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			            - By David  Loshin
- May 20, 2016
 
            
                
	                 
                    
                                        
		            
                    Learn how new tools for data mining are creating more efficient insights, how sentiment analysis will transform marketing, and how to protect your enterprise on the Internet of Things.
                    
			            - By Quint  Turner
- May 20, 2016
 
            
                
	                 
                    
                                        
		            
                    Articles today explain when it’s time to swap out a legacy BI system and how to establish business needs before choosing a popular new solution.
                    
			            - By Quint  Turner
- May 19, 2016
 
            
                
	                 
                    
                                        
		            
                    Transitioning to agile development methods can be easier said than done. One way to facilitate the transition is to schedule "spike" stories for planning and discovery.  
                    
		            
                
                    
                    
                    
                 
            
                
	                 
                    
                                        
		            
                    Basketball shots, comparing mortality rates, and the Panama Papers are the highlights of data visualizations this week.
                    
			            - By Lindsay  Stares
- May 18, 2016
 
            
                
	                 
                    
                                        
		            
                    Learn the major barriers to implementing real-time analytics, why data governance policies are key to implementing big data, and how to use better data security policies to restore employees’ trust
                    
			            - By Quint  Turner
- May 18, 2016
 
            
                
	                 
                    
                                        
		            
                    Microsoft's latest customer reference for its Azure Machine Learning service is a showcase example of IoT analytics at work. 
                    
			            - By Steve  Swoyer
- May 18, 2016
 
            
                
	                 
                    
                                        
		            
                    Effective data preparation depends on recognizing how to handle what we know and what we don't know about a set of data. Our goal as analytics professionals is to make less unknown and more known.
                    
			            - By Troy  Hiltbrand
- May 17, 2016