khemeia tdw live presentation nov16

1

Generating value from your legacy content – you are not aloneTDW Live – Nov 16 2016

Content Transformation Software: Khemeia™

Maria ShiaoVP Business DevelopmentStelae Technologies

2

Big Data and its myths…

21/11/2016 Stelae Technologies – TDW Live 2

3

Paper = unstructuredDigital ≠ structured

Also … unstructured ≠ old

• Reusable• Searchable• Compliant

• Industry/RegulatoryStandards

• Internal data and meta data standard – enables big data analytics21/11/2016 Stelae Technologies – TDW Live 3

4

What’s happening in other industries…

LegalLegislationRegulation

FinancialAccountingRiskCompliance

Publishing

Scale and automationStandardizationSkills optimizationEnterprise-wide insights (faster, better)Managing compliance and risk


5

What makes unstructured data valuable?


6

The value chain of (unstructured) data

StructuredContent(20%)

UnstructuredContent (80%)

Unified Standardised

Structured Content

Management Search

Analytics

ManagementEnd Users(devices,

mobile, AR)


7

What are the options today?

Input: PDF Word Text

OCR Scans

Output: XML DITA S1000D XBRL/iXBRL html

Outsourcing or semi-automated scripts• Cost• Speed• Quality• Bias

Text and semantic meta-tagging• Size of dictionaries• Visual structures• Language• Bias


8

Typical Editor-based Transformation Workflow

Source Documents: Multi Format searchable PDF/ Word

Create DM Ref

OCR images

Start Workflow

Glossary of s1000D tags

Manual copy paste from text into s1000D editor

Extract images from PDF –TIFF/JPEG

Bring it together into s1000D editor

Draft and Quality Check/ Approval

Publish Final Copy

End


9

Challenges

TIME

TRAINING ON EDITOR

TRAINING ON TAGS – PROCEDURES, DESCRIPTIVE, IPC …

COPY PASTE OPERATION

SKILL

KNOWLEDGE OF S1000D

HIGH COST DUE TO

TRAINED RESOURCES

IN-ABILITY TO SCALE

PRODUCTIVITY CONSTRAINTS

TIME FOR RESOURCE RAMP-UP


10

Khemeia based Transformation Workflow

Source Documents: Multi Format searchable PDF/ Word

Create DM Ref

OCR images

Start Workflow

Glossary of s1000D tags

Manual copy paste from text into s1000D editor

Extract images from PDF –TIFF/JPEG

Bring it together into s1000D editor

Draft and Quality Check/ Approval

Publisher of Editor

End

Import to CSDB/ Publisher


11

Easy Conversion with Khemeia™

Minimal Change Management

Drag file

Drop file

Hot Folder Configurations

identify Document Type and Layout

Identify tables and content layout

Uses Glossary to Tag words

Automatable to directly drop into the folders

Feedback to existing process


12

Khemeia overcomes Challenges

TIME

TRAINING ON EDITOR

TRAINING ON TAGS – PROCEDURES, DESCRIPTIVE, IPC …

COPY PASTE OPERATION

SKILL

EVERY OPERATOR DOES

NOT NEED KNOWLEDGE OF

S1000D

HIGH COST DUE TO

TRAINED RESOURCES

IN-ABILITY TO SCALE

PRODUCTIVITY CONSTRAINTS

TIME FOR RESOURCE

RAMP-UP


13

Conclusions

Unstructured legacy data has value Why

Which data/meta-data sets have the most relevance and impact downstream

This value has to be extracted upfront Direct cost

Operational, lifecycle cost

Time

Technology is available to largely automate the process Proven in other industries

Significant early adopters in the A&D sector


14

Q&AThank You!

Contact:Maria Shiao, VP Business Development+44 7779 77 89 [email protected]@mariashiao

www.stelae-technologies.com@stelaetech