This document discusses opportunities for using big data text analytics at Oxfam. It outlines how text analytics can leverage Oxfam's collective wisdom by accelerating discovery of pre-existing knowledge within internal documents. It also explores how text analytics could study Oxfam's behavior as an organization. The document recommends focusing on high-value opportunities, starting with important questions rather than data, and running short, inexpensive experiments to test potential uses of text analytics.

1. ASSESSING BIG DATA TEXT ANALYTICS OPPORTUNITIES FOR
OXFAM

2. A brief history
1

3. Presentation outline
• Big data – why now?
• Developments in D4D
• Why text analytics?
• Opportunities
– Leveraging Oxfam’s collective wisdom
– Studying Oxfam’s behaviour as an organization
• Recommendations
2

4. 3
Big data - why now?
Data-
driven
decision
making

5. Developments in D4D
4

6. • 80+% of data in government is unstructured, human language
• But this data is full of insight
5
Why text analytics?

7. Why do people not use institutional knowledge?
• Unique contribution
• Difficulty accessing relevant information
6
Leveraging Oxfam’s collective wisdom

8. 7
Accelerated discovery of pre-existing knowledge

9. A valuable exercise, currently, made difficult by:
• The scope of the work
• Limited resources
8
Studying Oxfam’s behaviour as an organization

10. 9
Studying Oxfam’s behaviour as an organization

11. • Focus on the highest value opportunities
• Start with questions, not data
• Run short, inexpensive experiments
10
Recommendations

12. THANK YOU
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