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Introducing OpenText Auto-Classification

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Introducing OpenText Auto-Classification

OpenText Introduces the First Auto-Classification Solution with Built-in Transparency and Defensibility

This new offering delivers consistent, defensible classification of enterprise content including email, Social Media and legacy content without end-user intervention.

OpenText Introduces the First Auto-Classification Solution with Built-in Transparency and Defensibility

This new offering delivers consistent, defensible classification of enterprise content including email, Social Media and legacy content without end-user intervention.

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Introducing OpenText Auto-Classification

  1. 1. What if...
  2. 2. It is possible to... REDUCE Compliance Legal Risk Security eDiscovery Costs Responsiveness Storage Cost INCREASE
  3. 3. Using Records Management driven Archiving for responsible Retention, Disposition and Legal Hold
  4. 4. You don’t have to take our word for it...
  5. 5. 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
  6. 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
  7. 7. All you have do is...
  8. 8. Ask end-users to sort and identify business records and transitory content CLASSIFY CONTENT because classifying information drives retention and disposition
  9. 9. As if..!
  10. 10. 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
  11. 11. 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
  12. 12. 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
  13. 13. Can we trust the technology..?
  14. 14. 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
  15. 15. 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
  16. 16. Was Perfection Ever the Standard? Accuracy Buy-In Relative Accuracy 90% 50% 45% Human (reference) 60% - 90% 100% 60% - 90% Machine (challenger)
  17. 17. Auto-Classification can be part of our RM program
  18. 18. 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
  19. 19. OpenText Information Governance Solutions Striking a balance between competing priorities in the creation, retention and disposition of content

Hinweis der Redaktion

  • 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

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