View the slides from a live seminar presentation, with partners fme and Veri Solutions, on how organizations can utilize capture to meet compliance regulations and centralize document processes to improve customer experience. For more information on how compliance regulations can be met, download the white paper: http://www.adlibsoftware.com/widget/renderContent.aspx?asset={42673515-29E2-488C-9455-8AD1E75F18A0}

1. Capture. Compliance. Centralization.
How Advanced Rendering Delivers
Improved Customer Experience

2. Agenda
• Welcome & Introduction
• Panel Discussion
• Guest Speakers
• Veri Solutions
• fme
• Demo – Adlib
• Closing Remarks
• Madison Square Garden
• Basketball & Networking (Knicks vs Hawks)

3. How Advanced Rendering Delivers Improved Customer Experience
Introduction &
Overview

4. Enterprise Content Management
RFP/RFI
eDiscovery
project plans
order processing
FDA submissions product documents
annual reports
contracts
claims processing
pay stubs
HR/employee documents
online content
case processing records management
document archival
form processing
ECM PLM ERP SCM EMAIL WEB BPA
Document Dependence
with a variety of systems, processes and file formats

5. Cross-
Industry
• Sarbanes-Oxley
• Governance
• Basel II
• US Patriot Act • DOMEA (German)
• BSI (UK)
• ISO 15489, 23081
• ANSI
• Marketing/Brand
• Legal
• Admin
• HR
Industry-
Specific
• Financial Services
• Basel II
• SEC
• SOX
• Public Sector
• FOIA/ATIP
• GPEA
• NARA/LAC
• Healthcare
• HIPAA
• PIPEDA
• Life Science
• eCTD
• eTMF
• 21CFR11
Compliance is Everywhere
Broad Based Norms
Industry Regulated
Organizationally Mandated

6. The ‘Not-So-Standard’, PDF Standard

7. Evolution Of Rendering
Shareware /
Freeware
Basic
rendering:
Consumer
Desktop
Products
Basic
rendering:
Embedded
System
Features
Advanced
Rendering

8. Defining Advanced Rendering:
“PDF-ing” at the next level
with features like:
• Accuracy/High Fidelity
• Automated, Metadata-rules driven,
document conversion/assembly
• Enhancements (Table of Contents,
Headers/Footers & Watermarks)
• Internal navigations: Bookmarks,
Hyperlinks, ToC, Pagination
• Documents Searchability (OCR)
• Multiple input support – 400+ file
types, ECM integration
• Multiple output support – PDF,
PDF/A, tiff, Thumbnails
Enterprise-Grade architecture
providing:
• Massive Scalability
• Centralized management control
• High Availability
• Fault Tolerance
• Load Balancing

10. Scan-to-Archive vs. Capture-to-Process
I
NGE
STI
O
N
Di
gesti
o
n

11. Advanced Rendering as a Shared Service

12. Adlib Helps Meet Your PDF Requirements
Across the Enterprise with a single solution
• To automatically convert, OCR & assemble your
content
• Highest fidelity on the market
• Highest accuracy in OCR
• Regulatory Compliant and secure
• Supports PDF/A for archival
• Search-enabled documents
• Integrates with business tools
• High volume performance

