Online Program

The workshop includes a required pre-evaluation of your oral communication skills, which is completed in advance of the conference. Participants give spoken responses for 30 minutes in an on-line interface, where they perform a series of job-related communications tasks. Their responses will be scientifically analyzed, and each participant receives a 25-page personal analysis report (with metrics on intelligibility). The report will alert the participants to their development needs in accent and communication, and it will give them extensive guidance in how to continue the process of skill-building after the workshop. The workshop content may be adjusted to meet the aggregate group needs that are revealed by the pre-assessment.

The workshop uses a methodology that will benefit professionals of any language background and proficiency level. While some changes to accent and speaking style can be made in one day, participants should expect to devote time to daily exercises in the weeks after the conference, to reinforce the habits of clear speech.

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GLIMMPSE is able to calculate power and sample size for tests of means in longitudinal and multilevel designs, whether cast as a mixed or multivariate model. We demonstrate the use of GLIMMPSE for two designs 1) a longitudinal study of a sensory focus intervention on memories of dental pain, and 2) a multilevel and longitudinal trial of a home-based program designed to reduce alcohol use among urban adolescents. A wizard format graphical user interfaces guides users through describing the study design, selecting the hypothesis tests, and choosing a covariance pattern. Many complicated covariance structures can be constructed by layering simpler patterns. For each example, we provide a step-by-step tutorial illustrating how to use the GLIMMPSE software and how to interpret the results.

Learn how to take advantage of in-memory technology to reduce the time and cost involved in performing predictive analysis against vast data volumes. You can design predictive models and visualize, discover, and share insights – and do it in real time by harnessing the power of SAP HANA combined with SAP Predictive Analysis.

We will demonstrate the power of SAP Predictive Analysis running on HANA by showing a customer segmentation example. Customer segmentation is of critical importance across a number of industries where one needs to identify groups of like customers for product recommendation, customer service, or risk management. Running an automated segmentation or clustering algorithm is a computationally demanding task that can often take hours to run. We will show how segmentation of a 10.5 million loan portfolio can be performed using a K-Means algorithm in a matter of a couple of minutes instead of hours or days on traditional disk-based predictive systems.

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For the purposes of this discussion, please note that the conference was designed to aid applied statisticians in improving their abilities in consulting with and helping customers and organizations solve real-world problems. Specific attendee objectives include: 1. Learn statistical techniques that apply to your job as an applied statistician 2. Learn how to better communicate with customers 3. Learn how to have a positive impact on your organization

Additional feedback on additional objectives and needs of practicing statisticians, and how these can be best accomplished in the future, is also welcome. Refreshments will be provided at the close of the session along with a raffle of prizes.