Unearth the possibilities in your data
Each of these dynamic webinars, recorded in front of a live audience and hosted by some of the world’s premier analytic authorities, offers a deep dive into a variety of data analysis challenges and hot topics.
- Using Experimental Design to Increase Predictability, Optimize Processes and Lower CostsLearn best practices for accelerating learning cycles and reducing costs while tackling complicated challenges with custom DOE.
- Beyond Dashboards: Designing Dashboards That Users Actually LikeUncover the real reasons, far deeper than the visual design, why so many dashboards fail to satisfy users and organizations.
- Marketing in a Digital Age: The Democratisation of AnalyticsThis video provides an overview of the challenges and opportunities that digitalisation provides, and how some real-world companies have responded to these to build competencies in what, for marketeers, may be new and unfamiliar bodies of knowledge.
- Predictive Modelling - From Naive Bayes to Deep LearningThis video focuses on making predictions using classification and deep learning techniques.
- Delivering Value With a New Generation of Reliability Analysis and Survival Estimation MethodsThought leaders Bill Meeker and Chris Gotwalt lead an insightful technical demonstration highlighting trends in the statistical assessment of product reliability that can help you reach maximum productivity in your analyses.
- Using Design of Experiments To Increase Predictability, Optimise Processes and Minimise Costs Learn how a data-driven design of experiments (DOE) approach can accelerate learning while reducing costs in research, development and manufacturing processes.
- Improving Product Reliability With Quality By DesignLearn leading-edge new strategies to improve product reliability in the pharmaceutical industry.
- Statistical Discovery in Quality EngineeringThis webinar teaches you how to pursue the traditional objectives of process control in our ever changing environments of increased automation. Learn best practices for managing large volumes of complex data.
- Doug Montgomery: Optimizing Results With Data-Driven Experimental DesignYou will learn how to get the most from large and messy data, even with missing information and use modern screening approaches to find the right potential drivers of performance.
- Predictive Analytics For Smarter Business Decision MakingJoin Dick De Veaux for a seminar where he will show you how to use interactive and visual data mining techniques using JMP and JMP Pro.
- Optimal Experimental Plan: DOE Experts Peter Goos and Bradley JonesJoin author and University of Leuven Professor Peter Goos and SAS Principal Research Fellow Bradley Jones to learn how to use optimal designs that can reduce the cost of experimentation, accommodate multiple types of factors, and lead to optimal factor settings even when the design space is constrained.
- Bill Meeker and Chris Gotwalt: Improving Product Reliability Thought leaders Bill Meeker and Chris Gotwalt lead an insightful technical demonstration highlighting trends in the statistical assessment of product reliability that can help you reach maximum productivity in your analyses.
- David Meintrup, Peter Goos and Volker Kraft: Fostering Innovation by Spreading Analytical Capability Learn how interactive data visualization supports the process of training, teaching and learning statistics in the workplace and classroom.
- Reproducible Experimentation for Diagnostically Driven Drug ResearchMatt Wongchenko and Russ Wolfinger discuss strategies for leveraging data and statistical tools to achieve better, reproducible science.
- Modern Clinical Monitoring And Quality By DesignLearn the Impact of regulatory guidance on Analytics, the Modern Techniques in Clinical Trial Monitoring and how to use QbD to increase clinical understanding.
- Make Your Experiments Count: DOE Expert Bradley JonesJoin author and SAS Principal Research Fellow Bradley Jones to learn how to use optimal designs.
- Best Practices for Building Quick and Useful DashboardsSee a complete workflow for building dashboards, from data access and cleanup to model-building, data visualization and sharing.