1. PolyAnalyst Data and Text Mining tool

2. Megaputer Intelligence
Knowledge discovery tools for business users
Easy-to-understand actionable results
Data Overload
Useful Knowledge

3. PolyAnalyst capabilities

4. Two types of PolyAnalyst users
Decision Maker
Interactive up-to-date reports
Data Analyst
Visual data analysis scenarios

5. Text Mining in Pharma Industry
Post-marketing:
Call Center and other VOC data analysis
Drug safety reports analysis
Doctor detailing notes analysis
Pre-clinical and clinical:
Research literature analysis
Clinical studies reports analysis
IP documents analysis
General
Survey analysis
Competitive intelligence
Compliance analysis

6. Visual creation of data analysis scenarios
Drag&Drop; Configure; Execute

7. Handled Data Sources Use ODBC and OLE DB protocols to connect to any
Popular databases (Oracle, MS SQL Server)
Statistical systems (SAS, SPSS)
Spreadsheets (MS Excel, Lotus)
Documents in a file system:
PDF, HTML, RTF, TXT, ZIP
PubMed
External Internet sources
RSS feeds
Visually integrate data from disparate data sources

8. External or user-built thesauri
PolyAnalyst Dictionary Manager supports and exploits standard medical thesauri:
MedDRA
MeSH
SNOMED CT

9. Dictionary Editor
The user can view and edit lists of synonyms and other semantic relationships

10. Pattern Definition Language
Facilitates defining patterns in terms of:
Proximity (N terms, sentences, paragraphs)
Sequence
Negations
Sentiment
Synonyms
Hierarchical thesaurus relations
Phonetics
Regular expressions
Morphology
Pattern Definition Language functions

11. Advanced search engine
Supports PDL-based searching

12. Sentiment Analysis
Reveals positive or negative tonality of text

13. Negation Detection
Detects when negation changes text meaning

14. Keyword extraction
Frequently encountered terms and phrases

15. Link Analysis
Correlations of terms on the document, paragraph or sentence level

16. Term cluster layout
Isolation of clusters of correlated terms

17. Document clustering - statistics
Distribution of documents by discovered clusters

18. Document clustering - results
Automatically discovers groups of similar documents

19. Document clustering - results
Shows distribution of automatically discovered topics

20. Taxonomy building
Hierarchical clustering helps build a tentative taxonomy the user can edit

21. Taxonomy categorization
Monitoring data for known issues of importance

22. Multi-dimensional analysis
Displays distribution of articles across multiple dimensions

23. Drill-down on text dimensions
Drill-down: Immune Diseases => Cytoxan => Globulin (3 cases)

24. OLAP matrix
Distribution of problems by product

25. Report Editor summarizes results
Add results of performed analysis on report canvas

26. Interactive Dashboard for executives
Decision makers see and manipulate up-to-date key results

27. Interactive Dashboard for executives
Drill down to specific issues

28. Interactive Dashboard for executives
View correlations between Drugs and Medical Conditions

29. Benefits Dramatic cost reduction
Increase in quality and speed of the analysis
Objective and uniform data-driven analysis
Discovery of even unexpected issues suggested by data
Automated monitoring of known problems
Timely discovery of newly developing issues
Utilization of 100% of available data: structured and text
Up-to-date reports for executives
Easy to use and maintain solution

30. Select Customers Government Insurance Financial High Tech
Pharmaceutical
Marketing
Manufacturing

31. 1600 W Bloomfield Road, Suite E
Contacting Megaputer
Call
(812) or
1600 W Bloomfield Road, Suite E
Bloomington, IN USA