Merriam-Webster defines an anomaly as “something different, abnormal, or not easily classified.” In data science, anomalies usually create a need to research more comprehensive contextual databases to understand the root cause--in other words, a lot of
(The Facts About User Behaviors You Can’t Miss — Blog 5 of 5)
In our last blog, we looked at data analysis on generational preferences and consumer behavior patterns for Generation X and Generation Y (more commonly known as Millennials).
Generation Z, however, is a bucket all its own mainly because a significant portion of this demographic is still too young to be independent consumers of tech and other products and services. But with the growing power of predictive and Augmented Analytics, early user behavior
(The Facts About User Behaviors You Can't Miss - Blog 1 of 5)
Mobile apps are estimated to create $189 billion in revenue this year, so what do businesses need to know today about emerging mobile trends? What a company knows today will affect how effective a business’ strategy is tomorrow, from marketing to application software development.
(Before & After Augmented Analytics - Blog 1 of 4)
In the last decade, the education industry has gotten a reality check: the system had seen virtually no significant innovation since the old schoolhouse days. Teachers, with the few classroom resources they had, administered “one-size-fits-all” lessons that didn’t cater to students’ individual different learning styles or skill levels--and were often presented in the same non-interactive way they had been since school’s earliest days.