# Technically Speaking – Analytic solutions to real-world problems

Are you and your data "having issues?" JMP real-world case studies help you solve them with key insights on overcoming the challenges with data collection, preparation, and analysis.

Are you and your data "having issues?" Do you find that your data seems to be hiding something, not giving you the answers you need? Perhaps your data has been inappropriate, messy, unruly or just plain missing?

If this describes your relationship with your data, look no further. It could be that your data has simply been misunderstood. Our real-world case studies deliver key insights on overcoming the challenges you may face with your data collection, preparation, and analysis.

### On-demand webcasts

**Best Practices in Data Visualization**

Use data visualization best practices to create compelling graphs.

**Boosting Performance With Custom Designed Experiments**

Learn how building an interactive process model can help streamline experimentation.

**Clinical Trial Safety Analysis with JMP Clinical**

Consolidate your clinical trial workflows by providing interactive reviews for medical monitors, reviewers and writers. This randomized controlled trial case study shows you how!

**Dashboard Building with JMP**

Access and communicate performance information more easily (without coding). This webcast will provide a step-by-step guide on how to set up specially tailored dashboards in minutes.

**Exploring Capability Analysis**

All processes are variable to some degree, but how can you be sure your processes are functioning within acceptable parameters?

**Exploring Your Data With Custom Mapping**

Put data into context with custom maps and selection filters.

**Going Beyond Spreadsheet Analytics With Visual Data Discovery**

Overcome common challenges in selecting and comparing models.

**How to Reduce Costs Through Visual Analysis**

Find the visualization that best communicates the story in your data.

**Improving Your Process With Statistical Models**

Build an appropriate and useful model for process improvement.

**Model Selection for Designed Experiments**

Select your best! Learn how ad hoc model reduction, stepwise regression and effect screening can be used to help you determine the best model for your designed experiment.

**Optimizing Your Process With Design of Experiments**

Use DOE to quickly determine which process changes will yield the greatest gains.

**Tackling Unstructured Data With Text Exploration**

Use Text Explorer in JMP 13 to analyze unstructured, text-based data.

**Understanding Customer Needs With Choice Modeling**

Determine which factors drive customers to choose your product.

**Using Statistical Process Controls to Improve and Monitor Your Process**

Learn best practices for rigorous Statistical Process Control.