SlideShare a Scribd company logo
Document Scanning
  Considerations


     Peter Goodrich


       Goodrich Associates
      391 Mt. Sequoia Place
        Clayton, CA 94517
         (925) 673-1475
   petergoodrich@sbcglobal.net
Facts about Our Business Files

• 90% of your company's memory exists on paper
• 4 trillion documents are stored in manila folders
• Your volume of paper is growing at a rate of 22%
  per year
• Over 81 billion documents are copied each month
  - that's 19 copies per active document
Facts about Our Business Files
• 7% of all needed paper documents are lost and
  must be recreated
• 3% of the remaining files are misfiled
• Your organization loses approximately $20 for
  each lost or misfiled document
• Skilled professionals spend 10% of their time
  reading information
• Skilled professional spend 50% of that time
  looking for documents
                                     Source: Coopers & Lybrand
Technical Solution:
 Digital Document Management System
INPUT/CAPTURE                                                            RETRIEVAL


                    Microfilm
                    Scanner
                                                             LAN             Local Printer
                                                           Workstation
     Document
      Scanner


                                    Central System
                                   Computer Server                                WAN
       Relational
                                                                                Workstation
       Database

   STORAGE

                                    System Printer                 Internet Access
                                                     System FAX

                                               OUTPUT
         RAID, SAN, NAS, CD/DVD,
           Optical Disk Jukebox
Document Management
             Storage and Retrieve

                  COMPANY
                   PROCESS
                   (completed)




  Archival
 Document
Management
   System
Document Management
             Integrated Workflow

         COMPANY
          PROCESS




  Workflow
 Document
Management
 Subsystem
Installation Configurations

• In-house Stand-alone Document Management System

• In-house LAN Networked Document Management System

• In-house WAN Enterprise-wide Document Management
System

• In-house Internet-based Document Management System

• Hosted Internet-based Document Management System
Conversion Opportunities

                                                     DRAWING 68341 Sht... 3

                                                            DRAWING 68341 Sht.. 2

                                                                  DRAWING 68341 Sht.. 1




 Business
                                                     Aperture
Documents                             Engineering/
                                                      Cards
                  Microfiche          Large-Format

            Microfilm

                                             35mm Microfilm
                                               & Jackets

             CD-ROM/           Data
Optical Disk DVD-ROM
Hard Copy Conversion Strategies


         • Complete Backfile
         • Partial Backfile
         • On-demand (as required)


         • Day Forward (no Backfile Conversion)
Complete Backfile

 • Every File is Scanned
 • Media Independent (paper, film, fiche, etc.)
 • Application Specific (only certain
    applications require this conversion i.e., Life
    Insurance File, Litigation-Discovery, Medical
    History, etc. )
Partial Backfile
• Files or Documents Selection is based on
  Specific Criteria (i.e.,Time, Document Type, etc. )
• Media Dependent (film media difficult to partially convert)
• Application Specific (A/P, Mortgage Loan, etc.)
• May Require Long Term Paper File Access
On-demand Conversion



• Request Driven
• Media Dependent (roll film difficult/expensive to convert partially)
• Fulfillment Delay must be a consideration
• Requires Long Term Paper File Access
Cost Control Points

 • Project Planning
 • Document Preparation
 • Document Scanning
 • Index Capture or Data Entry
 • Quality Control Verification
 • Import into System
Document Preparation
Document Preparation is the first Mission Critical Task
      Required for a Successful Conversion
              • Removal from Folder
              • Staple Removal
              • Damaged Page Repair
              • Photo Copy (as required)
              • Page Sorting
              • Folder-level Index Insertion
              • Document-level Index Insertion
              • Quality Control
Document Capture
Document Capture Requires Constant Review for
        Optimum Quality Assurance

        • Scan Documents
        • Capture All Document Sides
        • Review Quality of Scanned Images
        • Rescan (as required)
        • Capture Folder-level Index Data
        • Capture Document-level Index Data
        • Quality Control
Index Capture/Creation
       Capture Machine Readable Data, Manually Key
           Fields and/or Merge Database Records
• Capture Machine Readable Data During Scanning
  – Bar Code
  – Marked Sense
  – OCR/ICR (Zone, Full Text, Restricted Hand Print)
• Key Data Entry of Non-intelligent Data Fields
• Verify Key Fields (Double Data Entry, Database Field Compare)
• Merge Additional Fields from Database
• Quality Control
Format Image & Index Data
      Images Must Comply with Imaging Systems
                Format Specification

• Images Formatted to comply with Document
  System’s Image Specification (TIFF, JPEG, PDF, MDI, etc.)
• Index Record Layout Compliant w. System’s Index
  Specification
• Data Format Options
• Quality Control
Record Image & Index Data
        Image and Index Data Must Comply with
      Imaging Systems Import Format Specification




• Images (and Index Data) Recorded onto Magnetic or
  Optical Media
• Images and Index data transmitted into System
• Images (and Index Data) Recorded onto Backup Media
Paper Conversion Workflow

Documents from                                Prepare Documents                         Scan Files
                      Log in                                          QC Prepared
   File Area
                      Boxes                                             Batches




