This solution allows for much easier navigation to specific pages of data making searches much more time-efficient.

If we get dirty data in, we might use Spotfire to see what it is we actually have. This might include how many files we have and the file types, in the case where we have this massive data purchase or something similar.

We use Spotfire to slice and dice and see what we're looking at. But then at the end of the day, we end up just taking the data and loading it into Oracle tables. After we have figured out what we have, we might connect Spotfire to those data tables, to better display the different analyses that a geochemist needs.

In the past five or six years, we've moved away from multiple one-size-fits-all solutions attached to the various data warehouses to using Spotfire as a single point of entry to explore all (well... most) of our data repositories. We now have a team that works with the data stakeholders to make sure the data is federated and presented to the users appropriately. Operating under this model allows us to aggregate data at the project level and takes that burden from the users which allows them to do more science.

I championed the use of this solution in my company (an engineering service company) and ultimately we delivered a lot of projects. Often, we were working on development, more specifically user interface development, graphical user interface, and other things that were extremely costly and time consuming. When the BI tools arrived, it seemed to be a very fast way to not only analyze data, but also provide interactive dashboards to people, which before would've required the development of a custom tool. This would've been magnitudes higher in terms of price, so I really saw an opportunity there with the BI tools.

At this stage, it was clear that Spotfire was the top runner. I don't have much experience with Tableau, but clearly for scientific applications, Spotfire was awesome. Especially because of its integration with things like RNG. As an engineer, I was very excited.

The same way any visualization product has improved things.

In my previous organization, Spotfire added a great deal of value by allowing Reservoir and Production Engineering teams self-service access to production and well data. Spotfire allowed our teams to query datasets for their analysis through the pre-defined lens that we had created in Spotfire. In addition, it allowed them to manipulate the data without introducing any risk to the source systems.

• Tibco Spotfire analysts from building Excel and PowerPoint reports and allows them to start analyzing information.
• Standardizes metrics and flow of information within organizations.
• Simple enough for non-tech users to use, but powerful enough for power users to produce advanced analytics.

Many users have developed dashboards for management review that are now automatically generated, as opposed to something that requires many hours per week or month.

Some people are using Spotfire to provide analysis updates in meetings as opposed to using static PowerPoint slide decks. This allows for more interaction with the data, as ad-hoc questions can be answered by manipulating Spotfire to display data as requested.

Expert users can deploy analytic platforms for data that are periodically generated, which less-experienced analysts can then use to make good decisions. For example, yield review of batches of material received in manufacturing.

It has improved internal audits in customers that implemented the enterprise server by increasing the size and scope of data sets analyzed and tested. This makes the process more automated.

• It has enabled staff to easily create reports/dashboards without having to involve a developer in most cases.
• It has made it easier for users to create their own reusable visualizations/widgets.
• For more advanced users it facilitates better integration of the languages used (Python, Javascript, etc.) and the tools.

Use of Spotfire has almost eliminated people doing cumbersome, manual ETL efforts in files and other products from transactional source systems and the corporate data warehouse.

I used it in an academic setting as a resource to learn R scripting. I have found it an easy API to learn.

It gives us better insight into data, taking things out of Excel and sharing solutions. We save many millions of dollars.

Our organization utilizes Spotfire in many ways, we have had major success in using Spotfire for resource utilization and project management as well as with big data in website analytics.

We have demonstrated creating tools using advanced analytics in Spotfire that our analytics team can run and get the information needed to provide insights extremely fast.

Our old executive reports were heavily text-based. People responsible for generating reports would spend a lot of time writing a report that nobody read. Once we implemented Spotfire, the reports have become data-driven and visually appealing.

We carefully designed the analytic report in a way that condenses text-based information into visual information that is easy to digest. It is true that you could also achieve the same outcome with Excel or other MS Office tools, but with Spotfire's data visualization capabilities, the job is much easier.

I am giving an answer that considers one scenario. For example, we have health care client. They need their standards as high as possible all the time. For that reason, they want to know their drug risk level calculation for every time zone throughout the world. I developed one dashboard that can show them their drug risk level and calculate new risks, etc., whenever they required.

