Free Ezine: What predictive analytics pros don't do (but should)
Issues come from ineffective or nonexistent business intelligence (BI) and data management processes. Read this e-zine to discover the issues, as well as practices many predictive analytics pros are neglecting.
Experts share perspectives and identify best practices for big data analytics projects in this Essential Guide.READ MORE ➦
Organizations need to develop data-driven decision-making skills to capitalize on new and emerging big data technologies, attendees were told at this week's MIT Sloan CIO Symposium in Cambridge, Mass. Intuitive decisions are not the path to success when working with the mountains of structured and unstructured information companies are collecting in big data environments, conference presenters said.READ MORE ➦
Learn about business intelligence dashboard design best practices and data visualization trends in this Essential Guide covering the use of data visualization tools in the age of big data.READ MORE ➦
Many analytics professionals have high hopes for big data, but speakers at the Predictive Analytics World conference struck a decidedly cautious tone when discussing the concept as it relates to building predictive models.READ MORE ➦
In the opening keynote session at the 2013 Predictive Analytics World conference in Boston, only two attendees raised their hands when speaker Eric Siegel asked how many people were actively involved in uplift modeling programs. But about half of the attendees indicated the uplift approach, also known as net lift modeling or persuasion modeling, was on their predictive analytics radar screens.WATCH THE VIDEO ➦