What trends should data analysts be paying attention to this year?  From mobile and cloud to visualization and the Internet of things, the CEO and founder of a firm specializing in analytics gives us his list of the five most important movements to watch.
                    
		            
                
                    
                    
                    
                 
            
                
	                
                    
                                        
		            
                    With exclusive survey data and case studies, well-known analyst Cindi Howson shows how highly successful companies are deploying BI for competitive advantage.
                    
			            - By Linda L. Briggs
- January 28, 2014
 
            
                
	                
                    
                                        
		            
                    If IDC's forecast pans out, sales of analytic and big data software will be one of the few bright spots in an otherwise slumping global market for enterprise software.
                    
			            - By Stephen  Swoyer
- January 21, 2014
 
            
                
	                
                    
                                        
		            
                    Watson may give a boost to business intelligence solution developers.
                    
		            
                
                    
                    
                    
                 
            
                
	                
                    
                                        
		            
                    Lyndsay Wise of WiseAnalytics explains the connection between two important business intelligence technologies.
                    
			            - By James E. Powell
- January 21, 2014
 
            
                
	                
                    
                                        
		            
                    Is the news of SQL's demise greatly exaggerated or should we be preparing for a post-SQL world?
                    
		            
                
                    
                    
                    
                 
            
                
	                
                    
                                        
		            
                    Anomaly detection algorithms use machine learning, statistical analysis, and human insight to classify and solve problems hidden within terabytes of data.  The challenge: to react and respond to critical events in real time.