13. How Advanced Rendering Delivers Improved Customer Experience
Panel Discussion
Capture. Compliance. Centralization.

14. Panel Question
What are the top content
challenges organizations face
today?

15. Panel Question
What are customers’ content
expectations?

16. Panel Question
How does content
management relate to risk?

17. Panel Question
What does ‘Compliance’ for
content mean in 2015?

18. Panel Question
What are the Best Practices to
ensure document compliance
within ECM?

19. Panel Question
What can organizations do to
address unstructured content?

20. Panel Question
What challenges do Finance
organizations face related to
content capture?

21. Panel Question
How centralized are content
strategies in most organizations?

22. Panel Question
What’s the value of a System
Integrators in achieving an ECM
vision in 2015?

23. Customer Discussion
What has been the biggest content
management ‘win’ in the last 5
years?

24. Panel Discussion
What should organizations do
next/now?

25. Summary
Current Situation
Major Risks/Opportunities
Next Steps

26. How Advanced Rendering Delivers Improved Customer Experience
Guest Speaker:
Frank D'Entrone
Director fme US, LLC
fme

27. The Case for Repository Consolidation
fme US, LLC, Frank D’Entrone, November 10, 2014

28. fme AG – Copyright-Information
Copyright Notice:
The information contained in this
presentation is subject to copyright by fme
US, LLC and must not be copied, passed to
third parties or used in any other than its
intended way without prior written consent
by fme.
fme US, LLC
108 Mill Plain Road
Danbury, CT 06811
United States
Tel: (203) 617-4250
Fax: (203)702-5218
Mail: info@fme.de
Web: www.fme-us.com
28 fme US, LLC, Frank D‘Entrone, © fme US, LLC

29. The Issue
• Companies produce high volume of
documentation
• This makes the management of
unstructured information imperative
• But the information is often spread
around the organization:
 in different IT locations and solutions
 in some cases no Document
Management System
 applying different or old technologies
29 fme US, LLC, Frank D‘Entrone, © fme US, LLC

30. The Reality
• Terabytes of legacy content in diverse
out-of-date systems:
 cost millions annually to maintain
 finding anything is time consuming and
not always successful
 thereby increasing the legal exposure
substantially
• Records Management Policies have not
been implemented
• Compliance is at risk
• Knowledge Management remains illusive
30 fme US, LLC, Frank D‘Entrone, © fme US, LLC

31. The Pain
• Enterprise wide sufferance resulting from
maintaining diverse systems and information
locations for unstructured data (content):
 Insufficient access to information
 Maintenance efforts and costs
 Quality and compliance risks
 No centralized governance
31 fme US, LLC, Frank D‘Entrone, © fme US, LLC

32. The Vision
• Creating a more effective document
management capability by:
 Standardizing on a technology platform
 Consolidating on a shared, common
repository with common metadata
 Think Enterprise
 Eliminating redundant capabilities and
reducing cost
 Implementing essential Records
Management and optimized compliance
practices
32 fme US, LLC, Frank D‘Entrone, © fme US, LLC

33. The Implementation Strategy
• The Source Repositories are often
unstructured:
 Inconsistent structures
 Poorly respected naming conventions
 No or inconsistent meta-data
(Attributes)
 Duplication
 Limited to no version control
• Simply moving this to a new ECM
System brings no benefit !!!
 Garbage in Garbage out
 May actually worsen the situation
• The correct Strategy:
 A rational Storage and Attribute
Structure needs to be designed
 Documents must be correctly
classified and mapped
33 fme US, LLC, Frank D‘Entrone, © fme US, LLC

34. The Implementation – Analysis and Plan
• Creating a Concept for a common
target repository:
• Defining a Unified Metadata Model
• Taxonomy and Naming conventions
• Common Security and Access
Policies
• Records Management Policies and
Retention cycles
• Migration Analysis and Planning
 Analyzing and evaluating existing
data sources against the new model
• Analyze legacy repositories and
technology
• Data volume and its implication
• Data types and its implications (large
files, etc)
• Availability and quality of legacy meta
data
• how to extract legacy objects and
meta data
• What to do about application specifics
(existing workflows, user interface,
etc)
 Defining the migration strategy and
logistics
• How to handle the volume (hardware
needs)
• How to cause minimum disruptions to
end users
• Managing locations, responsibilities
• Staff and skill requirements
 Project planning and cost estimates
34 fme US, LLC, Frank D‘Entrone, © fme US, LLC

35. The Implementation - Execution
• Setting up the target repository
 Basic structure, Document Types,
Attributes, Permissible
 Retention Policies, Life Cycles, Workflows
• Effect any special adaptations:
 Extraction of certain sources
 Special processing rules
 Application set up (user interface,
workflows, etc)
• Creating migration batches and defining
mapping rules
 Eliminating duplicates
 Defining mapping rules for legacy metadata
 Testing rules
• Executing the content migration Batch by
Batch
• Implement Change Management Activities
• Going live with the common repository
35 fme US, LLC, Frank D‘Entrone, © fme US, LLC