                                           Folder Separator
                                                Sheets
               File Data                             Merge Additional Data Fields      Manual Index
                           Conversion
                                                                                          & QC
                            Database
     CAPTURE                   RETRIEVAL



                                            Transmit Images & Index
                                                Data into System
     STORAGE


                      OUTPUT

                                                                                Format Images & Index Data
                                                               Backup Disks
     Document Management System                                                    to comply with System
Typical Applications
• Accounts Payable             Day Forward
• Loan Files                   Complete or Partial
• Liability Insurance Claims   Complete or Partial
• Human Resources              Partial or On-demand
• Retirement Funds             Complete or On-demand
• Signature Cards              Complete
• Proof of Delivery            Day Forward
• Transportation Files         Day Forward
• Government Records           Complete or On-demand
• Hospital Records             Complete or Partial
• Law Enforcement              Complete or On-demand
What is Electronic Conversion?
                         RETRIEVAL
INPUT/CAPTURE




STORAGE



                OUTPUT




Old Legacy Document                     New Document Management System
Management System                                                      RETRIEVAL
                                              INPUT/CAPTURE




                                              STORAGE




                    Image, Index & COLD/ERM Data              OUTPUT
Why Do Companies Change Document
       Management Systems?
• Unsupported System Software
• Proprietary Image, Index, OD and COLD Formats
• System Doesn’t Support Changing Business Needs
• System Can’t Handle Increased Volumes
• Company Moving to Client/Server Environment
• Company Moving to Workflow Application
• Upgrade w. Existing Vendor not Viable
• Corporate Restructuring
Potential Conversion Issues
•   Proprietary Image Format to Decode
•   Proprietary Optical Disk Format to Decode
•   No Equipment to perform the Conversion
•   Limited Staff to Perform the Conversion
•   No Expertise to Perform Conversion
•   Proprietary COLD/ERM Data Format to Decode
•   Conversion Software Not Commercially Available
•   Existing System Vendor Unsupportive
Conversion Solutions

• IF Standard Formats (Image, Index, optical media
     and COLD) …do it yourself
• Ask your New Imaging Systems Vendor to
     perform the conversion
• Outsource the conversion to a Service Company
     which Specialized in this type of conversion
• Evaluate the need for the data in the New
     Imaging System
Summary
• Document your existing Business Process
• Define the Expected Benefits
• Involve other who have been through an
  implementation before
• Plan and Test the process prior to full
  implementation
   - Test with other Departments or Service Providers
   - Establish Realistic Time Lines
   - Create Contingency Plans
• Validate Actual Savings

More Related Content

What's hot

Wewebu customer success story California Dept. of Public Health
Wewebu customer success story California Dept. of Public HealthWewebu customer success story California Dept. of Public Health
Wewebu customer success story California Dept. of Public Health
WeWebU Software AG
 
Shared Oracle Hosting (Linux)
Shared Oracle Hosting (Linux)Shared Oracle Hosting (Linux)
Shared Oracle Hosting (Linux)
webhostingguy
 
DesignCon 2004 - OpenAccess Migration - Design Environment Integration
DesignCon 2004 - OpenAccess Migration - Design Environment IntegrationDesignCon 2004 - OpenAccess Migration - Design Environment Integration
DesignCon 2004 - OpenAccess Migration - Design Environment Integration
Tim55Ehrler
 
Shared Oracle Hosting (Linux)
Shared Oracle Hosting (Linux)Shared Oracle Hosting (Linux)
Shared Oracle Hosting (Linux)
webhostingguy
 
Establishing A Robust Data Migration Methodology - White Paper
Establishing A Robust Data Migration Methodology - White PaperEstablishing A Robust Data Migration Methodology - White Paper
Establishing A Robust Data Migration Methodology - White Paper
James Chi
 
2013 storage prediction hds hong kong
2013 storage prediction hds hong kong2013 storage prediction hds hong kong
2013 storage prediction hds hong kong
Andrew Wong
 
Windows Hosting Service-Level Description
Windows Hosting Service-Level DescriptionWindows Hosting Service-Level Description
Windows Hosting Service-Level Description
webhostingguy
 
Defining conservation taxonomy
Defining conservation taxonomyDefining conservation taxonomy
Defining conservation taxonomy
anicewick
 
Dfd and flowchart
Dfd and flowchartDfd and flowchart
Dfd and flowchart
Mir Majid
 
Data mining process powerpoint ppt templates.
Data mining process powerpoint ppt templates.Data mining process powerpoint ppt templates.
Data mining process powerpoint ppt templates.
SlideTeam.net
 
Data mining strategy powerpoint ppt slides.
Data mining strategy powerpoint ppt slides.Data mining strategy powerpoint ppt slides.
Data mining strategy powerpoint ppt slides.
SlideTeam.net
 
Data mining strategy powerpoint presentation templates.
Data mining strategy powerpoint presentation templates.Data mining strategy powerpoint presentation templates.
Data mining strategy powerpoint presentation templates.
SlideTeam.net
 
