TIBCO Data Science (including Team Studio and Statistica)

Statistica is excellent for EDA (Exploratory Data Analysis); handling new data or ongoing data streams; mapping out a complex stream of data processing (using a workspace); and providing fast reliable results.

TIBCO Data Science is world-class at building exploratory analyses and for creative analytical tasks. The software does these two things quite well. On the other hand, TIBCO Data Science is not well suited for creating real-time advanced analytical models that are used in a production environment. Other open-source models work better for such productions.

It is well suited if you have large data sets to work on. It helps reports by caching the data so the consumers won't face any delay in opening the report. It also has the ability to use regression models to do predictive analysis, which makes Data Science unique from all other reporting tools.

Well suited for:

• Research
• Pharmaceutical
• Banking and Credit & Risk
• Logistics, Oil & Gas
• Pulp & Paper
• Government
• Manufacturing
• Health
• Chemical and Metal industries

Not so much for the auto-parts industry.

If you have an analytics department, Data Science is perfect for making analyses quicker. Data Science works well for web querying, automating analyses, sharing advanced analyses with others, and performing lots of other advanced analytical processes. Data Science is not a good fit if the analytics you do is stuff that Excel can do. The software is powerful, with lots of features, and unless you actually plan on using those features, it's not worth paying for.

It's well suited for companies who are working long-distance and who have lots of data to organize and present. My company does extensive field work collecting thousands of data points at a time, in many cases, so this is an excellent way to share data collected in the field with those still in the office so that reports can begin before our travels are really finished. It makes the office much more productive!
TIBCO Data Science is less suited for companies with older employees or companies that are generally in one office and not doing distance work. It can be a little tricky for older people to grasp the interface and really utilize the program to its full potential so of course spending more time learning the software than using it effectively isn't a great use of time or money.

It is great for working in groups on large projects. I like how you can further organize users into ranks and groupings, which is much more powerful than most other programs. I also like that the userface is very collaborative, which allows greater success in data management. It is a little clunky for small projects or where only a few people are concerned.

If you want to try machine learning methods with flexibility of what-if data prep this works well.

Data Science is a versatile software program that is well suited for many applications. It is easy to use, and can process simple algorithms like linear regression models, to more powerful computations.

+ : Desktop fast & friendly tool
- : No 'last implementation' of new stats tests recently peer reviewed : Not really the first tool to use in our research context.

If you are dealing with large datasets this product will be helpful. It will save you time and produce quicker results.

Well suited for regression & related analyses, but lacking on general analytical & simulation functionality. Need to utilize multiple tools.

Data exploration, predictive model development, rapid deployment, enterprise deployment

It is good for exploring data and producing a large number of similar analyses for groups of stations and parameters. It is also helpful for projects that produce similar graphics each year with just minor data updates because the graphs can be rerun with minimal clicking. It does not work as well for specialized analyses and transparency of certain choices in the parameters that are being chosen in the background.

Drag and drop almost everything. The recommendations feature is awesome and actually builds the visualizations for you, unlike some of the competitors.

It is very good for large piles of data that can be processed at one time and to make nice looking graphs for presentations.