JMP gradation

Statistics, Predictive Modeling & Data Mining Info Kit

Describe. Compare. Predict.

Uncover hidden relationships in your data for more informed decision making. You’ve already mastered data collection and analysis; it’s now time to take the next step. Find out how to challenge assumptions, spot patterns and reveal potential solutions to problems that otherwise would not be visible.

The statistical discovery paradigm of JMP offers the intrinsic synergy between visualization and modeling. No matter what the shape and size of your data, so long as it fits in memory, JMP will allow you to get the most from it, whatever your current level of statistical expertise.

Register for our complimentary info kit to learn more.

Stairstep graph

This info kit includes:

Introductory Webinar
Better building models

Building Better Models

Learn how to address common challenges in selecting and comparing models, including how to identify a useful model and avoid overfitting.

Thought leader interview
Dick De Veaux

Analytically Speaking

Author and professor Dick De Veaux explains data mining methodology and its application to problems in science and industry in this recorded webinar.

Case Study
Berry, Michael J. A.

Data Exploration in Preparation for Modeling

Michael Berry, Business Intelligence Director at TripAdvisor for Business, explores the house file of a catalog retailer in preparation for building response models and segmenting customers.

Customer Story
 Lufthansa model airplane

Lufthansa improves the quality of its flight scheduling

Learn how Europe’s largest airline uses statistical modeling to match services with passenger preferences.

Get the info kit. Register now.
  Please subscribe me to JMP Newswire, the monthly newsletter for JMP users.
  Yes, you may send me emails occasionally about JMP products and services. I understand that I can withdraw my consent at any time by clicking the opt-out link in the emails.

JMP is a division of SAS Institute Inc. and your information will be handled in accordance with the SAS Privacy Statement.


Back to Top