TIBCO Data Science Review
January 15, 2018
TIBCO Data Science Review
Score 9 out of 10
Vetted Review
Verified User
Overall Satisfaction with TIBCO Data Science (including Team Studio and Statistica)
Used by the Supply Chain engineering team, mostly with regression and other methods to show relationships between cost and service parameters within Schneider Electric's (SE) supply chain. Frequently used to create rate formulas based on mileage, load type, region to fill in gaps for missing transportation lane data. Also frequently use 3-D graphs and other sophisticated graphics not available in Excel.
- The interface is screen based and much easier for teams of non-experts to use. Can, however, directly utilize in scripts and/or programming languages, so best of both worlds.
- Has an extensive range of statistical methods, as well as extensive statistics around those methods.
- The interface consistent across all modules.
- Unfortunately, some functionality is hidden per upgrade to other versions. Feel data mining functionality would be useful, but not budget for software. At the current price point, would have expected more (such as Mathematica breadth of functionality for one price).
- It is light on optimization capability.
- Slow when considering very large datasets, performing things such as distribution identification
- Impact is on distribution effectiveness, but Data Science is only a small piece of the puzzle.
Used Mathematica (not in the list), which has greater overall functionality (outside of statistics), but Data Science is much easier to use, especially for analysts with limited experience.