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Spotfire Data Science

Spotfire Data Science
Formerly 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…

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Recent Reviews

Positive experience

7 out of 10
September 04, 2018
Incentivized
Data Science is being used for the more complicated optimization and control improvements. It allows the use of advanced mathematical …
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TIBCO Data Science

8 out of 10
January 30, 2018
Incentivized
Our organization uses TIBCO Data Science mainly in our water quality and biological departments. We use this program to help with the …
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Mostly Satisfied

7 out of 10
November 08, 2017
Incentivized
Data Science has allowed us to rapidly deploy advanced analytics to support a growing organization, using a team of non-programmers to …
Continue reading
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Pricing

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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

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 solutions using the latest machine learning techniques and open source developments. Create ML pipelines using a point-and-click UI or code. Orchestrate analytics using the tools, languages, and any frameworks of choice. Then deploy, manage, and govern models across core and distributed data environments to deliver insights and act with confidence.

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

Screenshot of Reusable Workspace TemplateScreenshot of AutoML - Create Editable Workflows for Feature Selection/Generation, Model Creation/Selection, Hyperparameter TuingScreenshot of Interactive DashboardScreenshot of Orchestrate Analytics across Amazon, Google, and Microsoft

Spotfire Data Science Videos

Spotfire Data Science - Statistica

Watch Spotfire Data Science - Team Studio

Spotfire Data Science Technical Details

Deployment TypesOn-premise, Software as a Service (SaaS), Cloud, or Web-Based
Operating SystemsWindows
Mobile ApplicationNo

Frequently Asked Questions

Alteryx, RapidMiner, and Dataiku are common alternatives for Spotfire Data Science.

Reviewers rate Connect to Multiple Data Sources and Extend Existing Data Sources and Automatic Data Format Detection highest, with a score of 9.1.

The most common users of Spotfire Data Science are from Enterprises (1,001+ employees).
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Comparisons

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Reviews and Ratings

(34)

Attribute Ratings

Reviews

(1-16 of 16)
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Score 10 out of 10
Vetted Review
Verified User
I use Spotfire Data Science for all of my data analysis and data management needs. Ordinarily, I receive data or get access to my client's database. I import it into Spotfire Data Science and ordinarily repair fundamental problems with the data. Next, I get the data into an analyzable form. This may require writing macros to transform the data. Spotfire Data Science macros are powerful. E.g., in analyzing employee data, I aligned events from eight different datasets relative to hiring date. I perform easier or iterative transformations in a workspace. Many of my problems require prediction so I leverage Spotfire Data Science's different modeling nodes and always end up with a powerful ensemble model. The final model can be exported into whatever code my client prefers. Another common area is need is performing exploratory data analysis. Spotfire Data Science is provides quick results for same day responses to clients.
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Spotfire Data Science is used by our organization to build advanced analytical forecasting and other predictive models and for simple to understand visualizations. The software is used by the professional analysts exclusively, no other group of professionals employs the software. Spotfire Data Science does data science in an easy-to-use, visually appealing style.
Score 9 out of 10
Vetted Review
Verified User
Incentivized
Data Science is used to figure out the fraud happening in our retail stores. It is used across our department and some other departments too. We usually use another UI application called Eagle to raise alerts for such doubtful transactions, and with Data Science, we can show the alerts and help business people prevent fraud.
Luis Ambrosio | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Spotfire Data Science is being used across the whole organization. We have a little over 500 active clients who use Data Science on a daily basis to solve numerous business problems. Data Science offers a variety of data analysis and statistical methods that can be put into production with just a few clicks; the competitive advantage and practicality it supports really speeds up the whole process.
Thomas Young | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Spotfire Data Science is used across the analytics department to develop data visualizations and perform advanced data analytics. The software offers well-structured ways to scrape data from the web, perform machine learning, implement neural networks, create publication-quality graphics, and other simpler analyses. The advantage of Data Science is that it walks analysts through the analysis process rather than needing to write custom code.
Abigail Bowden | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Incentivized
We use it to manage data collected during field work for environmental and geophysical purposes. We collect a lot of data with many aspects to it that is easy to mismanage. Spotfire Data Science has been incredibly helpful in organization, analysis, and management of collected data, as well as collaborating with coworkers on the data management and presentation for clients.
Shelby Bowden | TrustRadius Reviewer
Score 6 out of 10
Vetted Review
Verified User
Incentivized
We regularly use Spotfire Data Science as a means to share and develop code that we make and use for our geologic informational systems programs. We are usually working in VBS script or in Python, so Spotfire Data Science is a great tool for multiple people in the lab to work on Python codes.
January 30, 2018

TIBCO Data Science

Score 8 out of 10
Vetted Review
Verified User
Incentivized
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.
Steve Wagner | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User
Incentivized
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.
Score 8 out of 10
Vetted Review
Verified User
Incentivized
At my current company, TIBCO Data Science is being used by at least two senior scientists that are located in different departments. Those senior scientists (including myself) use the software to answer analytical questions about issues related to water quality, toxicology, conservation biology, and other areas in support of our public and private sector clients. At my previous company, I managed several junior staff who were also TIBCO Data Science users for the same types of questions, but the cost of the software is a handicap toward getting more junior users at my current company.
November 08, 2017

Mostly Satisfied

Score 7 out of 10
Vetted Review
Verified User
Incentivized
Data Science has allowed us to rapidly deploy advanced analytics to support a growing organization, using a team of non-programmers to meet critical business goals and requirements. We have significantly expanded the usage both in breadth and depth, expanding it to new products as well as utilizing other capabilities that were not in the initial scope. The vendor has been excellent in supporting us over this timeframe, both for technical support issues as well as enhancing functionality.
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