SlideShare a Scribd company logo
1
CASE BERTEL O. STEEN
MAKING SERVICE MORE AGILE
Petri Sysilahti
Solution Architect
Elinar
1/2018
2
AGENDA
• The players
• The field
• The story
• The tools – and the future
• QA
3
THE PLAYERS – BERTEL O. STEEN [BOS]
• One of Norway’s largest service and training companies
• Imports and resells Kia, Peugeot, Citroen and Mercedes
Benz cars
• 2011 had 2 660 man-years and operating revenues of
1,27 billion euros
4
THE PLAYERS - ELINAR
• 22+ years of expertise on content-centric processes
• Integrator for IBM Analytics products in Nordics
• Offices in Finland, Sweden and Norway
• Founded 1994
• IBM Gold Business Partner
• 100% IBM – no other vendors
ELINAR will help
knowledge-intensive
organizations
turn their data
into business value.
6
AGENDA
• The players
• The field
• The story
• The tools – and the future
• QA
7
THE MATERIAL
• BOS has about 200 locations across Norway
• Dealerships generate thousands of documents every day
• Documents include typical car retail and service industry
material:
• Sales contracts
• Work orders
• HR documents
• And many others
8
THE BACKGROUND - NEEDS
• Improve service by making use of documents more agile
• Save time and increase quality
• Make audits, storaging and finding content easier
• At the beginning documents were stored on paper in an
archive
• Some scanned and saved to a network drive
9
AGENDA
• The players
• The field
• The story
• The tools – and the future
• QA
10
THE BEGINNING
• Improving the current situation by implementing a digital
archive for the documents
• The archive, called BDA (BOS Digital Archive) would
consist of
• IBM Filenet as a content repository to store the documents
• IBM Watson as an analytical search engine to find and analyze them
• IBM Datacap as a capture solution to push content into the archive
• IBM Navigator as the easy to use front-end and user interface
11
THE FIRST STEPS
• BDA was established and configured for two most
common and most needed document types
• Work order
• Sales contract
12
THE FIRST STEPS - DOCUMENT TYPE CONFIGURATION
Determine archival
strategy for
document type
Define document
properties and
recognition
strategy
Decide whether
back-end systems
can be leveraged
during recognition
13
THE DATACAP WORKFLOW (SIMPLIFIED)
The printers scan
into a network
disk *
Datacap monitors
network disk and
picks up scanned
documents as
they appear
Document is
processed, data
extracted and
validated
If validation
reveals any
issues, document
goes into manual
verify
The validated and
possibly verified
document is
stored into the
BDA as a text-
searchable PDF
file
*) Each BOS dealership was equipped with at least one multifunction printer acting as a
scanner
14
THE ARCHIVE
• Robust and scalable enterprise-level archive platform
(IBM Filenet)
• Secure: Lets BOS decide who can see what based on the
dealer the employees work at
• Audit functionality enables confirming policies are being
followed
15
THE ARCHIVE
• IBM Watson acts as an easy-to-access search engine,
making finding the right documents easy and intuitive
• Analytics capabilities enable discovering new insights
from the archived material
• Easily accessible with a web browser from anywhere on
mobile or computer
16
EXPANDING THE WORK ORDER
• A work order is essentially just one document but it has many
supplemental components such as
• Photos
• Diagnostic scan reports
• Other related documents
• These are already mostly digital
• An upload function was created to facilitate adding related
documents to a specific work order
17
THE NUMBERS
1500–2000
documents
scanned daily
80-90% of these
are work orders
Total daily
volume
twice that
(including
supplemental
documents)
Less than
5 % go to
manual validation
18
8 full-time
equivalents
of work
saved
annually
approximately
Reliable
platform
to be
expanded
Warranty
claims are
handled
efficiently
Audit
processes
are easier
1 2 3 4
THE BUSINESS IMPACT
19
USE OF ARCHIVE HAS ALREADY BEING EXTENDED
• More document types are being defined
• Administrative documents
• Additional vehicle related documents
• Additional input channels are added
• Use of analytics
• Windows Explorer integration
• Using the BDA as a document provider for other applications
20
AGENDA
• The players
• The field
• The story
• The tools – and the future
• QA
21
THE TECHNIQUES
• Datacap – traditional capture techniques are being used
• Fingerprinting
• Locate and keyword based approach
• Insight functionality being added as needed
• IBM Content classification
• Back-end systems integration
• Content Management Interoperability Services (CMIS)
22
THE FUTURE
• Compliance for EU General Data Protection
Regulation (GDPR) – Take a look at Elinar
Miner product
• Artificial Intelligence
• Case management methodologies
23
AGENDA
• The players
• The field
• The story
• The tools – and the future
• QA
24
CONTACT US
Solution Architect Petri
Sysilahti
petri.sysilahti@elinar.com
www.elinar.com
@sysipetri
@ElinarOyLtd
https://www.linkedin.com/in/petri-sysilahti-38519716/
https://www.linkedin.com/company/2622808/
25

