Spotfire is an excellent data visualization and data analytics tool
Updated December 09, 2016
Spotfire is an excellent data visualization and data analytics tool
Score 10 out of 10
Vetted Review
Verified User
Software Version
4
Overall Satisfaction with Spotfire
Pros
- Handles large data sets very well (ie. thousands to millions of rows of data)
- Gives users flexibility on creating the types of visualizations they can create based on what questions they ask.
- Can easily integrate with data sources, for example, connecting directly to databases.
- Makes it easy for a user to spot trends or outlying data and identify it.
- Empowers user with the ability see the data in a different way and make decisions.
Cons
- Out-of-the-box, Spotfire does not do actual data analysis well, meaning it is really not meant to be used for complex calculations of data.
- Requires a 3-tiered architecture (Oracle Database, Application Server, and thick client) for setting up.
- It does not have a strong curve-fitting engine.
- This is too difficult to measure in a pharma research environment.
TIBCO Cloud Capabilities
- Using Spotfire as a search user interface where the current application does not have one developed yet. By connecting to the correct data tables in the application's database to serve as the data source to the Spotfire file, we then created a search tool by combining visualizations and filters to the data.
Using Spotfire
1000 - Research
20 - 20 is an estimate, as we have a large global environment. This includes infrastructure support (DBA's, networking), and for user support we have informatics specialists to assist users.
- In the pharmaceutical research industry, the application can be used for viewing experimental results to spot trends or ask specific questions against assay data to make decisions going forward on research projects. Also I’ve seen it used it for reporting of results, dashboarding for project progress tracking. It could also serve as a search tool against a database.
- Data visualization of large data sets. pharmaceutical research.
- Drilling down to answer questions against data.
- Spotting trends or identifying anomalies in large data sets.
Evaluating Spotfire and Competitors
Spotfire Implementation
Spotfire Training
- In-person training
- Self-taught
In my opinion, it is not a good idea to give this application to a user without training. In a previous review, there is a comment that this application has a short learning curve, but that reviewer is an engineer. If you are technical and are good with data analytics tools already, it should be easy to pick up. If you are a scientist whose main focus is to discover and develop pharmaceutical drugs, you don't have time to figure it out yourself. I find that at least the basic fundamentals of Spotfire need to be shown to most new users first to get the most out of the product.
Spotfire Support
No
As long as there is enough internal expertise in your company, you probably wouldn't need to pay the vendor for premium support.
Using Spotfire
Spotfire Reliability
Integrating Spotfire
- Mostly creating information links to pull data directly from oracle databases.
Utilizing information links builder tools in the application makes it fairly easy to connect and query databases directly to bring in live up-to-date data.
- No, not at this time. My main job function is to train users on the fundamentals and also how to use any custom tools built in house for Spotfire.
Comments
Please log in to join the conversation