Spotfire Data Science

Formerly TIBCO Data Science with Team Studio and Statistica

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.

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.

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.

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.

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.

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.

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.

Data Science is being used for the more complicated optimization and control improvements. It allows the use of advanced mathematical methods and I don't have to teach graph theory instead.

As a student, I utilize Data Science within a learning environment to better my predictive analytic skills.

Whole lab, for quick and dirty stats and where researchers are too lazy to use R.

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.

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.

Used for predictive/prescriptive model development and rapid deployment. Model health monitoring and alerting also included

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.

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.

Data Science is being used to compute data analysis models efficiently that would otherwise take longer than usual. It has a profound processor that it uses the right algorithms to achieve a dependable statistical value.