More Related Content

PPTX
The electronic solution for the newly implemented BIR 2307 Form Requirements
PPTX
Open Source GLPi Network Asset Management and ITSM
PPTX
Nagios Consulting Implementation and Maintenance
PPTX
TechFuse 2012: SharePoint business applications at your fingertips
PDF
OpenNMS Consulting, Implementation and Support Services
PDF
Mobile Maintenance App Insight Mobile SAP PM
PPTX
OTRS Consulting, Implementation, Customization and AMC
PPTX
The electronic solution for the newly implemented BIR 2307 Form Requirements
Open Source GLPi Network Asset Management and ITSM
Nagios Consulting Implementation and Maintenance
TechFuse 2012: SharePoint business applications at your fingertips
OpenNMS Consulting, Implementation and Support Services
Mobile Maintenance App Insight Mobile SAP PM
OTRS Consulting, Implementation, Customization and AMC

What's hot (20)

PPTX
Changes: Marrickville Library
KEY
Drupal Commerce Drupalhagen 2012
PPTX
Gilreath diving into the details apwa_presentation_final
PPS
ADDI-DATA - MSX-ilog Data Loggers
PDF
Monitoring Network Function Virtualization Infrastructure (NFVI) with Zenoss
PDF
Marc Steegmans - Customer story Bewel
PPTX
Introduction to rdc arrow 2016
PPTX
CSD application overview
PPTX
Enabling Ad Hoc Reporting
PPTX
Traditional BI + Business Discovery
PPTX
Open Source IT Monitoring and ITSM for BFSI
PPTX
Inforln.com Baan to LN Upgrade Differences Training - UI Enhancements
PPTX
Sybiz Vision.NET & IT as a Service (ITaaS)
PPTX
Modernisation of BI Business Intelligence and Data Warehouse Solutions at Tra...
PPT
Allied Consultants - Business to Business (B2B) Integration
PPT
Drive Superior Customer Experiences With Integration Appliances
PDF
Ensuring the Success of a Global Partner Network - How Dropbox is managing it...
PPTX
Monitoring aws finance spend
PPT
Cloud solutions overview
ODP
Data Warehouse Introduction
Changes: Marrickville Library
Drupal Commerce Drupalhagen 2012
Gilreath diving into the details apwa_presentation_final
ADDI-DATA - MSX-ilog Data Loggers
Monitoring Network Function Virtualization Infrastructure (NFVI) with Zenoss
Marc Steegmans - Customer story Bewel
Introduction to rdc arrow 2016
CSD application overview
Enabling Ad Hoc Reporting
Traditional BI + Business Discovery
Open Source IT Monitoring and ITSM for BFSI
Inforln.com Baan to LN Upgrade Differences Training - UI Enhancements
Sybiz Vision.NET & IT as a Service (ITaaS)
Modernisation of BI Business Intelligence and Data Warehouse Solutions at Tra...
Allied Consultants - Business to Business (B2B) Integration
Drive Superior Customer Experiences With Integration Appliances
Ensuring the Success of a Global Partner Network - How Dropbox is managing it...
Monitoring aws finance spend
Cloud solutions overview
Data Warehouse Introduction
Ad

Similar to Making service more agile - Case Bertel O. Steen (20)

