Wednesday, August 12, 2015 | 
               
              
                
                    News Highlights
                    
                    
                      
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                          Michael Schiff
                          Although advances in technology have 
dramatically improved our ability to analyze and mine vast amounts 
of data, we must remember that the quality of our predictions is 
directly dependent on the quality of our data. 
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                          Linda Briggs
                          Too many companies think that hiring an 
expensive data scientist is the first step in building a predictive 
analytics practice. Not so fast, counsels a highly experienced 
industry veteran, consultant, and trainer with The Modeling Agency, 
Keith McCormick. 
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                          Quint Turner
                          Online articles of interest in the last 
week include a focus on IT's ETL burden, artificial intuition, 
worry-free endpoint data migration, and benefits of data 
visualization. 
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                          Fern Halper
                          
                          As TDWI's analysts prepare their latest 
Best Practices Report, some points are very clear.  Read about the 
benefits and barriers to the latest in emerging technologies and 
methods and the role open source plays in them. 
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                        TDWI Webinar Series:
                        
                          
                          Speaker: 
                          Fern Halper
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                         This Webinar will provide an overview of 
predictive and other advanced analytics, trends in predictive 
analytics, and what it all means for the business analyst, including 
an overview of predictive and advanced analytics, trends in 
analytics and advanced analytics, and the skills needed to perform 
analytics.  | 
                       
                     
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Upcoming Webinars of Interest
                  
                    
                      
                      
                       
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                         In this Webinar we examine the issues of 
complex enterprise data integration, especially as more (and larger) 
data sets are needed. We'll explain how a service-based approach 
using cloud-based data integration can ease the development and 
sustainability of data integration without imposing additional 
constraints on the enterprise. Attendees will learn about increasing 
system and data integration complexity, multi-point complex data 
integration challenges, and how to develop a partner-based data 
integration strategy. 
                        Speaker: 
                        
                        David Loshin
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                       Register 
Now 
 
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                         Data management professionals want to 
integrate data creatively and comprehensively to serve an evolving 
array of business purposes, but the complexity of today's multi-
platform data ecosystems makes it difficult to draw a big picture of 
the available datasets, plus relationships among them and flows 
across them. This Webinar will help you understand how to draw that 
big picture. 
                        Speaker: 
                        
                        Philip Russom
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                         Register 
Now 
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                Events Calendar
                  
                    
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                      August 24 - 27, 2015
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                      Seminar in Seattle // Data Mining and 
Visualization: A Hands-On Experience
                         Seattle, WA 
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                      Learn More / Register Now
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