36. The Bottom Line
• What are the benefits of a consolidated repository
environment?
 Meeting the needs of the business:
• Quality, accessibility and security of information
• Easier access to enterprise knowledge
• Common metadata model
• Reduced process and project delays
 Records Management and Compliance
• Improved ability to defend records as reliable and authentic
• Reduced compliance risks
• Centralized governance
 IT Efficiencies and Savings
• Harmonized technology platform
• Technology/Platform Subject matter experts (SME)
• Reduced maintenance support and costs
36 fme US, LLC, Frank D‘Entrone, © fme US, LLC

37. The Right Tools for the Job
• Classifying and Mapping Documents is complex
and time consuming
• How to extract sufficient information for the creation of
Meta Data
• Moving and linking documents into the right folders
• Assigning correct attributes
• Assigning Access Rights (ACLs)
• Most Migration Tools do this poorly !
• Insufficient Focus on Data Analysis and Mapping
Support
• Resulting in Excessive Migration Costs
• Extensive manual Effort required
• Extra Programming and Debugging Effort required
37 fme US, LLC, Frank D‘Entrone, © fme US, LLC

38. fme’s migration-center
• Out-of-the-Box Software Solution for any type of Migration Project
 Rich Functionality, no extra Programming or debugging Effort,
 Excellent user und admin interface
 Standardized migration of file systems and ECM repositories
• Intelligent, rule-based mapping of Objects to Target System
 Extraction of Meta Data from Source system where available
 Rule-based mapping through:
• Automatic assignment of Target Folder Structure, Attribute model, Access
Rights
• A variety of Value Lists, Algorithms and Commands for different datasets
• Dynamic testing of Mapping Rules before committing them (simulation)
• Validation of metadata before import
 Optional, but powerful End-User Client for handling exceptions or
personal documents
• Fast Object Load into ECM Repository
 Including full audit capability for sensitive environments
38 fme US, LLC, Frank D‘Entrone, © fme US, LLC

39. migration-center for EMC InfoArchive
migration-center is perfectly suited to separate static but valuable content from
active content no matter which source and target systems are involved.
39 fme US, LLC, Frank D‘Entrone, © fme US, LLC

40. Application Archiving (Live Archiving)
The product lets you define a wide range of
selection criteria for separating your inactive
from active data and migrate/archive these
inactive data to EMC InfoArchive.
On Premise Applications
(Unstructured/Structured Data)
Data Volume
Performance
Backup Costs
Storage
On/Off Premise
Applications
(Unstructured/Structured Data)
Data Volume
Performance
Backup Cost
Storage
EMC InfoArchive
Unstructured/Structured Inactive
Records
inactive
content
40 fme US, LLC, Frank D‘Entrone, © fme US, LLC

41. Application Decommissioning
migration-center supports multiple platforms
and therefore it is the product of choice for
legacy application decommissioning.
On Premise Applications
(Unstructured/Structured Data)
Data Volume
Complexity
Backup Costs
Storage
Maintenance Cost
On/Off Premise
Applications
(Unstructured/Structured Data)
Data Volume
Complexity
Backup Cost
Storage
Maintenance Cost
Enterprise Archive
Unstructured/Structured Inactive
Records
inactive
content
41 fme US, LLC, Frank D‘Entrone, © fme US, LLC

42. Migration, archive and/or decommission at
once!
Legacy applications can be decommissioned
by migrating the active content to an new
ECM system and archiving inactive content
to EMC InfoArchive.
On Premise Applications
(Unstructured/Structured Data)
Data Volume
Performance
Complexity
Backup Costs
Storage
Maintenance Cost
On/Off Premise
Applications
(Unstructured/Structured Data)
Data Volume
Performance
Complexity
Backup Cost
Storage
Maintenance Cost
EMC InfoArchive
Unstructured/Structured Inactive
Records
Migrate
active content
Archive
Inactive content
42 fme US, LLC, Frank D‘Entrone, © fme US, LLC

