankara 2012: That is the shape of my world
SAP Inside Track Ankara 2012: That is the shape of my worldFIT Solutions
 
SAP Roadmap in Essar Offshore Subsea Ltd.
SAP Roadmap in Essar Offshore Subsea Ltd.SAP Roadmap in Essar Offshore Subsea Ltd.
SAP Roadmap in Essar Offshore Subsea Ltd.Pankaj K Sinha
 
Openly Replacing ERPs with Sugar | SugarCon 2011
Openly Replacing ERPs with Sugar | SugarCon 2011Openly Replacing ERPs with Sugar | SugarCon 2011
Openly Replacing ERPs with Sugar | SugarCon 2011SugarCRM
 
Bi Lunch And Learn Examples
Bi Lunch And Learn ExamplesBi Lunch And Learn Examples
Bi Lunch And Learn Exampleseokerholm
 
Toyota production-system-bussiness-case-studies-plan-19345
Toyota production-system-bussiness-case-studies-plan-19345Toyota production-system-bussiness-case-studies-plan-19345
Toyota production-system-bussiness-case-studies-plan-19345nemururati
 
Data3 S Eluzzion Crm 2010 Gc 001
Data3 S Eluzzion Crm 2010 Gc 001Data3 S Eluzzion Crm 2010 Gc 001
Data3 S Eluzzion Crm 2010 Gc 001Joshua Mensch
 
Reporter for IBM TSM data sheet 2.7
Reporter for IBM TSM data sheet 2.7Reporter for IBM TSM data sheet 2.7
Reporter for IBM TSM data sheet 2.7peterpijpelink
 
Enabling Content Workflows in the Cloud
Enabling Content Workflows in the CloudEnabling Content Workflows in the Cloud
Enabling Content Workflows in the CloudAmazon Web Services
 
Ramco - A Software for all Seasons
 Ramco - A Software for all Seasons Ramco - A Software for all Seasons
Ramco - A Software for all SeasonsRamco Systems
 
POS Processing by Computer Market Research
POS Processing by Computer Market ResearchPOS Processing by Computer Market Research
POS Processing by Computer Market ResearchRon Bostater
 
Certified Technology Program Overview
Certified Technology Program OverviewCertified Technology Program Overview
Certified Technology Program Overviewbillwoerner
 
All Roads Lead to SaaS
All Roads Lead to SaaSAll Roads Lead to SaaS
All Roads Lead to SaaSRuann Tiller
 
Business Intelligence and Analytics: A Command and Control Center for Supply ...
Business Intelligence and Analytics: A Command and Control Center for Supply ...Business Intelligence and Analytics: A Command and Control Center for Supply ...
Business Intelligence and Analytics: A Command and Control Center for Supply ...marcus evans Network
 
IT-as-a-Service: Cloud Computing and the Evolving Role of Enterprise IT
IT-as-a-Service: Cloud Computing and the Evolving Role of Enterprise ITIT-as-a-Service: Cloud Computing and the Evolving Role of Enterprise IT
IT-as-a-Service: Cloud Computing and the Evolving Role of Enterprise ITBob Rhubart
 

Similar a Automotive Data Integration Project Structure (20)

SAP Documents Management and Distribution
SAP Documents Management and DistributionSAP Documents Management and Distribution
SAP Documents Management and Distribution
 
Gordon baisley - eircom - Introducing the EDM role with www.softtest.ie
Gordon baisley - eircom - Introducing the EDM role with www.softtest.ieGordon baisley - eircom - Introducing the EDM role with www.softtest.ie
Gordon baisley - eircom - Introducing the EDM role with www.softtest.ie
 
Sap overview
Sap overviewSap overview
Sap overview
 
Sap overview
Sap overviewSap overview
Sap overview
 
SAP Inside Track Ankara 2012: That is the shape of my world
SAP Inside Track Ankara 2012: That is the shape of my worldSAP Inside Track Ankara 2012: That is the shape of my world
SAP Inside Track Ankara 2012: That is the shape of my world
 
SAP Roadmap in Essar Offshore Subsea Ltd.
SAP Roadmap in Essar Offshore Subsea Ltd.SAP Roadmap in Essar Offshore Subsea Ltd.
SAP Roadmap in Essar Offshore Subsea Ltd.
 
