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By the Numbers: Making the Case for Reuse Joan Lasselle and Amber Swope

By the Numbers: Making the Case for Reuse Based on Facts with Joan Lasselle and Amber Swope

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Page 1: By the Numbers: Making the Case for Reuse Based on Facts with Joan Lasselle and Amber Swope

By the Numbers: Making the Case for Reuse

Joan Lasselle and Amber Swope

Page 2: By the Numbers: Making the Case for Reuse Based on Facts with Joan Lasselle and Amber Swope

Introductions

• Joan Lasselle is the President of Lasselle-Ramsay, Inc.

• Amber Swope is a DITA Specialist at DITA Strategies, Inc.

Page 3: By the Numbers: Making the Case for Reuse Based on Facts with Joan Lasselle and Amber Swope

What success looks like

Page 4: By the Numbers: Making the Case for Reuse Based on Facts with Joan Lasselle and Amber Swope

Content confusion

Page 5: By the Numbers: Making the Case for Reuse Based on Facts with Joan Lasselle and Amber Swope

Address confusion

• Inconsistency

• Lack of appropriate access

• Readers can’t find the information they need

Page 6: By the Numbers: Making the Case for Reuse Based on Facts with Joan Lasselle and Amber Swope

Quantifying the reuse opportunity

Observation

Comparison

Analysis

Page 7: By the Numbers: Making the Case for Reuse Based on Facts with Joan Lasselle and Amber Swope

Observation

Page 8: By the Numbers: Making the Case for Reuse Based on Facts with Joan Lasselle and Amber Swope

Directed observation

Page 9: By the Numbers: Making the Case for Reuse Based on Facts with Joan Lasselle and Amber Swope

Comparison & analysis

Page 10: By the Numbers: Making the Case for Reuse Based on Facts with Joan Lasselle and Amber Swope

How we do it

This is the first example string

This is the fifth example string

• 3 characters would have to change to make them the same

• 32 characters in longest string• Matching score = (39-3)/39 = 91% match

Page 11: By the Numbers: Making the Case for Reuse Based on Facts with Joan Lasselle and Amber Swope

Example

• Text strings are then assigned to clusters based on the matching score.

• The higher the matching score, the more likely to obtain reuse, and the greater business impact

Page 12: By the Numbers: Making the Case for Reuse Based on Facts with Joan Lasselle and Amber Swope

Sample data

Page 13: By the Numbers: Making the Case for Reuse Based on Facts with Joan Lasselle and Amber Swope

Lots of data

Page 14: By the Numbers: Making the Case for Reuse Based on Facts with Joan Lasselle and Amber Swope

Matching content

Page 15: By the Numbers: Making the Case for Reuse Based on Facts with Joan Lasselle and Amber Swope

Quantified opportunity

Page 16: By the Numbers: Making the Case for Reuse Based on Facts with Joan Lasselle and Amber Swope

Types of reuse

① Programmatic reuse

② Template reuse

③ Variable reuse

④ Content repurposing

Page 17: By the Numbers: Making the Case for Reuse Based on Facts with Joan Lasselle and Amber Swope

What do the numbers say?

• For you/your team• Initial baseline• Measurement tool• Play what if? (different analytical

views)• Run it over and over again

Page 18: By the Numbers: Making the Case for Reuse Based on Facts with Joan Lasselle and Amber Swope

Example

Page 19: By the Numbers: Making the Case for Reuse Based on Facts with Joan Lasselle and Amber Swope

Building your business case

• Content• Process• Tools

Page 20: By the Numbers: Making the Case for Reuse Based on Facts with Joan Lasselle and Amber Swope

Summary Q&A

• Automated comparison with analysis is the key to knowing your reuse potential

• Get the numbers BEFORE you start your project

Page 21: By the Numbers: Making the Case for Reuse Based on Facts with Joan Lasselle and Amber Swope

Questions

Joan [email protected]

Amber SwopeDITA [email protected]