43. Feb-8-2008

44. How Advanced Rendering Delivers Improved Customer Experience
Guest Speaker:
Richard E Davis
Managing Partner
Veri Solutions

45. Solutions & Services Delivery to Address Client Challenges Across Industry Sectors
Litigation
e-Discovery
Regulatory
compliance
Internal
investigations
Global
records
management
M & A
activity
Business
intelligence
Storage
optimization
Global
information
security
Information Governance:
• Records Information Management (RIM).
• Proactive Data Classification for Data Remediation
• Electronic and Physical Records De-Duplication
• Information Security and Compliance
• Complex Relational Database Consolidation
E-Discovery:
• Auditing of Data
• Organization, Management, Search, and
Production of Data
• Proactive Litigation Readiness
• M&A Due Diligence
• Legal Hold Management
Professional Services:
• Document Review
• Project Management.
• Turnkey Delivery.
• Workflow Consulting
• Technology Training
• Contingent Subject Matter Expertise (SME)
• Staffing for GRC, E-Discovery

46. Modular Legal Data Lifecycle Management* - Leadership in e-Discovery
Requirements of the process:
• Scalable.
• Defensible.
• Repeatable.
• Cost effective.
• Minimal operational impact.
• Part of a broader institutional
information governance strategy.
Phase 1 Phase 2 Phase 3
Phase 6 Phase 5 Phase 4
Phase 7 Phase 8 Phase 9
Phase 11 Phase 10
Triggering
Event
Litigation
M&A
Compliance
Earlier version of this workflow appears in *Managing e-
Discovery & ESI: from Pre-Litigation through Trial (Co-authored
3 chapters) – American Bar Association
Treatise: ISBN - 9781616329730 (pbk.), 1616329734
(pbk.) – 11/11

47. Modular Legal Data Lifecycle Management* - Data Capture in the Enterprise
IT Information
Legal RIM Security Sales &
R & D Marketing
RIM Internal
Discovery Auditing Investigations Data Mining /
MDM
Structured Unstructured Semi- Active Media
Structured
Regional &
Business
Driven Policy
Infrastructure
Complexity
Geographically
Disparate
Sources
Operational
Requirements
FACTA
(US)
GLBA
(US)
PIPL
(Japan)
DIRECTIVE
95/46
(EU)
DPA 1998
(UK)
Dodd Frank
(US)
Stakeholder Beneficiaries
(Functions & “The Business”)
Interdependent
Data Classification Initiatives
(SIC / NAICS driven)
Legal Control of Enterprise
Data (on-line / offline)
Environmental Considerations
Non-discretionary / discretionary
Regulatory Frameworks(SIC /
NAICS driven)
PIPED
(Can)

48. Phase I Phase II
• Data is collected in a forensically
48
sound fashion.
• File hashing is done for chain of
custody purposes.
• Data is stored in a databases.
The Veri Data Visibility Process
• Data is ingested into
the process and
additional hashing is
done, hash is saved in
a DB.
• Hash from collection
could also be
ingested.

49. 49
• We use a number
of algorithms to do
text comparison
which text
similarity
clustering, an
innovative way to
manage duplicates
across file types.
• Document version
control and
management can
be enabled using
this technique.
• Classification of the
data within the
parameters of any
information
governance initiative
leads to success.
The Veri Data Visibility Process
Phase III Phase IV

50. How Advanced Rendering Delivers Improved Customer Experience
Adlib Technical Strategists:
Joe Biernacki
Jon Halbert

51. Dark Unstructured Data

52. $3.3 trillion
How much of this credit risk is in your derivative contracts?

53. Adlib and our partners deliver
solutions that can automatically
extract unstructured data from ISDA
derivative swap contracts. This data
is extremely valuable to you from
both a compliance perspective and
the ability to easily identify potential
areas of risk.
With Adlib Software extracting this
data, organizations can conduct a
quantitative analysis along with
balance sheet evaluations, access to
timely and accurate data and more…

54. Think about how you review hundreds or thousands of ISDA contracts.
risk of not knowing?!
error prone?
inefficient?
is it costly?