PDF
Big Data Evolution
PPTX
IBA Group Profile 2019
PPTX
Is your big data journey stalling? Take the Leap with Capgemini and Cloudera
PPT
Three signs your architecture is too small for big data. Camp IT December 2014
PDF
Be the Data Hero in Your Organization with SAP and CA Analytic Solutions
PPTX
Data Warehousing & Business Intelligence 5 Years From Now
PPTX
Bbbt presentation 210415_final_2
PPTX
Streamline Your Oil & Gas Master Data Processes Using Precisely
PDF
Drive Smarter Decisions with Big Data Using Complex Event Processing
PPTX
Di in the age of digital disruptions v1.0
PDF
Data Virtualization - Enabling Next Generation Analytics
PPTX
Data Virtualization – Gateway to a Digital Business - Barry Devlin
PPT
8.17.11 big data and hadoop with informatica slideshare
PDF
How to build a data-driven SAP S/4HANA Business Case using Digital Maps
PPT
Success Story_UniCredit Leasing_ Austria
PPTX
Abidin, zainal IBM Software "Data is a New Oil"
PDF
SAP Competency Overview at Azur
PDF
CamundaCon 2018: The (Re-)Emergence of Workflow Automation (Keynote) (Camunda)
PPTX
What You Need to Know About IBM i Modernization and Optimization
PPTX
MapR on Azure: Getting Value from Big Data in the Cloud -
Big Data Evolution
IBA Group Profile 2019
Is your big data journey stalling? Take the Leap with Capgemini and Cloudera
Three signs your architecture is too small for big data. Camp IT December 2014
Be the Data Hero in Your Organization with SAP and CA Analytic Solutions
Data Warehousing & Business Intelligence 5 Years From Now
Bbbt presentation 210415_final_2
Streamline Your Oil & Gas Master Data Processes Using Precisely
Drive Smarter Decisions with Big Data Using Complex Event Processing
Di in the age of digital disruptions v1.0
Data Virtualization - Enabling Next Generation Analytics
Data Virtualization – Gateway to a Digital Business - Barry Devlin
8.17.11 big data and hadoop with informatica slideshare
How to build a data-driven SAP S/4HANA Business Case using Digital Maps
Success Story_UniCredit Leasing_ Austria
Abidin, zainal IBM Software "Data is a New Oil"
SAP Competency Overview at Azur
CamundaCon 2018: The (Re-)Emergence of Workflow Automation (Keynote) (Camunda)
What You Need to Know About IBM i Modernization and Optimization
MapR on Azure: Getting Value from Big Data in the Cloud -
Ad

Recently uploaded (20)

PDF
Per capita expenditure prediction using model stacking based on satellite ima...
DOCX
The AUB Centre for AI in Media Proposal.docx
PDF
Peak of Data & AI Encore- AI for Metadata and Smarter Workflows
PDF
The Rise and Fall of 3GPP – Time for a Sabbatical?
PDF
Diabetes mellitus diagnosis method based random forest with bat algorithm
PPTX
PA Analog/Digital System: The Backbone of Modern Surveillance and Communication
PDF
Agricultural_Statistics_at_a_Glance_2022_0.pdf
PDF
NewMind AI Monthly Chronicles - July 2025
PPTX
MYSQL Presentation for SQL database connectivity
PPTX
Understanding_Digital_Forensics_Presentation.pptx
PDF
Build a system with the filesystem maintained by OSTree @ COSCUP 2025
PPTX
VMware vSphere Foundation How to Sell Presentation-Ver1.4-2-14-2024.pptx
PPTX
Effective Security Operations Center (SOC) A Modern, Strategic, and Threat-In...
PDF
Reach Out and Touch Someone: Haptics and Empathic Computing
PPTX
Big Data Technologies - Introduction.pptx
PDF
How UI/UX Design Impacts User Retention in Mobile Apps.pdf
PDF
Bridging biosciences and deep learning for revolutionary discoveries: a compr...
PDF
Mobile App Security Testing_ A Comprehensive Guide.pdf
PPTX
Detection-First SIEM: Rule Types, Dashboards, and Threat-Informed Strategy
PDF
Building Integrated photovoltaic BIPV_UPV.pdf
Per capita expenditure prediction using model stacking based on satellite ima...
The AUB Centre for AI in Media Proposal.docx
Peak of Data & AI Encore- AI for Metadata and Smarter Workflows
The Rise and Fall of 3GPP – Time for a Sabbatical?
Diabetes mellitus diagnosis method based random forest with bat algorithm
PA Analog/Digital System: The Backbone of Modern Surveillance and Communication
Agricultural_Statistics_at_a_Glance_2022_0.pdf
NewMind AI Monthly Chronicles - July 2025
MYSQL Presentation for SQL database connectivity
Understanding_Digital_Forensics_Presentation.pptx
Build a system with the filesystem maintained by OSTree @ COSCUP 2025
VMware vSphere Foundation How to Sell Presentation-Ver1.4-2-14-2024.pptx
Effective Security Operations Center (SOC) A Modern, Strategic, and Threat-In...
Reach Out and Touch Someone: Haptics and Empathic Computing
Big Data Technologies - Introduction.pptx
How UI/UX Design Impacts User Retention in Mobile Apps.pdf
Bridging biosciences and deep learning for revolutionary discoveries: a compr...
Mobile App Security Testing_ A Comprehensive Guide.pdf
Detection-First SIEM: Rule Types, Dashboards, and Threat-Informed Strategy
Building Integrated photovoltaic BIPV_UPV.pdf