Data mining process powerpoint presentation templates.
Data mining process powerpoint presentation templates.Data mining process powerpoint presentation templates.
Data mining process powerpoint presentation templates.
SlideTeam.net
 
Data mining strategy powerpoint ppt templates.
Data mining strategy powerpoint ppt templates.Data mining strategy powerpoint ppt templates.
Data mining strategy powerpoint ppt templates.
SlideTeam.net
 
Data mining process powerpoint presentation slides.
Data mining process powerpoint presentation slides.Data mining process powerpoint presentation slides.
Data mining process powerpoint presentation slides.
SlideTeam.net
 
A Hybrid Technology Platform for Increasing the Speed of Operational Analytics
A Hybrid Technology Platform for Increasing the Speed of Operational AnalyticsA Hybrid Technology Platform for Increasing the Speed of Operational Analytics
A Hybrid Technology Platform for Increasing the Speed of Operational Analytics
IBMGovernmentCA
 
Novell File Management Suite for Microsoft Active Directory Environments
Novell File Management Suite for Microsoft Active Directory EnvironmentsNovell File Management Suite for Microsoft Active Directory Environments
Novell File Management Suite for Microsoft Active Directory Environments
Novell
 
Changing workflows changing processes part 2
Changing workflows changing processes part 2Changing workflows changing processes part 2
Changing workflows changing processes part 2
NCLA2011
 

What's hot (18)

Wewebu customer success story California Dept. of Public Health
Wewebu customer success story California Dept. of Public HealthWewebu customer success story California Dept. of Public Health
Wewebu customer success story California Dept. of Public Health
 
Shared Oracle Hosting (Linux)
Shared Oracle Hosting (Linux)Shared Oracle Hosting (Linux)
Shared Oracle Hosting (Linux)
 
DesignCon 2004 - OpenAccess Migration - Design Environment Integration
DesignCon 2004 - OpenAccess Migration - Design Environment IntegrationDesignCon 2004 - OpenAccess Migration - Design Environment Integration
DesignCon 2004 - OpenAccess Migration - Design Environment Integration
 
Shared Oracle Hosting (Linux)
Shared Oracle Hosting (Linux)Shared Oracle Hosting (Linux)
Shared Oracle Hosting (Linux)
 
Establishing A Robust Data Migration Methodology - White Paper
Establishing A Robust Data Migration Methodology - White PaperEstablishing A Robust Data Migration Methodology - White Paper
Establishing A Robust Data Migration Methodology - White Paper
 
2013 storage prediction hds hong kong
2013 storage prediction hds hong kong2013 storage prediction hds hong kong
2013 storage prediction hds hong kong
 
Windows Hosting Service-Level Description
Windows Hosting Service-Level DescriptionWindows Hosting Service-Level Description
Windows Hosting Service-Level Description
 
Defining conservation taxonomy
Defining conservation taxonomyDefining conservation taxonomy
Defining conservation taxonomy
 
Dfd and flowchart
Dfd and flowchartDfd and flowchart
Dfd and flowchart
 
Data mining process powerpoint ppt templates.
Data mining process powerpoint ppt templates.Data mining process powerpoint ppt templates.
Data mining process powerpoint ppt templates.
 
Data mining strategy powerpoint ppt slides.
Data mining strategy powerpoint ppt slides.Data mining strategy powerpoint ppt slides.
Data mining strategy powerpoint ppt slides.
 
Data mining strategy powerpoint presentation templates.
Data mining strategy powerpoint presentation templates.Data mining strategy powerpoint presentation templates.
Data mining strategy powerpoint presentation templates.
 
Data mining process powerpoint presentation templates.
Data mining process powerpoint presentation templates.Data mining process powerpoint presentation templates.
Data mining process powerpoint presentation templates.
 
Data mining strategy powerpoint ppt templates.
Data mining strategy powerpoint ppt templates.Data mining strategy powerpoint ppt templates.
Data mining strategy powerpoint ppt templates.
 
Data mining process powerpoint presentation slides.
Data mining process powerpoint presentation slides.Data mining process powerpoint presentation slides.
Data mining process powerpoint presentation slides.
 
A Hybrid Technology Platform for Increasing the Speed of Operational Analytics
A Hybrid Technology Platform for Increasing the Speed of Operational AnalyticsA Hybrid Technology Platform for Increasing the Speed of Operational Analytics
A Hybrid Technology Platform for Increasing the Speed of Operational Analytics
 
Novell File Management Suite for Microsoft Active Directory Environments
Novell File Management Suite for Microsoft Active Directory EnvironmentsNovell File Management Suite for Microsoft Active Directory Environments
Novell File Management Suite for Microsoft Active Directory Environments
 
Changing workflows changing processes part 2
Changing workflows changing processes part 2Changing workflows changing processes part 2
Changing workflows changing processes part 2
 

Similar to January 2006 Document Scanning Considerations Presentation

Dit Company Overview
Dit Company OverviewDit Company Overview
Dit Company Overview
bobscan307
 
