Live Webinar January 27th, 2016 1:00 PM – 2:00 PM EST
Duration: 1 Hour Credits: 1 PDU Category C Free
Presented by : O’Reilly

Successful data science and analytics projects should focus on the explanation and delivery of business impact – this requires strong collaboration between business analysts and data scientists.

Preparing rich representative data is important, but data discovery and predictive analytics are equally valuable – they enable team members to quickly evaluate which events are drivers or inhibitors of success [?], and to predict future outcomes.

• Throughout the course of a project, how can business analysts stay focused on the most important details?
• How can data scientists prototype and operationalize models in a quick, productive, and easy-to-use manner?

In this webcast, we will use SAS Visual Analytics and SAS Visual Statistics to teach you how to:

• Quickly identify predictive drivers
• Discover outliers by using interactive tools
• Use drag-and-drop features to build predictive models
• Simultaneously build models and process results for each group or segment of data
• Visually explore your predictive outputs or values
• Compare your models and apply them to new data

Presenters:

Wayne Thompson (LinkedIn profile) is the Chief Data Scientist at SAS and a globally renowned presenter, teacher, practitioner and innovator in the fields of data mining and machine learning. He has helped harness analytics to build high-performing organizations. With over 20+ yrs at SAS he has been credited with bringing to market landmark SAS® Analytics technologies (SAS Text Miner, Credit Scoring for SAS® Enterprise Miner™, SAS Model Manager, SAS Rapid Predictive Modeler, SAS Scoring Accelerator for Teradata, SAS High-Performance Data Mining and SAS Analytics Accelerator for Teradata). Currently his focus is on initiatives for easy-to-use self-service data mining tools for analysts, outlier detection & description, entity analytics, & recommendation engines with a heavy focus on SAS analytics optimized for Hadoop.

Tapan Patel (LinkedIn profile) is Product Marketing Manager at SAS. With over 15 years in the enterprise software market, Patel leads global marketing efforts at SAS for Business Intelligence, Predictive Analytics, and In-memory Analytics.  Tapan works closely with customers, partners, industry analysts, press/media, and thought leaders to ensure that SAS continues to meet customer requirements and deliver high-value solutions. Prior to SAS, Tapan worked with HAHT Commerce, Inc. (now GXS) in roles involving product management, market research and competitive intelligence functions.

PDU Category C (PMBOK 5) documentation details:
Process Groups: Planning Executing
Knowledge Areas: 4 – Integration 5 – Scope 6 – Time

• 5.2 Collect Requirements
• 5.3 Define Scope
• 13.1 Identify Stakeholders

As a Category C, ‘Self Directed Learning’, activity remember to document your learning experience and its relationship to project management for your ‘PDU Audit Trail Folder.’

PDU Category C (PMBOK 5) documentation details:
Process Groups: Planning Executing
Knowledge Areas: 5 – Scope 6 – Time 10 – Communications

• 4.2 Develop Project Management Plan
• 5.2 Collect Requirements
• 5.3 Define Scope

As a Category C ‘Self Directed Learning Activity’ remember to document your learning experience and its relationship to project management for your ‘PDU Audit Trail Folder’

Click to register for:
Deliver Business Impact: Practical Approaches To Interactive Data Discovery & Predictive Analytics