Wt	CLEM	STAT	IM	AM	KXEN
Price, Single-User		$50K	$15K	$15K	$50K	$20K
1. Data prep tools	8
Data exploration tools	2	5	10	6	5	4
Data cleaning tools	2	5	6	5	3	0
Data transf. tools	2	7	9	4	0	3
Data splitting tools	2	5	8	5	3	0
2. Algorithm Richness	12
Clustering methods	2	2	10	8	8	0
Neural nets	2	3	9	4	7	8
Regression methods	2	6	10	7	6
Classification methods	2	10	8	6	7	8
Time series	2	6	10	0	0
Other	2		10	0	0	10
3. Tunability of Algorithms	6
Parameter search?	2	7	0	0	8	8
Facilitation of boosting?	1	0	8	0	2	0
Facilitation of bagging?	1	0	7	0	1	0
4. Degree of Automation	6
Data preparation	2	2	2	2	2	10
Model building	2	3	3	2	8	10
Recoding/standardization	2	3	4	2	0	10
5. Scalability	4
Parallel support?	2	2	8	0	0	0
IDB capability for scoring?	2	0	10	0	0	0
6. Model Portability	6
C/C++	2	8	10	0	0	10
SQL	2	10	10	0	0
XML	1	0	10	0	0	10
PMML	1	0	10	0	0
7. Web Enablement	7	0	10	0	0	0
8. Stat. Functionality	5
Level of integration	2	1	9	5	0	0
Procedural or menus	3	3	10	10	10	0
9. Graphical/Reporting	8
Correlation matrix	2	0	9	9	6	0
Scatterplots/matrix	1	0	9	3	7	0
Line plots	2	8	9	0	7	0
Reports	1	8	5	0	5	0
Total graphics types	2	3	10	3	2	0
10. GUI Intuitiveness	10
Integration with DM proc.	2	8	8	2	8	7
East of building models	2	4	9	4	9	10
Help or wizards	2	5	5	4	5	5
Complexity of streams	2	7	9	7	0	0
Visual progr. capability	2	10	10	10	0	0
11. Expandability	3
Custom nodes	1	1	6	0	0	0
C-Program integration	1	0	8	0	0	0
Add Algorithms?	1	0	8	0	0	0
12. Scripting/Macros	4
Standard script lang.	1	6	10	0	7	0
Help/syntax examples	1	8	7	0	7	0
Operators/functions	1	9	9	0	9	0
Modeling and scoring	1	0	8	0	8	0
13. DM Process	6
Explicit in design	3	9	9	3	7	6
CRiSP/SEMMA, or ?	3	10	8	4	4	4
14. Data Preparation	7
Recoding	1	3	10	2	0	10
New variable derivation	2	8	10	5	8	10
Standardization	1	0	10	0	0	10
Dataset splitting	1	8	10	7	0	10
Aggregation capability	1	10	10	9	0	0
Temporal abstractions		0	10			10
15. Meta data Remapping		0	0	0	10	0
16. Model Eval./Reporting	8
Lift charts	2	0	8	7	8	10
KS statistic	1	0	0	0	0	0
RMS, MAE, etc.	1	0	7	0	0	7
Cross-validation	1	0	8	0	0	0
Variable sens. reports	1	8	8	6	8	10
Pred. accuracy reports	1	8	8	8	8	8
Confusion matrix	1	0	8	10	7	0
17. Data Import/Output	8
ASCII
Fixed	1	10	9	9	10	10
Free form	2	10	9	9	10	10
Choice of separators	1	10	9	9	10	10
Excel	1	5	9	9	10	0
Database struct.(ODBC)	1	7	9	9	10	8
Meta data capture	1	10	9	9	10	10
Date formats		10	7	5		10
18. Data Exploration	7
Missing value reports	1	8	9	9	10	8
Missing value imputation	2	6	9	0	9	7
Descriptive stat reports	2	4	10	5	0	1
Binning	1	0	7	8	0	0
Sampling	1	7	8	7	0	0
19. DM Project Mgt.	3
Project-level organization	1	1	5	1	8	1
Multiple modeling	1	8	9	8	0	8
Meta-modeling	1	6	9	5	0	8
20. Dimensionality Reduct.	8
CHAID	2	0	9	0	5	0
PCA	2	9	9	9	5	7
Correlation matrix	2	0	9	8	0	0
Other	2	0	10	0	0	0
	4
21. Drilldown	1	0	10	2	2	0
SQL/internal DB	1	0	8	0	0	0
SQL/external DB	1	2	8	7	0	8
Canned reports.	1	0	3	0	5	0
22. Client-Server capability	6	8	10	0	5	10
23. Product maturity	5	10	7	2	10	8
WEIGHTED TOTALS		641	1147	474	565	562