55. There Is A Solution
To Your Problem

56. Your ISDA Contract
Repository
Solution
+ + =
ADLIB
Reports
Extraction & Analysis
Proactive Contract
Management
Now you can action on the credit risks in your derivative contracts.

57. Recognize
Unstructured
ISDA Data
How does it work?
Searches & Analyzes Contracts, Create
Structured ISDA Data
Fully Automated
On Demand Analysis
EXPORTS TO EXCEL

58. Adlib technology can be applied to any
contracts to solve the challenges of
extracting data/risk information.

59. Classification Flow
Hash DeDuplication
Text DeDuplication
Image
DeDup
• Classification & Attribution

60. Deduplication Flow
Hash DeDuplication
• Generate hash value of file content
• Analyzes hash values
• Duplicates identified & removed

61. Deduplication Flow
Text DeDuplication
• Compares text (natively)
• OCR Image only content
• Duplicates identified & removed (threshold)

62. Deduplication Flow
Image
DeDup • Pixel by pixel comparison
• Duplicates identified & removed
(threshold)

63. Classification Flow
Hash DeDuplication
Text DeDuplication
Image
DeDup
• Classification & Attribution

64. Benefits & Potential Use Cases
Content Migration
• Automate classification of content from other locations to current system of record
• Create data dictionary to enable ongoing automated classification for content
ingestion
Repository Cleanup
• Remove duplicate content from current system of record
• Prevent duplicates from being continually ingested into the system of record
Contract Management
• Enable analysts to easily find critical data on ISDA contracts
• Use the data to make critical decisions on SWAP contracts
• Save final (executed) agreements and remove all preceding versions
Revision History
• Automatic grouping of document revisions based on document similarity

65. How Advanced Rendering Delivers Improved Customer Experience
Demo

66. How Advanced Rendering Delivers Improved Customer Experience
PDF Therapy

67. PDF Therapy:
A Structured Approach to Explore Your Organizations’ Content Delivery
Needs
• PDF Therapy is ideal if your
organization:
o Has multiple functional groups with
unique demands or isolated solutions
o Has large volumes or diverse
document
o Needs to improve/automate the
delivery of high-value content
o Requires automated archiving or
enhancement
o Is challenged with
capture/classification projects
Discovery
Discussion
Delivery

68. The 4 buckets of rendering 2
pain
Too many
solutions
Performance
Consistency Fidelity

69. Things we’ve learned …
1. Rendering vendor consolidation is a high priority
2. Performance of Rendition Servers is a key issue
3. Fidelity
4. Email Rendering is a growing request
5. Metadata, metadata, metadata
6. Upgrades to newer version of advanced rendering
software need to be less painful
7. True High Availability and Fault Tolerant setup in a
virtualized environment
8. Cloud is on everyone’s mind
9. Electronic Document Capture
10. Redaction

70. Questions....

71. APPENDIX

72. Too Ma4n yB Reundcerkineg ts of Rendering Pain
Solutions
Many firms have several solutions for different
projects.
The IT department is stuck servicing all of them.
Departmental Implementations with old file
formats add to the complexity and variety of
implementations.
A shared service that renders and
publishes across all departments in
your entire organization resolves
those issues.

73. 4 Buckets of ReConnsdisetenrciyn ogf O Putpautin
When different engines of disparate solutions
are creating PDFs, the results will be different
PDFs from every engine.
Different systems can’t support all input file
formats, nor do they provide one output.
Your rendering and publishing will
only be uniform when using a single
system that accepts inputs from all
file types and outputs the correct PDF
standard – every time.

74. Outpu4t F idBeliutyckets of Rendering Pain
You want renditions to look exactly like source
documents.
You have to trust that your output complies with
regulatory standards
That involves a consistent method of
checking and auditing how output
fidelity meets a written standard…
especially when rendering very old
file formats.

75. Performance
A rendering and publishing solution must:
- Keep up with peak requests,
- monitor conversion
- report on hiccups and crashes
- Act on job incompletion
You’ll know your conversion process
is reliable when it allows you to track
how well your server farms are
running at any given point – per hour,
day, or month – to determine if you’re
meeting SLAs.