Mis in tata
Mis in tataMis in tata
Mis in tata
 
Openly Replacing ERPs with Sugar | SugarCon 2011
Openly Replacing ERPs with Sugar | SugarCon 2011Openly Replacing ERPs with Sugar | SugarCon 2011
Openly Replacing ERPs with Sugar | SugarCon 2011
 
Bi Lunch And Learn Examples
Bi Lunch And Learn ExamplesBi Lunch And Learn Examples
Bi Lunch And Learn Examples
 
Toyota production-system-bussiness-case-studies-plan-19345
Toyota production-system-bussiness-case-studies-plan-19345Toyota production-system-bussiness-case-studies-plan-19345
Toyota production-system-bussiness-case-studies-plan-19345
 
Data3 S Eluzzion Crm 2010 Gc 001
Data3 S Eluzzion Crm 2010 Gc 001Data3 S Eluzzion Crm 2010 Gc 001
Data3 S Eluzzion Crm 2010 Gc 001
 
Reporter for IBM TSM data sheet 2.7
Reporter for IBM TSM data sheet 2.7Reporter for IBM TSM data sheet 2.7
Reporter for IBM TSM data sheet 2.7
 
Enabling Content Workflows in the Cloud
Enabling Content Workflows in the CloudEnabling Content Workflows in the Cloud
Enabling Content Workflows in the Cloud
 
Ramco - A Software for all Seasons
 Ramco - A Software for all Seasons Ramco - A Software for all Seasons
Ramco - A Software for all Seasons
 
POS Processing by Computer Market Research
POS Processing by Computer Market ResearchPOS Processing by Computer Market Research
POS Processing by Computer Market Research
 
Computer Market Research - Channel POS
Computer Market Research - Channel POSComputer Market Research - Channel POS
Computer Market Research - Channel POS
 
Certified Technology Program Overview
Certified Technology Program OverviewCertified Technology Program Overview
Certified Technology Program Overview
 
All Roads Lead to SaaS
All Roads Lead to SaaSAll Roads Lead to SaaS
All Roads Lead to SaaS
 
Business Intelligence and Analytics: A Command and Control Center for Supply ...
Business Intelligence and Analytics: A Command and Control Center for Supply ...Business Intelligence and Analytics: A Command and Control Center for Supply ...
Business Intelligence and Analytics: A Command and Control Center for Supply ...
 
IT-as-a-Service: Cloud Computing and the Evolving Role of Enterprise IT
IT-as-a-Service: Cloud Computing and the Evolving Role of Enterprise ITIT-as-a-Service: Cloud Computing and the Evolving Role of Enterprise IT
IT-as-a-Service: Cloud Computing and the Evolving Role of Enterprise IT
 

Más de ETLSolutions

How to create a successful proof of concept
How to create a successful proof of conceptHow to create a successful proof of concept
How to create a successful proof of conceptETLSolutions
 
DMS data integration: 6 ways to get it right
DMS data integration: 6 ways to get it rightDMS data integration: 6 ways to get it right
DMS data integration: 6 ways to get it rightETLSolutions
 
WITSML to PPDM mapping project
WITSML to PPDM mapping projectWITSML to PPDM mapping project
WITSML to PPDM mapping projectETLSolutions
 
How to prepare data before a data migration
How to prepare data before a data migrationHow to prepare data before a data migration
How to prepare data before a data migrationETLSolutions
 
E&P data management: Implementing data standards
E&P data management: Implementing data standardsE&P data management: Implementing data standards
E&P data management: Implementing data standardsETLSolutions
 
An example of a successful proof of concept
An example of a successful proof of conceptAn example of a successful proof of concept
An example of a successful proof of conceptETLSolutions
 
Data integration case study: Oil & Gas industry
Data integration case study: Oil & Gas industryData integration case study: Oil & Gas industry
Data integration case study: Oil & Gas industryETLSolutions
 
Migrating data: How to reduce risk
Migrating data: How to reduce riskMigrating data: How to reduce risk
Migrating data: How to reduce riskETLSolutions
 
Preparing a data migration plan: A practical guide
Preparing a data migration plan: A practical guidePreparing a data migration plan: A practical guide
Preparing a data migration plan: A practical guideETLSolutions
 
A 5-step methodology for complex E&P data management
A 5-step methodology for complex E&P data managementA 5-step methodology for complex E&P data management
A 5-step methodology for complex E&P data managementETLSolutions
 

Más de ETLSolutions (10)