Fujitsu & Readsoft Forms Classification and Document Automation Webinar
Fujitsu & Readsoft Forms Classification and Document Automation WebinarFujitsu & Readsoft Forms Classification and Document Automation Webinar
Fujitsu & Readsoft Forms Classification and Document Automation Webinar
Kevin Neal
 
PLM Data Migration
PLM Data MigrationPLM Data Migration
PLM Data Migration
Jagannathan Thiruvazhi (Jagan)
 
Document Imaging in Finance
Document Imaging in FinanceDocument Imaging in Finance
Document Imaging in Finance
Verbella CMG
 
Introduction to Hadoop
Introduction to HadoopIntroduction to Hadoop
Introduction to Hadoop
Ovidiu Dimulescu
 
Goods Receipt Document Imaging
Goods Receipt Document Imaging Goods Receipt Document Imaging
Goods Receipt Document Imaging
Verbella CMG
 
Isis Papyrus Document Capture Solutions
Isis Papyrus Document Capture SolutionsIsis Papyrus Document Capture Solutions
Isis Papyrus Document Capture Solutions
Friso de Jong
 
Ces Ecm 2009 Seminar
Ces Ecm 2009 SeminarCes Ecm 2009 Seminar
Ces Ecm 2009 Seminar
dvickers2000
 
Clincial Data Management
Clincial Data ManagementClincial Data Management
Clincial Data Management
Deepak Yadav
 
Oracle Distributed Document Capture
Oracle Distributed Document CaptureOracle Distributed Document Capture
Oracle Distributed Document Capture
guest035a27
 
Oracle Distributed Document Capture
Oracle Distributed Document CaptureOracle Distributed Document Capture
Oracle Distributed Document Capture
guest035a27
 
Oracle Distributed Document Capture
Oracle Distributed Document CaptureOracle Distributed Document Capture
Oracle Distributed Document Capture
guest035a27
 
How a Cloud Computing Provider Reached the Holy Grail of Visibility
How a Cloud Computing Provider Reached the Holy Grail of VisibilityHow a Cloud Computing Provider Reached the Holy Grail of Visibility
How a Cloud Computing Provider Reached the Holy Grail of Visibility
eladgotfrid
 
Integration
IntegrationIntegration
Integration
Haitham El-Ghareeb
 
Solving Compliance for Big Data
Solving Compliance for Big DataSolving Compliance for Big Data
Solving Compliance for Big Data
fbeckett1
 
fiwalk With Me: Building Emergent Pre-Ingest Workflows for Digital Archival R...
fiwalk With Me: Building Emergent Pre-Ingest Workflows for Digital Archival R...fiwalk With Me: Building Emergent Pre-Ingest Workflows for Digital Archival R...
fiwalk With Me: Building Emergent Pre-Ingest Workflows for Digital Archival R...
Mark Matienzo
 
Fujitsu Scanners & Perceptive Software Best Practices In The Hospital Admissi...
Fujitsu Scanners & Perceptive Software Best Practices In The Hospital Admissi...Fujitsu Scanners & Perceptive Software Best Practices In The Hospital Admissi...
Fujitsu Scanners & Perceptive Software Best Practices In The Hospital Admissi...
Kevin Neal
 
Q2 Briefing Presentation
Q2 Briefing PresentationQ2 Briefing Presentation
Q2 Briefing Presentation
Kurt Carlsen
 
Smartfish Presentation 2007
Smartfish Presentation 2007Smartfish Presentation 2007
Smartfish Presentation 2007
waynehooper
 
Kurukshetra - Big Data
Kurukshetra - Big DataKurukshetra - Big Data
Kurukshetra - Big Data
shankar_radhakrishnan
 

Similar to January 2006 Document Scanning Considerations Presentation (20)

Dit Company Overview
Dit Company OverviewDit Company Overview
Dit Company Overview
 
Fujitsu & Readsoft Forms Classification and Document Automation Webinar
Fujitsu & Readsoft Forms Classification and Document Automation WebinarFujitsu & Readsoft Forms Classification and Document Automation Webinar
Fujitsu & Readsoft Forms Classification and Document Automation Webinar
 
PLM Data Migration
PLM Data MigrationPLM Data Migration
PLM Data Migration
 
Document Imaging in Finance
Document Imaging in FinanceDocument Imaging in Finance
Document Imaging in Finance
 
Introduction to Hadoop
Introduction to HadoopIntroduction to Hadoop
Introduction to Hadoop
 
Goods Receipt Document Imaging
Goods Receipt Document Imaging Goods Receipt Document Imaging
Goods Receipt Document Imaging
 
Isis Papyrus Document Capture Solutions
Isis Papyrus Document Capture SolutionsIsis Papyrus Document Capture Solutions
Isis Papyrus Document Capture Solutions
 
Ces Ecm 2009 Seminar
Ces Ecm 2009 SeminarCes Ecm 2009 Seminar
Ces Ecm 2009 Seminar
 
Clincial Data Management
Clincial Data ManagementClincial Data Management
Clincial Data Management
 
Oracle Distributed Document Capture
Oracle Distributed Document CaptureOracle Distributed Document Capture
Oracle Distributed Document Capture
 
