Spotfire Data ScienceFormerly TIBCO Data Science with Team Studio and Statistica
Overview
What is Spotfire Data Science?
Spotfire Data Science (formerly TIBCO Data Science) is a comprehensive platform for operationalizing data science, allowing users to scale data science across an organization to solve complex challenges faster and speed innovation. It is designed to enable data scientists to…
Spotfire Data Science is a tool that finally feels like it was written by a professional analyst
Data Science, the future of predictive analysis!
Great analytics, machine learning and data science platform
Data Science is World-Class, as Long as You Have Ongoing Projects that Need World-Class Analyses
A Sweet Spot between Overwhelming and Underwhelming
Spotfire Data Science is a team builder!
Positive experience
Data and Science at your Fingertips!
Data Science in CogS
TIBCO Data Science
TIBCO Data Science Review
Great product, great support team
Data Science can save time in exploration of large datasets
Mostly Satisfied
Pricing
What is Spotfire Data Science?
Spotfire Data Science (formerly TIBCO Data Science) is a comprehensive platform for operationalizing data science, allowing users to scale data science across an organization to solve complex challenges faster and speed innovation. It is designed to enable data scientists to create innovative…
Entry-level set up fee?
- No setup fee
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
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Product Details
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- Competitors
- Tech Details
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What is Spotfire Data Science?
Spotfire Data Science Features
Platform Connectivity Features
- Supported: Connect to Multiple Data Sources
- Supported: Extend Existing Data Sources
- Supported: Automatic Data Format Detection
- Supported: MDM Integration
Data Exploration Features
- Supported: Visualization
- Supported: Interactive Data Analysis
Data Preparation Features
- Supported: Interactive Data Cleaning and Enrichment
- Supported: Data Transformations
- Supported: Data Encryption
- Supported: Built-in Processors
Platform Data Modeling Features
- Supported: Multiple Model Development Languages and Tools
- Supported: Automated Machine Learning
- Supported: Single platform for multiple model development
- Supported: Self-Service Model Delivery
Model Deployment Features
- Supported: Flexible Model Publishing Options
- Supported: Security, Governance, and Cost Controls
Additional Features
- Supported: End-to-End Analytics Platform
- Supported: Model Management and Governance
- Supported: Validated Analytics (GxP, FDA Compliant)
Spotfire Data Science Screenshots
Spotfire Data Science Videos
Spotfire Data Science Competitors
Spotfire Data Science Technical Details
Deployment Types | On-premise, Software as a Service (SaaS), Cloud, or Web-Based |
---|---|
Operating Systems | Windows |
Mobile Application | No |
Frequently Asked Questions
Comparisons
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Reviews and Ratings
(34)Attribute Ratings
Reviews
(1-16 of 16)Spotfire Data Science Is A Complete Statistical Software Package With Few, If Any, Equals
- Spotfire Data Science provide reliable results.
- Spotfire Data Science is 'complete' meaning it provides nearly all the tools I will ever need. If it is not in Spotfire Data Science, then it is probably not worth the effort.
- Spotfire Data Science saves time on figuring out how to do new things; maintenance; and execution time.
- Spotfire Data Science can handle large datasets.
- Spotfire Data Science works more like a quant thinks, so I do not have to trick it to solve the problem in a natural way.
- I think all statistical software could be better organized by problem rather than tool type. All of the academic books are organized this way so that is how we all think.
Spotfire Data Science is a tool that finally feels like it was written by a professional analyst
- Spotfire Data Science does the point-and-click setup of data science better than anyone.
- Spotfire Data Science does a good job at making suggestions on modeling framework.
- Spotfire Data Science is for the advanced user. A beginning analyst may find the capabilities of the software overwhelming.
- Spotfire Data Science's default analytics models are not always the best.
Data Science, the future of predictive analysis!
- It can handle huge data sets.
- It can handle different data sources.
- It is very quick in calculating things, as compared to almost any other tool.
- Sometimes it crashes while developing the reports.
- It should add some more charts like a donut, performance chart, etc.
- It should be more consumer friendly in connecting to R.
- Machine learning
- Deployment
- Security and governance
- It could also be available in the cloud
- It could have NLP features like Spotfire
- Greater built-in node customization options
- 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.
Data Science is World-Class, as Long as You Have Ongoing Projects that Need World-Class Analyses
- Data Science does an awesome job with web scraping. It's the easiest tool out there to scrape web data.
- The point-and-click process for performing neural networks is awesome.
- The graphics produced by Data Science are as good or better than most other software tools.