How to create a successful proof of concept
How to create a successful proof of conceptHow to create a successful proof of concept
How to create a successful proof of concept
 
DMS data integration: 6 ways to get it right
DMS data integration: 6 ways to get it rightDMS data integration: 6 ways to get it right
DMS data integration: 6 ways to get it right
 
WITSML to PPDM mapping project
WITSML to PPDM mapping projectWITSML to PPDM mapping project
WITSML to PPDM mapping project
 
How to prepare data before a data migration
How to prepare data before a data migrationHow to prepare data before a data migration
How to prepare data before a data migration
 
E&P data management: Implementing data standards
E&P data management: Implementing data standardsE&P data management: Implementing data standards
E&P data management: Implementing data standards
 
An example of a successful proof of concept
An example of a successful proof of conceptAn example of a successful proof of concept
An example of a successful proof of concept
 
Data integration case study: Oil & Gas industry
Data integration case study: Oil & Gas industryData integration case study: Oil & Gas industry
Data integration case study: Oil & Gas industry
 
Migrating data: How to reduce risk
Migrating data: How to reduce riskMigrating data: How to reduce risk
Migrating data: How to reduce risk
 
Preparing a data migration plan: A practical guide
Preparing a data migration plan: A practical guidePreparing a data migration plan: A practical guide
Preparing a data migration plan: A practical guide
 
A 5-step methodology for complex E&P data management
A 5-step methodology for complex E&P data managementA 5-step methodology for complex E&P data management
A 5-step methodology for complex E&P data management
 

Último

Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .Alan Dix
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):comworks
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clashcharlottematthew16
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostZilliz
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfAddepto
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningLars Bell
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsMark Billinghurst
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo DayH2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo DaySri Ambati
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024Stephanie Beckett
 

Último (20)

Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .From Family Reminiscence to Scholarly Archive .
From Family Reminiscence to Scholarly Archive .
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
Powerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time ClashPowerpoint exploring the locations used in television show Time Clash
Powerpoint exploring the locations used in television show Time Clash
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage CostLeverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
Leverage Zilliz Serverless - Up to 50X Saving for Your Vector Storage Cost
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
Gen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdfGen AI in Business - Global Trends Report 2024.pdf
Gen AI in Business - Global Trends Report 2024.pdf
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine Tuning
 
Human Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR SystemsHuman Factors of XR: Using Human Factors to Design XR Systems
Human Factors of XR: Using Human Factors to Design XR Systems
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo DayH2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
 
What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024What's New in Teams Calling, Meetings and Devices March 2024
What's New in Teams Calling, Meetings and Devices March 2024
 