Oracle Distributed Document Capture
Oracle Distributed Document CaptureOracle Distributed Document Capture
Oracle Distributed Document Capture
 
Oracle Distributed Document Capture
Oracle Distributed Document CaptureOracle Distributed Document Capture
Oracle Distributed Document Capture
 
How a Cloud Computing Provider Reached the Holy Grail of Visibility
How a Cloud Computing Provider Reached the Holy Grail of VisibilityHow a Cloud Computing Provider Reached the Holy Grail of Visibility
How a Cloud Computing Provider Reached the Holy Grail of Visibility
 
Integration
IntegrationIntegration
Integration
 
Solving Compliance for Big Data
Solving Compliance for Big DataSolving Compliance for Big Data
Solving Compliance for Big Data
 
fiwalk With Me: Building Emergent Pre-Ingest Workflows for Digital Archival R...
fiwalk With Me: Building Emergent Pre-Ingest Workflows for Digital Archival R...fiwalk With Me: Building Emergent Pre-Ingest Workflows for Digital Archival R...
fiwalk With Me: Building Emergent Pre-Ingest Workflows for Digital Archival R...
 
Fujitsu Scanners & Perceptive Software Best Practices In The Hospital Admissi...
Fujitsu Scanners & Perceptive Software Best Practices In The Hospital Admissi...Fujitsu Scanners & Perceptive Software Best Practices In The Hospital Admissi...
Fujitsu Scanners & Perceptive Software Best Practices In The Hospital Admissi...
 
Q2 Briefing Presentation
Q2 Briefing PresentationQ2 Briefing Presentation
Q2 Briefing Presentation
 
Smartfish Presentation 2007
Smartfish Presentation 2007Smartfish Presentation 2007
Smartfish Presentation 2007
 
Kurukshetra - Big Data
Kurukshetra - Big DataKurukshetra - Big Data
Kurukshetra - Big Data
 

More from John Wang

How to Reduce Cost and Risk by Bringing E-Discovery In-House to Get Relevant ...
How to Reduce Cost and Risk by Bringing E-Discovery In-House to Get Relevant ...How to Reduce Cost and Risk by Bringing E-Discovery In-House to Get Relevant ...
How to Reduce Cost and Risk by Bringing E-Discovery In-House to Get Relevant ...
John Wang
 
The Role of Content Management in Electronic Health Records (EMR)
The Role of Content Management in Electronic Health Records (EMR)The Role of Content Management in Electronic Health Records (EMR)
The Role of Content Management in Electronic Health Records (EMR)
John Wang
 
February 2010 8 Things You Cant Afford To Ignore About eDiscovery
February 2010 8 Things You Cant Afford To Ignore About eDiscoveryFebruary 2010 8 Things You Cant Afford To Ignore About eDiscovery
February 2010 8 Things You Cant Afford To Ignore About eDiscovery
John Wang
 
February 2009 Working the IT/RIM Relationship Presentation by Helen Streck
February 2009 Working the IT/RIM Relationship Presentation by Helen StreckFebruary 2009 Working the IT/RIM Relationship Presentation by Helen Streck
February 2009 Working the IT/RIM Relationship Presentation by Helen Streck
John Wang
 
August 2008 Content Management ROI Presentation by Brian Dirking
August 2008 Content Management ROI Presentation by Brian DirkingAugust 2008 Content Management ROI Presentation by Brian Dirking
August 2008 Content Management ROI Presentation by Brian Dirking
John Wang
 
December 2007 Document Recognition Technology Overview Presentation
December 2007 Document Recognition Technology Overview PresentationDecember 2007 Document Recognition Technology Overview Presentation
December 2007 Document Recognition Technology Overview Presentation
John Wang
 
October 2006 Impact of PDF/A on Content Management by Christy Hubbard
October 2006 Impact of PDF/A on Content Management by Christy HubbardOctober 2006 Impact of PDF/A on Content Management by Christy Hubbard
October 2006 Impact of PDF/A on Content Management by Christy Hubbard
John Wang
 
January 2006 Archival Storage Strategies and Technologies Presentation
January 2006 Archival Storage Strategies and Technologies PresentationJanuary 2006 Archival Storage Strategies and Technologies Presentation
January 2006 Archival Storage Strategies and Technologies Presentation
John Wang
 
April 2005 Headlines Newsletter
April 2005 Headlines Newsletter April 2005 Headlines Newsletter
April 2005 Headlines Newsletter
John Wang
 

More from John Wang (9)

How to Reduce Cost and Risk by Bringing E-Discovery In-House to Get Relevant ...
How to Reduce Cost and Risk by Bringing E-Discovery In-House to Get Relevant ...How to Reduce Cost and Risk by Bringing E-Discovery In-House to Get Relevant ...
How to Reduce Cost and Risk by Bringing E-Discovery In-House to Get Relevant ...
 