- Because the software takes a point-and-click approach upfront, creating customization requires more effort than software that starts with coding. It's somewhat like Excel. Excel is great for the things it does, but when it requires VBA coding, another software tool is usually a better fit.
- If you're looking to create custom graphics outside of what is built in to Data Science, good luck, not easy.
- Data Science has a moderately sized user base, but nowhere near some of the free software tools. This can be challenging when looking for answers to questions.
A Sweet Spot between Overwhelming and Underwhelming
- It has a great user interface, easy to navigate and learn on the fly.
- There are lots of great options for data organization and analysis! Makes it a handy tool for presentations as well.
- A collaborative ability is highly valued for my company where we often work from home or on site. Being able to share the data with those in the office so multiple people can look at it is a great tool!
- The visualization aspect of the program can be a little tricky to figure out. It's great to have options but it will take a bit of practice before your figures start looking the way you want (or that's how it was for me).
- While younger employees like myself may quickly grasp on to the program, the modern interface is difficult for older employees to navigate and get comfortable with. This isn't a problem until you are trying to collaborate with them and things go awry. Perhaps they just need in-depth tutorials to help expedite their learning process.
- It can be difficult to connect to other databases to import existing data. It's just not an obvious pathway and required some researching before I got the hang of it.
Spotfire Data Science is a team builder!
- Collaborative interface that allows multiple people to work on the same project
- Very user friendly
- Minimum coding
- Some basic tutorials on coding, such as introduction to Python would be great
- It would be nice to have a direct output to ArcGIS files
- An online database of code would be helpful for open sourced products
Positive experience
- The processing of data and providing flexibility in changing the processing throughout the process.
- Providing several advanced computational methods in one package.
- The integration with Spotfire makes the output easier to communicate.
- The user interface has a strong learning curve.
- The neutral network and random tree/forest setup uses terminology associated with some specific branches, not always the most broadly used paramtere term.
Data and Science at your Fingertips!
- Data Science is very convenient and easy to use. The drag and drop feature makes it a go to software program because of ease of use.
- Data Science provides a power engine to complete a wide range of computations.
- Data Science should come with a statistical analysis explanation feature that helps to interpret your results.
- Data Science should come with a T9-type feature that makes suggestions//recommendations for your next move.
Data Science in CogS
- Newbies handly for stats : click and go learning curve.
- Quick and fast cut and past data in spreadsheets over laptops windows.
- Good documentation and tutorials for fast and autonomous learning.
- Student friendly.
- License cost : Data Science fights again R/RStudio, which are both opensource with strong support.
- : No 'last implementation' of new stats tests recently peer reviewed : Not really the first tool to use in our research context.
TIBCO Data Science
- Saves time by calculating things such as median value.
- Easy to generate diagrams.
- Easy to import data sets.
- Saves time because you are able to choose what data you want to use and how you want to display it.
- I’m still learning everything TIBCO has to offer.
- My main focus has been mostly on box and our organization uses TIBCO Data Science mainly in our water quality and biological departments. We use this program to help with the massive data sets we produce. This software allows for us to create different ways to present that data.
- I would like to get into more of the other options available.
TIBCO Data Science Review
- 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
Great product, great support team
- Intuitive, just like spreadsheet
- Highly interactive
- Automate a lage number of routines, by click of a button
- Rapid deployment, documentation, monitoring all built-in
- Release stability and QA
Data Science can save time in exploration of large datasets
- It can run batch statistics for multiple parameters and stations with one button click, as long as the data are set up correctly. It is a major time saver.
- Its graphics are usually much more editable than other statistical software, except for those that need programming.
- It has a very good "textbook" that gives the ins and outs of each analysis. Other software may use a generic test name without giving the specific references for the formulas that it is based on.
- Although the graphics can be copied into Word or Excel, the copying and pasting process is buggy. Sometimes I basically have to do a Capture Rectangle of a graphic and paste it as a jpg, rather than having an embedded and editable graphic in my Word document.
- The dialog boxes for some of the common tests, like multiple regression and ANOVA, use quirky terminology that is not intuitive to new users coming out of grad school with a more updated education. I have been using it for over ten years, and the dialogs have not updated in all of that time.
- The tests like NMDS and PCA are clunky and difficult to use and get the appropriate outputs, especially compared to specialized software like PRIMER.
Mostly Satisfied
- Great tool with unique features such as Weight of Evidence (WoE)
- Analysis of stats
- Performance features
- Deeper learning algorithms will be preferable
- User interface
Good computing software
- Data modeling
- Analysis of stats
- Performance features
- User interface
- Speed