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Introducing OpenText Auto-Classification
What if...
It is possible to...
  REDUCE
                    Compliance
   Legal Risk
                      Security
eDiscovery Costs
                   Responsiveness
  Storage Cost
                    INCREASE
Using Records Management




                    driven Archiving
 for responsible
Retention, Disposition and Legal Hold
You don’t have to take
  our word for it...
Business Drivers

    When you consider current projects and priorities for managing electronic
    records, which THREE of the following are the strongest business drivers for your
    organization?              0% 10% 20%      30%      40%     50%

     Compliance with statutory
                                                                        Compliance
        records legislation                                           winning out this
         Reduce storage costs                                        time over sharing
      Compliance with industry                                       knowledge (just),
              regulations
           Exploit and share our
           knowledge resources
         Improve litigation
                                                                      but reducing
     performance and cut costs                                       storage costs a
          Quality improvement
                 program                                              high priority.
         Better response to
    events, accidents, press, FOI…
      More personal & accurate
        service to customers
               Green initiatives
            Compliance with
        employment regulations
    Faster and cheaper financial
               audits                                    N=717
                                       ©AIIM 2011
6
E-Discovery - ROI

     By how much do you feel your audit, legal costs, court costs, fines and damages
    could be reduced if you applied best practice records management, security and
    e-Discovery procedures in your organization?
                                                      % of respondents
                                            0%   5%      10%     15%     20%      25%                   Average is 23%
                                                                                                         reduction in
         0% - We feel we already do this!
                                                                                                          costs (inc.
                                 5% less                                                                 “already do
                                10% less                                                                  this”, 27%
                                15% less
                                                                                                         otherwise).

                      25% (by a quarter)
                                                                                                        25% reduction
                                33% less                                                                 is a common
                          50% (by a half)
                                                                                                           estimate.
                       More than halved



                                                                         N=358, excl. 292 Don't Knows
                                                        ©AIIM 2011
7
All you have do is...
Ask end-users to
sort and identify business records and transitory content


   CLASSIFY
   CONTENT
   because classifying information drives
        retention and disposition
As if..!
Introducing
OpenText Auto-Classification
OpenText Auto-Classification is the first automated classification
application with built-in transparency and defensibility

Transparent                            Defensible
  Step-by-step tuning                  Built-in statistical sampling
  guide and feedback                   and quality assurance
OpenText Auto-Classification
                Classifies content based
                  on understanding of
                the content, rules, or a
                  combination of both
               Critical for low touch, high
                     volume content

 Remove end-users from the equation
Records Manager’s Requirements
     for Auto-Classification


 A transparent process      Facilitate adequate
 such that the basis for    sampling to demonstrate
 automated classification   both classification accuracy
 decisions can be readily   (precision) and
 understood, tuned and      completeness (recall) that
 explained                  aligns with the risk profile
                            of the information
Can we trust the
 technology..?
Can We Trust the Technology

                             YES!
                        If it is used effectively
                       and is accompanied by
                       a defensible, consistent
                        classification program

Auto-Classification practices will be challenged
Is Perfection the Standard?
                    Auto-Classification
                      demonstrates a
                 programmatic, consistent
                  and thorough approach
                     to retention and
                        disposition


Courts do not demand perfection – just
    reasonable, good-faith efforts
Was Perfection Ever the
              Standard?
               Accuracy Buy-In Relative Accuracy

                  90%      50%      45%
 Human
(reference)




               60% - 90%   100%   60% - 90%
Machine
(challenger)
Auto-Classification can be
 part of our RM program
OpenText Auto-Classification
Transparent, Defensible Auto-Classification
 Apply RM Classifications    Addresses the
  as part of a consistent,     fundamental issues
  programmatic element of      associated to applying
  an Information               classifications to high
  Governance Program           volume, low touch
 Reduce                       content
   Litigation risk           Addresses Records
   Storage Costs              Manager’s and
   eDiscovery costs           Compliance concerns for
 Improve end-user             defensibility and
  productivity and reduce      transparency
  compliance concerns
OpenText Information
Governance Solutions




    Striking a balance between
    competing priorities in the
creation, retention and disposition
             of content

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Introducing OpenText Auto-Classification

  • 3. It is possible to... REDUCE Compliance Legal Risk Security eDiscovery Costs Responsiveness Storage Cost INCREASE
  • 4. Using Records Management driven Archiving for responsible Retention, Disposition and Legal Hold
  • 5. You don’t have to take our word for it...
  • 6. Business Drivers When you consider current projects and priorities for managing electronic records, which THREE of the following are the strongest business drivers for your organization? 0% 10% 20% 30% 40% 50% Compliance with statutory Compliance records legislation winning out this Reduce storage costs time over sharing Compliance with industry knowledge (just), regulations Exploit and share our knowledge resources Improve litigation but reducing performance and cut costs storage costs a Quality improvement program high priority. Better response to events, accidents, press, FOI… More personal & accurate service to customers Green initiatives Compliance with employment regulations Faster and cheaper financial audits N=717 ©AIIM 2011 6
  • 7. E-Discovery - ROI By how much do you feel your audit, legal costs, court costs, fines and damages could be reduced if you applied best practice records management, security and e-Discovery procedures in your organization? % of respondents 0% 5% 10% 15% 20% 25% Average is 23% reduction in 0% - We feel we already do this! costs (inc. 5% less “already do 10% less this”, 27% 15% less otherwise). 25% (by a quarter) 25% reduction 33% less is a common 50% (by a half) estimate. More than halved N=358, excl. 292 Don't Knows ©AIIM 2011 7
  • 8. All you have do is...
  • 9. Ask end-users to sort and identify business records and transitory content CLASSIFY CONTENT because classifying information drives retention and disposition
  • 11. Introducing OpenText Auto-Classification OpenText Auto-Classification is the first automated classification application with built-in transparency and defensibility Transparent Defensible Step-by-step tuning Built-in statistical sampling guide and feedback and quality assurance
  • 12. OpenText Auto-Classification Classifies content based on understanding of the content, rules, or a combination of both Critical for low touch, high volume content Remove end-users from the equation
  • 13. Records Manager’s Requirements for Auto-Classification A transparent process Facilitate adequate such that the basis for sampling to demonstrate automated classification both classification accuracy decisions can be readily (precision) and understood, tuned and completeness (recall) that explained aligns with the risk profile of the information
  • 14. Can we trust the technology..?
  • 15. Can We Trust the Technology YES! If it is used effectively and is accompanied by a defensible, consistent classification program Auto-Classification practices will be challenged
  • 16. Is Perfection the Standard? Auto-Classification demonstrates a programmatic, consistent and thorough approach to retention and disposition Courts do not demand perfection – just reasonable, good-faith efforts
  • 17. Was Perfection Ever the Standard? Accuracy Buy-In Relative Accuracy 90% 50% 45% Human (reference) 60% - 90% 100% 60% - 90% Machine (challenger)
  • 18. Auto-Classification can be part of our RM program
  • 19. OpenText Auto-Classification Transparent, Defensible Auto-Classification  Apply RM Classifications  Addresses the as part of a consistent, fundamental issues programmatic element of associated to applying an Information classifications to high Governance Program volume, low touch  Reduce content  Litigation risk  Addresses Records  Storage Costs Manager’s and  eDiscovery costs Compliance concerns for  Improve end-user defensibility and productivity and reduce transparency compliance concerns
  • 20. OpenText Information Governance Solutions Striking a balance between competing priorities in the creation, retention and disposition of content

Editor's Notes

  • #13: As content is ingested into the Records Management and Archiving system, it is evaluated to determine if it matches classification criteria that can be based upon understanding of the content