The Role of Content Management in Electronic Health Records (EMR)
The Role of Content Management in Electronic Health Records (EMR)The Role of Content Management in Electronic Health Records (EMR)
The Role of Content Management in Electronic Health Records (EMR)
 
February 2010 8 Things You Cant Afford To Ignore About eDiscovery
February 2010 8 Things You Cant Afford To Ignore About eDiscoveryFebruary 2010 8 Things You Cant Afford To Ignore About eDiscovery
February 2010 8 Things You Cant Afford To Ignore About eDiscovery
 
February 2009 Working the IT/RIM Relationship Presentation by Helen Streck
February 2009 Working the IT/RIM Relationship Presentation by Helen StreckFebruary 2009 Working the IT/RIM Relationship Presentation by Helen Streck
February 2009 Working the IT/RIM Relationship Presentation by Helen Streck
 
August 2008 Content Management ROI Presentation by Brian Dirking
August 2008 Content Management ROI Presentation by Brian DirkingAugust 2008 Content Management ROI Presentation by Brian Dirking
August 2008 Content Management ROI Presentation by Brian Dirking
 
December 2007 Document Recognition Technology Overview Presentation
December 2007 Document Recognition Technology Overview PresentationDecember 2007 Document Recognition Technology Overview Presentation
December 2007 Document Recognition Technology Overview Presentation
 
October 2006 Impact of PDF/A on Content Management by Christy Hubbard
October 2006 Impact of PDF/A on Content Management by Christy HubbardOctober 2006 Impact of PDF/A on Content Management by Christy Hubbard
October 2006 Impact of PDF/A on Content Management by Christy Hubbard
 
January 2006 Archival Storage Strategies and Technologies Presentation
January 2006 Archival Storage Strategies and Technologies PresentationJanuary 2006 Archival Storage Strategies and Technologies Presentation
January 2006 Archival Storage Strategies and Technologies Presentation
 
April 2005 Headlines Newsletter
April 2005 Headlines Newsletter April 2005 Headlines Newsletter
April 2005 Headlines Newsletter
 

Recently uploaded

Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing InstancesEnergy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Alpen-Adria-Universität
 
Nordic Marketo Engage User Group_June 13_ 2024.pptx
Nordic Marketo Engage User Group_June 13_ 2024.pptxNordic Marketo Engage User Group_June 13_ 2024.pptx
Nordic Marketo Engage User Group_June 13_ 2024.pptx
MichaelKnudsen27
 
JavaLand 2024: Application Development Green Masterplan
JavaLand 2024: Application Development Green MasterplanJavaLand 2024: Application Development Green Masterplan
JavaLand 2024: Application Development Green Masterplan
Miro Wengner
 
What is an RPA CoE? Session 1 – CoE Vision
What is an RPA CoE?  Session 1 – CoE VisionWhat is an RPA CoE?  Session 1 – CoE Vision
What is an RPA CoE? Session 1 – CoE Vision
DianaGray10
 
Main news related to the CCS TSI 2023 (2023/1695)
Main news related to the CCS TSI 2023 (2023/1695)Main news related to the CCS TSI 2023 (2023/1695)
Main news related to the CCS TSI 2023 (2023/1695)
Jakub Marek
 
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
Jason Yip
 
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and MilvusGenerating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
Zilliz
 
GNSS spoofing via SDR (Criptored Talks 2024)
GNSS spoofing via SDR (Criptored Talks 2024)GNSS spoofing via SDR (Criptored Talks 2024)
GNSS spoofing via SDR (Criptored Talks 2024)
Javier Junquera
 
“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-eff...
“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-eff...“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-eff...
“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-eff...
Edge AI and Vision Alliance
 
FREE A4 Cyber Security Awareness Posters-Social Engineering part 3
FREE A4 Cyber Security Awareness  Posters-Social Engineering part 3FREE A4 Cyber Security Awareness  Posters-Social Engineering part 3
FREE A4 Cyber Security Awareness Posters-Social Engineering part 3
Data Hops
 
Apps Break Data
Apps Break DataApps Break Data
Apps Break Data
Ivo Velitchkov
 
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
saastr
 
Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
Biomedical Knowledge Graphs for Data Scientists and BioinformaticiansBiomedical Knowledge Graphs for Data Scientists and Bioinformaticians
Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
Neo4j
 
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge GraphGraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
Neo4j
 
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERPBest 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
Pixlogix Infotech
 
The Microsoft 365 Migration Tutorial For Beginner.pptx
The Microsoft 365 Migration Tutorial For Beginner.pptxThe Microsoft 365 Migration Tutorial For Beginner.pptx
The Microsoft 365 Migration Tutorial For Beginner.pptx
operationspcvita
 
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup SlidesProgramming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
Zilliz
 
Serial Arm Control in Real Time Presentation
Serial Arm Control in Real Time PresentationSerial Arm Control in Real Time Presentation
Serial Arm Control in Real Time Presentation
tolgahangng
 
Public CyberSecurity Awareness Presentation 2024.pptx
Public CyberSecurity Awareness Presentation 2024.pptxPublic CyberSecurity Awareness Presentation 2024.pptx
Public CyberSecurity Awareness Presentation 2024.pptx
marufrahmanstratejm
 
