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Spotfire Reviews & Insights

Score8.2 out of 10

824 Reviews and Ratings

Community insights

TrustRadius Insights for Spotfire are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.

Pros

Efficient Data Handling: Users have praised Spotfire for efficiently managing large and complex datasets, making it a standout feature that significantly improves their workflow efficiency and data processing capabilities.

Diverse Visualization Options: Many reviewers appreciate the software's wide range of visualization choices, including bar charts, scatter plots, and warmth maps. These options not only enhance their ability to create dynamic visualizations but also cater to different analytical needs across various industries.

Sophisticated Analytical Capabilities: Users find Spotfire empowering due to its sophisticated analytical features, enabling them to conduct intricate analyses and make informed decisions using various statistical functions and predictive modeling techniques. This functionality has been instrumental in driving data-informed strategies and business growth for many users.

Spotfire Reviews

84 Reviews
Engineering

Very good with visualizations

Rating: 8 out of 10
Incentivized

Use Cases and Deployment Scope

I use Spotfire in my organization by creating visualizations for our data. I also create tables that are able to be queried without much user difficulty. Spotfire addresses the business problems mentioned. Other platforms do not provide the connectivity, flexibility, and options that Spotfire provides. It also allows for data from multiple different sources to join, modify, etc.

Pros

  • combine data from multiple sources
  • user friendly controls
  • various ways to manipulate data

Cons

  • process to store passwords for data could be easier
  • preview for data transformation steps does not work well (or at all at times)
  • Messages for information link errors could point out problems better

Likelihood to Recommend

Spotfire is well suited for visualizations of data in various forms. There are multiple ways to display the data and a lot of customization available. In particular, I can overlay a line graph on multiple bar graphs and then be able to switch the data values to look at, zoom in/out, and plenty of other things.
Vetted Review
Spotfire
4 years of experience

Spotfire is an essential data analysis tool.

Rating: 10 out of 10
Incentivized

Use Cases and Deployment Scope

Spotfire is a powerful data analysis tool our company uses for data exploration and data visualization. Spotfire is flexible when it comes to connecting to varied data sources. Additionally, we deliver data products to our customers. On top of the data, Spotfire makes it easy to create template data visualization for our customers to analyze data on the web. These custom views can be quite complex, as Spotfire can be extended using Python, R, and JS.

Pros

  • Data connection
  • Data visualization
  • Web access

Cons

  • Change management aka GIT
  • Labels
  • Custom annotations

Likelihood to Recommend

Spotfire is great for sharing data analysis internally between power users and report viewers. It is my go-to tool for data exploration. It might be less appropriate for multiple users working on the same project at the same time. There may be better tools for supporting external users, as deployment can take effort.

Spotfire Review By Beginner User

Rating: 7 out of 10
Incentivized

Use Cases and Deployment Scope

Across the organization by maybe ~10-20% of the overall staff (~1/3 of the engineers/geologists). Mainly being used as a visualization tool, though personally I am still getting better acquainted to it. My key thing is that a lot of what I see as its value I can also do in Excel which I am much more adept at. One key thing with Spotfire is the ability to tie to live data sources. I'm hoping to figure out ways to use Spotfire for more advanced analytics.

Pros

  • Tie to live data sources
  • customization with formulas
  • sharing work books

Cons

  • more user friendly interface
  • better customization of the asthetics of the charts etc

Likelihood to Recommend

a dashboard to stay current on finances, industry activity.

Spotfire makes my job easier

Rating: 8 out of 10
Incentivized

Use Cases and Deployment Scope

Spotfire is used by most of the company. The production engineering department creates reports for the field and Executive team to use. It gives us great visibility on our daily production, LOE, costs, and production analytics.

Pros

  • Data import is easy.
  • Creating visuals is simple and straight forward.
  • You can create visuals to show exactly what you need.

Cons

  • Sometimes it can be difficult to make a formula work exactly as you need in Spotfire. I've experienced many times where a simple formula in Excel doesn't work in Spotfire. There is always something a lot more complicated that needs to be done instead.

Likelihood to Recommend

Spotfire is very well suited for companies with lots of data they need to be able to look at quickly. It can easily be used with SQL data connections or an Excel sheet so it should be appropriate for any size company.
Vetted Review
Spotfire
3 years of experience

Basic review

Rating: 8 out of 10
Incentivized

Use Cases and Deployment Scope

It is currently being used in our Engineering department and we hope to expand that across other groups within our company. Our data was limited to Excel spreadsheets and this has helped to move us past this to fully utilize the data we are collecting.

