Boot slides xxl

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Supporting Slides for OpenText Enterprise World Booth

Transcript of Boot slides xxl

Value Proposition

Content Server

TCP, IDM, VRD, C

360, P360, …

SharePoint

Collect documents from

various sources ….

… classify

them, extract data

… and feed them into

business applications

Automatically with OCR, ICR, IDR

Transform Pixels into

Actionable Information

Use Cases

Slide 3

Make

Money

Save

Money

Qualified

Electronic

Document

Enable

Digital

Workflow

Document

and Data

Capture

Reduce

Manual

Keying Enable

Process

Auto-

mation

Digital Mail Room

Scanning Documents

into Electronic Files

Backfile Conversion

Transaction and Process

Management

Service Centers

Ad-Hoc capturing

Copyright © Open Text Corporation. All rights reserved.

Overview Components of OCC

IM EX

Fax, Email,

FTP site,

Network Folder

SharePoint

Enterprise Scan

Client

Business

Application

Archive

ConfigurationMonitoring

Dispatch

ValidationRecognition

Open Text Capture Center

Copyright © Open Text Corporation. All rights reserved.

Recognition: Different Document Types

Structured

Documents

> Forms

Semi-Structrured

Documents

> B2B Correspondence

Unstructured

Documents

> C2B Correspondence

Data is in logical

groups but positions

are unknown.

Data may be

anywhere in the

document.

Data at fixed

positions

Copyright © Open Text Corporation. All rights reserved.

Steps in Document Recognition

Slide 6Copyright © Open Text Corporation. All rights reserved.

Separation: Splitting a batch of images into individual (multi-page) documents

Classification: Identification of document type

„Invoice”

„Delivery Note“

„Order“

„Others“

Extraction: Searching for basic information on the document

Date: Jan 21. 2012

Amount: 332,29 $

Order-Nr: X-44277

Supplier: Mueller & FriendsInvoice

Interpretation: Enhancing of extracted data with context information

21012012

332.29 USD

X-44277

K441258-3

Date: Jan 21. 2012

Amount: 332,29 $

Order-Nr: X-44277

Supplier: Mueller & Friends

Free Forms Extraction

Normalize

“10/24/10”

Format (US)

Day = 24

Month = Oct

Year = 2010

24.10.2010

Decompose string into

subunits and re-format as

required

Verify

Check against business

and plausibility rules

Valid

period

?

24.10.2010

yes no

ExportManual

keying

Analyze

Date

Word

Number

Find meaningful entities

and tag them

Turn pixels into

characters w/ optical

character recognition

OCR

CLERK: 12

DATE SHIPPED

ORDER DATE

10/30/02

10/24/02

COVER CODE

PA

3

Extract

Order_Date = “10/24/10”

Find the correct date

among all detected

alternatives

Copyright © Open Text Corporation. All rights reserved.

Long Term Effect of Free Forms TechniquesOCC Approach

Free Form

Recognition

Adaptive

(=learning)

technology

Combining

Free Forms

and adaptive

Form

(template)

based

Recognition

Increase of recognition rate during production time

Copyright © Open Text Corporation. All rights reserved.

Invoice Data Extraction

Supplier

Invoice Number

Line items

Net Amount

Total amount

Invoice Date

Order number

Currency

Delivery note

Copyright © Open Text Corporation. All rights reserved.

Supported Countries in Knowledge Base

Germany

United States

Austria

AustraliaBelgium

Bulgaria*

Denmark

Finland

France

United Kingdom

Italy

Canada

Netherlands

Norway

Portugal

Romania*Sweden

Switzerland

Singapore Slovakia*

SloveniaSpain

Czech Republic

Hungary

Poland

* Header data only

Russia

New Zealand

Purchase Order Processing with OCC

11

Capture Center

Enterprise

Scan

Reco-

gnitionValidation Case360

Tempo

Rendition

Sever

Content

Sever

Knowledge BaseMaster Data

Web form

OCC – Your Benefit

Copyright © Open Text Corporation. All rights reserved.

QImprove Information Quality Improving information sharing

Leveraging a common set of business rules

Reducing errors

$Reduce Operating Costs Automating manual tasks

Deploying a single input management platform

Reducing paper filing/storage

Accelerate Business ProcessesShortening cycle times

Reducing exception processing

Enhancing customer relationships

Improving knowledge worker productivity

ComplianceEnsuring compliance / auditability

Improving visibility into business processes

Improving litigation preparedness

§§