Item: Spotfire
Rating: 10
Author: Verified User

Use Cases and Deployment Scope

Spotfire is great at visualizing very large data sets. With hundreds or thousands of process inputs and outputs you can easily see correlation / causation when one part of the manufacturing process changes and the effect it has on others.

It is also easy to build dashboards to easily convey results to people with less statistically robust backgrounds.

Overall, Spotfire is an essential tool that allows for interrogating manufacturing issues and resolving them quickly with minimal effort.

Pros and Cons

Trend charts for QC metrics that can rapidly be filtered by process inputs
Yield reporting trends and grouping by process inputs
Dashboards for statistical analysis of process inputs as compared to historical performance

I would love to see a native Pareto chart visualization
Have an way to default a "profile" setting. For example coloring on visualizations Pass/Good should be green and Fail/Bad should be red

Return on Investment

Spotfire is the workhorse for our manufacturing and QC data analysis.
Spotifre allows for quick resolution of multiple manufacturing problems that drives yield improvements.

TIBCO Platform Integration

N/A

Ideal Data Sources

We have already connected out databases and MES.

Alternatives Considered

Microsoft Power BI and Tableau Desktop

I prefer Spotfire greatly. While is may seem like a "one trick pony", it does that one trick really well.

Key Insights

Do you think Spotfire delivers good value for the price?

Yes

Are you happy with Spotfire's feature set?

Yes

Did Spotfire live up to sales and marketing promises?

I wasn't involved with the selection/purchase process

Did implementation of Spotfire go as expected?

I wasn't involved with the implementation phase

Would you buy Spotfire again?

Yes

Other Software Used

Minitab Statistical Software, Microsoft Excel

Likelihood to Recommend

Spotfire was used to look at a large data set of an in process manufacturing step. The data visualization was set up to look at yield as a function of several inputs (chemical / equipment / operator). After only a short analysis it was immediately obvious that there was a 5% yield discrepancy based on the operator using the equipment. The operators were retrained and the yield gap was eliminated.

Insightful Manufacturing Process Interogation

Software Version

Overall Satisfaction with TIBCO Spotfire