Pros

  • Clean and versatile presentation of data.
  • Adding and subtracting information in analyses.

Cons

  • Some data streams should be visibly controlled (colors for gas, oil, and water) should be defaulted.

Likelihood to Recommend

The graphing ability is impressive, as data is looked at and quickly added or subtracted.

Powerful tool, makes me more efficient!

Rating: 9 out of 10
Incentivized

Use Cases and Deployment Scope

Spotfire is being used across the whole organization for various applications. Overall, it integrates multiple sources of data to be able to spend more time analyzing rather than data manipulation. For me, I merge well, completions, reservoir, and geological data together to find trends and correlations that contribute to well performance, determine top operators, and potential areas for acquisition.

Pros

  • Absorbs vast amounts of live & static data.
  • Customized dashboards.
  • Quick results.

Cons

  • Some visualizations are a little clunky.
  • Could use some refinement in the UI.
  • Would like to see more customizable plots/charts.
  • Not being able to align gridlines with multiple scales

Likelihood to Recommend

In my work, the ability to combine engineering, geology, and economics into one platform is powerful. In my role in A&D, I use existing dashboards that I've created to quickly get up to speed in a new basin or play as I can quickly look at where the best wells are, the best operators, and also why (completions, economies of scale, concentrated land base, own facilities, etc.). If I were to do this the "old" way, it would take weeks rather than hours or days.

Spotfire is a great visualization platform and a good first step for a data analytics ecosystem

Rating: 8 out of 10
Incentivized

Use Cases and Deployment Scope

Organization usage: focused in development and operations departments.

Business Problems:
  • Visualization of operations metrics such as production tracking.
  • Data QC.
  • Prototype advanced analytical approaches.

Pros

  • Interactive visualizations ("Brush UI").
  • Data wrangling interface.
  • Search function for Spotfire features.

Cons

  • Steep learning curve.
  • Self help options confusing - online help is convoluted; inline help is mediocre.
  • Trellis by a hierarchy or custom grouping of categories.

Likelihood to Recommend

Well Suited:
  • Data exploration including with the recommendation engine - these are useful reminders of perhaps hidden configurations of the base plots.
  • Distributing custom code via data functions.
  • Builds very nicely off a standard data platform such as TDV.
Poorly suited:
  • Not fully multi-user: risks in active collaboration on a Spotfire project and potential saving over each other's work.
  • Standalone not a strong data analytics tool - we've had to customize/augment with custom code or Statistica.
Vetted Review
Spotfire
4 years of experience

Spotfire will help you Spot that Fire

Rating: 9 out of 10
Incentivized

Use Cases and Deployment Scope

We have Spotfire connected to on-site databases to create engineering and operations dashboards to drive actions. It is being used by departments such as equipment engineering, process engineering, yield, operations, all taking in data from a variety of data warehouses or databases and sometimes uploaded from Excel sheets where required. Spotfire is solving the business problem of helping spot what areas need action.

Pros

  • On click actions
  • Python integration

Cons

  • More chart options--lots exist, but there are some great ones out that are hard to make currently

Likelihood to Recommend

I would recommend Spotfire anywhere where quick iterations of reporting pages are needed. It really excels at getting the data out there for users to see. One area where I do see it struggle is that once the reports get big, the speed slows down and could be an issue. Maybe it just needed more caching mechanisms.
Vetted Review
Spotfire
5 years of experience

Spotfire for Semiconductor Testing and Data Anaysis

Rating: 10 out of 10
Incentivized

Use Cases and Deployment Scope

We use it to analyze all our electrical test data. One of our most critical use cases is analyzing on wafer data. We build integrated circuits and have "wafers" with thousands of devices on them and each one has 10-15 measurements. We test multiple wafers per lot and this amount of data grows quickly! Spotfire is great to get all the data into the tool and quickly analyze it to determine yields.

Pros

  • Pulling in large amounts of data. We used to use Excel and scripts but it struggled to handle so much data.
  • Comparing data every which way you can imagine as well as comparing part to part, lot to lot, etc.
  • Visualizing and displaying the data. We can analyze and compare quickly, then summarize and show visually concise graphs to management so we can make good decisions.

Cons

  • The recent interface changes took some time to get used to.

Likelihood to Recommend

When comparing large data sets with many parameters. Great for determining yields and problem solving. When problem solving you can plot many different parameters against each other to determine correlations and help zoom in as to what is going on.

It is less suited to small data sets and quick post processing. An example would be pulling in a data set of a few parts and then calculating a parameter like PAE or P3dB.

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