Here is the software matrix that I am trying to develop for analytical software- It should help as a tentative guide for software purchases- it’s independent so unbiased (hopefully)- and it will try and bring as much range or sensitivity as possible. The list (rather than matrix) is of the format-
Type 0f analysis-
- Data Visualization (Reporting with Pivot Ability to aggregate, disaggregate)
- Reporting without Pivot Ability
- Regression -Logistic Regression for Propensity or Risk Models
- Regression- Linear for Pricing Models
- Hypothesis Testing
- A/B Scenario Testing
- Decision Trees (CART, CHAID)
- Time Series Forecasting
- Association Analysis
- Factor Analysis
- Survey (Questionnaires)
- Clustering
- Segmentation
- Data Manipulation
Dataset Size-
- small dataset (upto X mb)
- big dataset (upto Y gb)
- enterprise class production BigData datasets (no limit)
Pricing of Software that can be used-
- Open Source (free)
- Open Source (subscription based)
- Software as a Service (Rentable)
- Enterprise Software (moderate pricing)
- Enterprise Software (premium pricing)
Ease of using Software
- GUI vs Non GUI
- Software that require not much extensive training
- Software that require extensive training
Installation, Customization, Maintainability (or Support) for Software
- Installation Dependencies- Size- Hardware (costs and efficiencies)
- Customization provided for specific use
- Support Channels (including approximate Turn Around Time)
Software
- Software I have used personally
- SAS (Base, Stat,Enterprise,Connect,ETS) WPS KXEN SPSS (Base,Trends),Revolution R,R,Rapid Miner,Knime,JMP,SQL SERVER,Rattle, R Commander,Deducer
- Software I know by reputation- SAS Enterprise Miner etc etc
Are there any other parameters for judging software? let me know at http://twitter.com/decisionstats
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