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyFreshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
ScyllaDB
 

Recently uploaded (20)

Energy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing InstancesEnergy Efficient Video Encoding for Cloud and Edge Computing Instances
Energy Efficient Video Encoding for Cloud and Edge Computing Instances
 
Nordic Marketo Engage User Group_June 13_ 2024.pptx
Nordic Marketo Engage User Group_June 13_ 2024.pptxNordic Marketo Engage User Group_June 13_ 2024.pptx
Nordic Marketo Engage User Group_June 13_ 2024.pptx
 
JavaLand 2024: Application Development Green Masterplan
JavaLand 2024: Application Development Green MasterplanJavaLand 2024: Application Development Green Masterplan
JavaLand 2024: Application Development Green Masterplan
 
What is an RPA CoE? Session 1 – CoE Vision
What is an RPA CoE?  Session 1 – CoE VisionWhat is an RPA CoE?  Session 1 – CoE Vision
What is an RPA CoE? Session 1 – CoE Vision
 
Main news related to the CCS TSI 2023 (2023/1695)
Main news related to the CCS TSI 2023 (2023/1695)Main news related to the CCS TSI 2023 (2023/1695)
Main news related to the CCS TSI 2023 (2023/1695)
 
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...
 
Generating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and MilvusGenerating privacy-protected synthetic data using Secludy and Milvus
Generating privacy-protected synthetic data using Secludy and Milvus
 
GNSS spoofing via SDR (Criptored Talks 2024)
GNSS spoofing via SDR (Criptored Talks 2024)GNSS spoofing via SDR (Criptored Talks 2024)
GNSS spoofing via SDR (Criptored Talks 2024)
 
“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-eff...
“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-eff...“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-eff...
“How Axelera AI Uses Digital Compute-in-memory to Deliver Fast and Energy-eff...
 
FREE A4 Cyber Security Awareness Posters-Social Engineering part 3
FREE A4 Cyber Security Awareness  Posters-Social Engineering part 3FREE A4 Cyber Security Awareness  Posters-Social Engineering part 3
FREE A4 Cyber Security Awareness Posters-Social Engineering part 3
 
Apps Break Data
Apps Break DataApps Break Data
Apps Break Data
 
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
 
Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
Biomedical Knowledge Graphs for Data Scientists and BioinformaticiansBiomedical Knowledge Graphs for Data Scientists and Bioinformaticians
Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
 
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge GraphGraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
GraphRAG for LifeSciences Hands-On with the Clinical Knowledge Graph
 
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERPBest 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
 
The Microsoft 365 Migration Tutorial For Beginner.pptx
The Microsoft 365 Migration Tutorial For Beginner.pptxThe Microsoft 365 Migration Tutorial For Beginner.pptx
The Microsoft 365 Migration Tutorial For Beginner.pptx
 
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup SlidesProgramming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
 
Serial Arm Control in Real Time Presentation
Serial Arm Control in Real Time PresentationSerial Arm Control in Real Time Presentation
Serial Arm Control in Real Time Presentation
 
Public CyberSecurity Awareness Presentation 2024.pptx
Public CyberSecurity Awareness Presentation 2024.pptxPublic CyberSecurity Awareness Presentation 2024.pptx
Public CyberSecurity Awareness Presentation 2024.pptx
 
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyFreshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-Efficiency
 

