Trust, Automation, Reliance...Spotfire.
September 11, 2018

Trust, Automation, Reliance...Spotfire.

Mathew Dusharm | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Software Version

TIBCO Cloud Spotfire

Overall Satisfaction with Spotfire

Spotfire is an integral tool for data analytics and data wrangling by my organization. Currently Spotfire is being used for my professional research interests and has been an integral framework for reiterative tasks. Spotfire has been able to handle all of my data wrangling problems with analytical precision with a flexible and responsive user interface!
  • Analytics
  • Wrangling
  • Aquisition
  • Automation
  • EMR Support
  • User feedback
  • Implementation algorithms
  • Task Analysis
  • Positive
  • Trustworthy
  • Precise
Analysis files with OData connections are authored in Spotfire Cloud Analyst, saved to the Spotfire Cloud Library and are then available for Spotfire Cloud Business Author and Consumer users. This has been an integral way for me to conduct online inquiries for my personal research and business. the information architecture and visualization has benefited me tremendously.

Spotfire's recommendation engine would automatically detect if new data should be added as rows to existing data. With Spotfire 7.9, the recommendation engine for add rows also automatically matches columns with common names but different prefixes and/or postfixes. For example, the new column 'Sales (2016)' will match the existing column 'Sales (2015)'. This is a significant change to SQL data entry.

Columns that have the same prefix/postfix will have the prefix/postfix removed from the column name. In the example above, the column name will be 'Sales'. Once again a clear example of excellent data wrangling.

The prefix/postfix will automatically be entered on all rows in the origin column. In the example above, the origin column will contain '2016' and '2015' for the respective data sources~ Improvement over companies that have comparable prefix/postfix automation implementation algorithms.

When exporting a visualization to an image, an image will now use the visual theme of the analysis, and the image is exported in a higher resolution than before. There are also right-click context menu option to export an image to a .png file, and also to copy the visualization image to the clipboard so it can be pasted into a document or presentation. Great visualization techniques.

Improves clustering algorithm techniques. More agile development.

Spotfire Feature Ratings

Customizable dashboards
8
Report Formatting Templates
8
Drill-down analysis
9
Formatting capabilities
8
Integration with R or other statistical packages
8
Report sharing and collaboration
8
Publish to Web
8
Publish to PDF
8
Report Delivery Scheduling
8
Pre-built visualization formats (heatmaps, scatter plots etc.)
8
Location Analytics / Geographic Visualization
8
Predictive Analytics
8
Multi-User Support (named login)
8
Role-Based Security Model
8
Multiple Access Permission Levels (Create, Read, Delete)
8
Responsive Design for Web Access
8
Mobile Application
8
Dashboard / Report / Visualization Interactivity on Mobile
8
REST API
8
Javascript API
8
iFrames
8
Java API
8
Themeable User Interface (UI)
8
Customizable Platform (Open Source)
8

Spotfire Training

  • Online Training
  • No Training
This training allowed for me to be able to creatively implement a system architecture that would allow for a significant modification to preexisting data structures that needed retraining for model analysis. Not only was Spotfire very helpful in providing clear guidelines and learning instructional tools for knowledge retention and implementation.