It got rid of a static report, there is now no need for multiple reports, and it provides user interaction. A single report serves multiple users, and they can access it via web browser.

Maintenance is greatly reduced.

We are BI Consultants and this tool is by far the most complete software for data analysis. It has helped many organizations to analyze, predict next trends and report findings using interactive dashboards. One of the best features is the capability to export the analysis to make it run in a web browser without loosing the core interactive and filtering functionality making it available to anyone without having to install any software. This characteristic can represent in huge savings in custom web application programming efforts.

Using Spotfire, it's very quick to see insights in your data.

It is one of the best BI tools that gives deep insights into our data along with analytical exposure and statistical services.

I have produced numerous models on customer segmentation, leveraging cross-tab; summary tables; scatterplots; k-means clustering; and custom filtering. One such tool has essentially allowed us to create real-time custom segments of customers based on similar customer attributes. Historically, we used P$YCLE codes for segmenting but now we can create 10-13 segments on the fly based on our own customer data.

We have used Spotfire to monitor test equipment utilization worldwide, and are able to respond to testers that have been identified as "down." This type of analysis also reduces costs because, instead of the test facilities purchasing new equipment, we can work on increasing utilization.

We used it pretty heavily in gathering data, which goes to our VPs. They are able to base their next revenue planning based on this metric. So, it has been invaluable.

We were able to automate manual reports, which we then email a report copy to the user's mailbox instead of someone manually creating the report and sharing it in bigger user groups.

Due to the creation of information links directly against our ArcGIS database feature classes, we are able to have live updated interactive shapefiles shared across the company.

We are also able to create visualizations in an interactive (investigative) dashboard combining data from multiple databases. These dashboards can serve somewhat as a self-service investigative tool by our team members to answer questions they might have about a particular issue.

From a safety standpoint, I have developed visualizations that have highlighted trends in past history. When identified, they helped the business determine where to put more focus and consciousness in operations so that they can reduce injuries.

One of my teams uses this for capacity planning. Fairly advanced statistical approaches underlie the analysis, but because Spotfire emphasizes visual approaches, it's easy to communicate out to managers without the stats background.

This application has reduced the amount of time we spend manipulating data in Excel.

• Massive process improvement and time savings in life science research, as well as clinical data analytics

We have a dashboard set up with Spotfire to show risk metrics across the firm for senior management.

It gave business insights by exploring their data.

We are moving away from a single person exploring data and giving presentations towards team exploration of data in a conference room environment.

Spotfire is great for data visualization.

In a previous job, I implemented a signaling system for calls coming in from the first line support desk. I placed Spotfire on top of a small live data sheet. It reloaded Spotfire with an external script and exported the analysis to HTML. After that, another script (created by a co-worker) ran to extract the contents and place the items in an automated web page, where tabs were switched every couple of seconds.

This tool was even able to run in the Network Operation Center on a big screen.

It has allowed us to be able to host client and web on same server.

The client where I have implemented TIBCO Spotfire was using it to understand calls received on their call centre. With the analytics provided, they were able to understand when during the week / day they receive most of the calls to then take action and get the right number of agents.

Many reports which were tabular in form are now very intuitive after being converted to Spotfire. Also, they are automated, so it saves a lot of effort, time & money.

Reporting and dashboarding became quite easy. It is much faster and more robust than other BI or visualisation tools.

This has allowed us to see real time operational analytics helping us to take timely decisions in correcting the defects and repositioning them in correct mode.

It is being used in a number of ways within the organisation, from internal financial analysis to products and services we sell to our clients.

It provides a more systematic way of tracking employees and their hours.

It allows users to quickly analyze data from a variety of sources and visualize it with powerful, interactive graphs, and charts. This leads to faster and better decision making, as well as identifying areas to save costs, increase revenue, optimize, etc.

It has helped our organization become more agile.

It did not improve the way my organization functions. We have implemented a different solution to meet our need.

I have used Spotfire at several client locations to develop solutions to help their organization make better and more informed business decisions.