Making service more agile - Case Bertel O. Steen

  • 1. 1 CASE BERTEL O. STEEN MAKING SERVICE MORE AGILE Petri Sysilahti Solution Architect Elinar 1/2018
  • 2. 2 AGENDA • The players • The field • The story • The tools – and the future • QA
  • 3. 3 THE PLAYERS – BERTEL O. STEEN [BOS] • One of Norway’s largest service and training companies • Imports and resells Kia, Peugeot, Citroen and Mercedes Benz cars • 2011 had 2 660 man-years and operating revenues of 1,27 billion euros
  • 4. 4 THE PLAYERS - ELINAR • 22+ years of expertise on content-centric processes • Integrator for IBM Analytics products in Nordics • Offices in Finland, Sweden and Norway • Founded 1994 • IBM Gold Business Partner • 100% IBM – no other vendors
  • 6. 6 AGENDA • The players • The field • The story • The tools – and the future • QA
  • 7. 7 THE MATERIAL • BOS has about 200 locations across Norway • Dealerships generate thousands of documents every day • Documents include typical car retail and service industry material: • Sales contracts • Work orders • HR documents • And many others
  • 8. 8 THE BACKGROUND - NEEDS • Improve service by making use of documents more agile • Save time and increase quality • Make audits, storaging and finding content easier • At the beginning documents were stored on paper in an archive • Some scanned and saved to a network drive
  • 9. 9 AGENDA • The players • The field • The story • The tools – and the future • QA
  • 10. 10 THE BEGINNING • Improving the current situation by implementing a digital archive for the documents • The archive, called BDA (BOS Digital Archive) would consist of • IBM Filenet as a content repository to store the documents • IBM Watson as an analytical search engine to find and analyze them • IBM Datacap as a capture solution to push content into the archive • IBM Navigator as the easy to use front-end and user interface
  • 11. 11 THE FIRST STEPS • BDA was established and configured for two most common and most needed document types • Work order • Sales contract
  • 12. 12 THE FIRST STEPS - DOCUMENT TYPE CONFIGURATION Determine archival strategy for document type Define document properties and recognition strategy Decide whether back-end systems can be leveraged during recognition
  • 13. 13 THE DATACAP WORKFLOW (SIMPLIFIED) The printers scan into a network disk * Datacap monitors network disk and picks up scanned documents as they appear Document is processed, data extracted and validated If validation reveals any issues, document goes into manual verify The validated and possibly verified document is stored into the BDA as a text- searchable PDF file *) Each BOS dealership was equipped with at least one multifunction printer acting as a scanner
  • 14. 14 THE ARCHIVE • Robust and scalable enterprise-level archive platform (IBM Filenet) • Secure: Lets BOS decide who can see what based on the dealer the employees work at • Audit functionality enables confirming policies are being followed
  • 15. 15 THE ARCHIVE • IBM Watson acts as an easy-to-access search engine, making finding the right documents easy and intuitive • Analytics capabilities enable discovering new insights from the archived material • Easily accessible with a web browser from anywhere on mobile or computer
  • 16. 16 EXPANDING THE WORK ORDER • A work order is essentially just one document but it has many supplemental components such as • Photos • Diagnostic scan reports • Other related documents • These are already mostly digital • An upload function was created to facilitate adding related documents to a specific work order
  • 17. 17 THE NUMBERS 1500–2000 documents scanned daily 80-90% of these are work orders Total daily volume twice that (including supplemental documents) Less than 5 % go to manual validation
  • 18. 18 8 full-time equivalents of work saved annually approximately Reliable platform to be expanded Warranty claims are handled efficiently Audit processes are easier 1 2 3 4 THE BUSINESS IMPACT
  • 19. 19 USE OF ARCHIVE HAS ALREADY BEING EXTENDED • More document types are being defined • Administrative documents • Additional vehicle related documents • Additional input channels are added • Use of analytics • Windows Explorer integration • Using the BDA as a document provider for other applications
  • 20. 20 AGENDA • The players • The field • The story • The tools – and the future • QA
  • 21. 21 THE TECHNIQUES • Datacap – traditional capture techniques are being used • Fingerprinting • Locate and keyword based approach • Insight functionality being added as needed • IBM Content classification • Back-end systems integration • Content Management Interoperability Services (CMIS)
  • 22. 22 THE FUTURE • Compliance for EU General Data Protection Regulation (GDPR) – Take a look at Elinar Miner product • Artificial Intelligence • Case management methodologies
  • 23. 23 AGENDA • The players • The field • The story • The tools – and the future • QA
  • 24. 24 CONTACT US Solution Architect Petri Sysilahti petri.sysilahti@elinar.com www.elinar.com @sysipetri @ElinarOyLtd https://www.linkedin.com/in/petri-sysilahti-38519716/ https://www.linkedin.com/company/2622808/
  • 25. 25