Automotive Data Integration Project Structure

  • 1. Automotive Data Integration An example of a successful project structure www.etlsolutions.com
  • 2. Automotive manufacturer use case Implementation Results • Providing flexible data integration • First time ever that dealers for a major Automotive integrate with corporate manufacturer • Projects complete in less than 7 - Daily or weekly integration for 200 months dealers • Projects been running for 6 years - 16 different Dealer Management and data extracted, one of 19 Systems feeds accounts for over 90% of (applications/databases) marketing database updates • Multiple uses - Customer service satisfaction follow-up, service reminders, improved CLM, parts replenishment • Multiple data formats/architectures • Transformation code re-used throughout
  • 4. Automotive UK project  Extracts customer repairsservices data from DMS for a major manufacturer - Determine customer and owner relationship - Job codes and keyword search to determine work - Full invoice details  Extracts new and used cars sales - Determine customer and owner relationship - Full invoice details  Comprehensive marketing database of customer and prospect information - This data feed provides 90% of updates to the manufacturer’s database - Used for CSI calls - Seen as providing valuable data for future marketing activities
  • 5. Architecture principles • Allows many transforms (e.g. servicerepairs, new cars, used cars, parts, bookings) to be scheduled and run independently - Failures of one extract from a dealer doesn’t necessarily affect others • Allows generic transforms with parameters in database • Provides logging of results - For all types of DMS - Better reporting and analysis of results • Hosted off-site failover system
  • 7. Project 2: Parts Replenishment
  • 8. Automotive parts replenishment (APS) • Provide DMS integration for a major manufacturer’s parts replenishment project - Transfer data daily to the manufacturer’s auto parts replenishment (APS) system - 144 dealerships, 10 different Dealer Management Systems • UK rollout planned to remaining dealers
  • 9. Automotive parts replenishment project HUK System Email TM Transform Confirms Periodic Orders Required Order Quantities Dealer ROQ Schedule Files F F Parts DMS T Staging T TM Transform TM Transform Specific P Database P DMS Systems Stock List Periodic Process Parts Activity Automated Sales History (Daily or Weekly) Process Parts Inventory Planning ADP Autoline Weekly following Kalamazoo KDMS data from dealers System receipt of data Kalamazoo Power from dealers (APS) Kalamazoo Elite HE System Kalamazoo GDMS Summary Report Generates MMI Automate File Not Delivered Periodic Pinewood Pinnacle Pinewood CARS (daily or weekly) Autoview Forecasts Gemini Evolution KBA Email Distribution List Peak
  • 11. Introducing DataHub Automatic data collection to a central data warehouse using a variety of internet protocols. Easily configured to accept new dealers and DMS changes Fully Robust, Scalable, Secure
  • 12. Automotive DMS data extraction 1 Manufacturer DMS extract DMS at reports 4 dealerships Manufacturer Business Other DSP ETL server intelligence server sources 3 Provided reports and extracts Aggregated data passed on in single Hosted DMS at DSPs 2 standard format
  • 13. DataHub features • Complete automated processing of data • Hosting service for data being transferred - Maintains details of dealers’ DMS configuration • Allows many channels scheduled to run independently, e.g. - RepairsServices - NewUsed Cars - CustomerVehicles - Parts stock and demands - Bookings • Failures of one dealer channel doesn’t affect others • Encryption of all data transferred • Consolidated data sent to manufacturer or third party
  • 14. Simple install and monitoring • Remote install of extract software at dealerships - Automatically updates extract software whenever required • Automatic monitoring of extracts and notification if transfers fail - Recover data for periods when systems are not available • Automatic operational reports generated and sent to distribution • Displays operational performance
  • 15. Dual redundant failover • Live server performs daily tasks • Back-up server, continuously updated is ready to take-over if the live system fails • Operational report server where reports are run • Live , back-up, and operational servers can be hosted off-site independent of development and test systems at Menai House
  • 17. ETL Solutions: About us • Established April 2002 - MBO of product and team - Originally started in 1996 - HQ in Bangor - 24 people • Delivering integration solutions - Expert technical team ETL Solutions Bangor office - Highest quality technical support • Reducing the risk and cost of delivering business critical solutions for global enterprises • Providing Automotive DMS Integration for Honda, MSXI and Rolling Star
  • 18. Examples of our Automotive experience • Implemented Honda UK DMS • European Integration Partner solutions: for MSXI - Extensive DMS extracts being - After Sales and used cars CSI developed for UK and Europe - Auto parts replenishment project • Developed automotive framework for easily • Integrating with 12 different deployment of integration DMS systems extracts • Developed good relationships "Honda has been seeking to achieve with range of DSPs Dealer Network Integration for the last ten • Implemented DMS data years. With the help of ETL Solutions, this migrations has finally been achieved. Considering the success, Honda is now planning to extend this approach to the European dealers." Michael Doyle, Honda
  • 19. We are DMS data integration specialists • Considerable experience of Dealer Management System (DMS) data integration using: - Data integration tool: Transformation Manager - DataHub software • Easily deployed web download extracts • Automatic collection of data • Minimal dealer involvement
  • 20. Why ETL Solutions? "Honda has been seeking to achieve Dealer Network • 10-year track record in data Integration for the last ten years. management, working with global blue With the help of ETL Solutions, chip clients this has finally been achieved. Considering the success, Honda • Unparalleled knowledge from our team of is now planning to extend this approach to the European data integration experts, many of whom dealers." have been with us since inception Michael Doyle, Honda • Our Transformation Manager and DataHub software has been proven in even the most complex data movements “After recommending ETL Solutions as a preferred • Expert support: first line of contact is with provider, we have been delighted a developer or consultant by the speed with which they were able to demonstrate the • Data integration focus – it’s all that we do feasibility of integration and implement the subsequent production-level transforms." Graham Orr, Barloworld Optimus ©2009 ETL Solutions
  • 21. Please get in touch for more details on our data integration services: John Bigerstaff, Managing Director jab@etlsolutions.com Read more on our website at: http://www.etlsolutions.com/what-we-do/automotive/ Raising data management standards www.etlsolutions.com

Notas del editor

  1. For the last two years ETL have been working on DMS Integration for the Honda UK network