Let's try to define the differences between Social Media Monitoring and Customer Intelligence analysis based on content available on Social Media platforms. Based on the questions I often get from marketing practitioners after the webinars and group speaking engagements, there is a considerable confusion about a difference between SSM and Customer Intelligence methodologies. Customer Intelligence Analytics. Transactional analytics, i.e., how much buzz there is about keyword=XYZ and whether it’s positive or negative. Social Media Monitoring. MORE >>

If you can save 15% on insurance in 15 minutes, then why not improve your analysis by 15% in 15 minutes? challenge all of us who share data with others to take 15 minutes to make a few improvements before we hit the send button for an analysis or report. Here’s the analysis” is not likely to spark my interest to look inside. If it’s a longer analysis, add an executive summary. Why not have a peer take a quick look at your analysis before you distribute it? When we’re so close to the analysis, we sometimes overlook the obvious. Vida Tamoshunas. MORE >>

If you haven’t read it yet, it’s a fascinating book on psychology and decision-making, and highly relevant to those of us who analyze and share data for the purposes of extracting insights and developing marketing actions. Read the book and you’ll find plenty more that will get you thinking about ways to improve your analysis, visualization and communication skills to support decision-making. About the Author: Vida Tamoshunas is the Director of Marketing Analytics at  SIGMA Marketing Group. Vida Tamonshunas. And that brings me back to Kahneman’s book. MORE >>

Adding marketing analytics to the mix improved lead generation results. Here’s a snapshot of the data analysis and recommendations made with the intent to increase the lead generation conversion rate: Added filters to the prospect data to combine any call disposition history, Created metrics that would track and measure lead conversion data, Introduced third party demographics into the data to determine if prospect record prioritization based on predictive modeling could improve their lead generation rates. Paul Raca. million from the lead generation efforts. MORE >>

” But the majority (53%) say they don’t know when they will be investing in solutions that support big data analytics. These findings are from a survey conducted jointly by Teradata Aster , Mzinga , and the  Center for Complexity in Business (CCB) at the University of Maryland  to provide insights into the adoption, use and current state of social business software and big data analytics in businesses. What’s new is that most companies also don’t understand the concept of realtime analytics and have a strategy for investing in the tools to support it. MORE >>