January 2006 Document Scanning Considerations Presentation

  • 1. Document Scanning Considerations Peter Goodrich Goodrich Associates 391 Mt. Sequoia Place Clayton, CA 94517 (925) 673-1475 petergoodrich@sbcglobal.net
  • 2. Facts about Our Business Files • 90% of your company's memory exists on paper • 4 trillion documents are stored in manila folders • Your volume of paper is growing at a rate of 22% per year • Over 81 billion documents are copied each month - that's 19 copies per active document
  • 3. Facts about Our Business Files • 7% of all needed paper documents are lost and must be recreated • 3% of the remaining files are misfiled • Your organization loses approximately $20 for each lost or misfiled document • Skilled professionals spend 10% of their time reading information • Skilled professional spend 50% of that time looking for documents Source: Coopers & Lybrand
  • 4. Technical Solution: Digital Document Management System INPUT/CAPTURE RETRIEVAL Microfilm Scanner LAN Local Printer Workstation Document Scanner Central System Computer Server WAN Relational Workstation Database STORAGE System Printer Internet Access System FAX OUTPUT RAID, SAN, NAS, CD/DVD, Optical Disk Jukebox
  • 5. Document Management Storage and Retrieve COMPANY PROCESS (completed) Archival Document Management System
  • 6. Document Management Integrated Workflow COMPANY PROCESS Workflow Document Management Subsystem
  • 7. Installation Configurations • In-house Stand-alone Document Management System • In-house LAN Networked Document Management System • In-house WAN Enterprise-wide Document Management System • In-house Internet-based Document Management System • Hosted Internet-based Document Management System
  • 8. Conversion Opportunities DRAWING 68341 Sht... 3 DRAWING 68341 Sht.. 2 DRAWING 68341 Sht.. 1 Business Aperture Documents Engineering/ Cards Microfiche Large-Format Microfilm 35mm Microfilm & Jackets CD-ROM/ Data Optical Disk DVD-ROM
  • 9. Hard Copy Conversion Strategies • Complete Backfile • Partial Backfile • On-demand (as required) • Day Forward (no Backfile Conversion)
  • 10. Complete Backfile • Every File is Scanned • Media Independent (paper, film, fiche, etc.) • Application Specific (only certain applications require this conversion i.e., Life Insurance File, Litigation-Discovery, Medical History, etc. )
  • 11. Partial Backfile • Files or Documents Selection is based on Specific Criteria (i.e.,Time, Document Type, etc. ) • Media Dependent (film media difficult to partially convert) • Application Specific (A/P, Mortgage Loan, etc.) • May Require Long Term Paper File Access
  • 12. On-demand Conversion • Request Driven • Media Dependent (roll film difficult/expensive to convert partially) • Fulfillment Delay must be a consideration • Requires Long Term Paper File Access
  • 13. Cost Control Points • Project Planning • Document Preparation • Document Scanning • Index Capture or Data Entry • Quality Control Verification • Import into System
  • 14. Document Preparation Document Preparation is the first Mission Critical Task Required for a Successful Conversion • Removal from Folder • Staple Removal • Damaged Page Repair • Photo Copy (as required) • Page Sorting • Folder-level Index Insertion • Document-level Index Insertion • Quality Control
  • 15. Document Capture Document Capture Requires Constant Review for Optimum Quality Assurance • Scan Documents • Capture All Document Sides • Review Quality of Scanned Images • Rescan (as required) • Capture Folder-level Index Data • Capture Document-level Index Data • Quality Control
  • 16. Index Capture/Creation Capture Machine Readable Data, Manually Key Fields and/or Merge Database Records • Capture Machine Readable Data During Scanning – Bar Code – Marked Sense – OCR/ICR (Zone, Full Text, Restricted Hand Print) • Key Data Entry of Non-intelligent Data Fields • Verify Key Fields (Double Data Entry, Database Field Compare) • Merge Additional Fields from Database • Quality Control
  • 17. Format Image & Index Data Images Must Comply with Imaging Systems Format Specification • Images Formatted to comply with Document System’s Image Specification (TIFF, JPEG, PDF, MDI, etc.) • Index Record Layout Compliant w. System’s Index Specification • Data Format Options • Quality Control
  • 18. Record Image & Index Data Image and Index Data Must Comply with Imaging Systems Import Format Specification • Images (and Index Data) Recorded onto Magnetic or Optical Media • Images and Index data transmitted into System • Images (and Index Data) Recorded onto Backup Media
  • 19. Paper Conversion Workflow Documents from Prepare Documents Scan Files Log in QC Prepared File Area Boxes Batches Folder Separator Sheets File Data Merge Additional Data Fields Manual Index Conversion & QC Database CAPTURE RETRIEVAL Transmit Images & Index Data into System STORAGE OUTPUT Format Images & Index Data Backup Disks Document Management System to comply with System
  • 20. Typical Applications • Accounts Payable Day Forward • Loan Files Complete or Partial • Liability Insurance Claims Complete or Partial • Human Resources Partial or On-demand • Retirement Funds Complete or On-demand • Signature Cards Complete • Proof of Delivery Day Forward • Transportation Files Day Forward • Government Records Complete or On-demand • Hospital Records Complete or Partial • Law Enforcement Complete or On-demand
  • 21. What is Electronic Conversion? RETRIEVAL INPUT/CAPTURE STORAGE OUTPUT Old Legacy Document New Document Management System Management System RETRIEVAL INPUT/CAPTURE STORAGE Image, Index & COLD/ERM Data OUTPUT
  • 22. Why Do Companies Change Document Management Systems? • Unsupported System Software • Proprietary Image, Index, OD and COLD Formats • System Doesn’t Support Changing Business Needs • System Can’t Handle Increased Volumes • Company Moving to Client/Server Environment • Company Moving to Workflow Application • Upgrade w. Existing Vendor not Viable • Corporate Restructuring
  • 23. Potential Conversion Issues • Proprietary Image Format to Decode • Proprietary Optical Disk Format to Decode • No Equipment to perform the Conversion • Limited Staff to Perform the Conversion • No Expertise to Perform Conversion • Proprietary COLD/ERM Data Format to Decode • Conversion Software Not Commercially Available • Existing System Vendor Unsupportive
  • 24. Conversion Solutions • IF Standard Formats (Image, Index, optical media and COLD) …do it yourself • Ask your New Imaging Systems Vendor to perform the conversion • Outsource the conversion to a Service Company which Specialized in this type of conversion • Evaluate the need for the data in the New Imaging System
  • 25. Summary • Document your existing Business Process • Define the Expected Benefits • Involve other who have been through an implementation before • Plan and Test the process prior to full implementation - Test with other Departments or Service Providers - Establish Realistic Time Lines - Create Contingency Plans • Validate Actual Savings