With a background in data management and analytics, Jennifer has aided SAS’ leaders and external customers in strengthening their business by strategically transforming their current systems into intelligence-generating solutions using advanced analytics techniques and data management best practices. Jennifer has worked with clients across various industries to find creative designs and solutions to meet their evolving business needs. Jennifer holds Bachelor’s degrees in Computer Science and Textile Engineering as well as a Master’s degree in Advanced Analytics from North Carolina State University. Follow me on Twitter! My username is @JenniferNenadic
I read an interesting article recently that suggested analyst and data scientist job positions may be on the way out. The author argued that analytics are being incorporated more and more heavily into operational systems, making “analytic capabilities” more readily accessible to business users without the involvement of a data scientist. Being a data
Analytics as it pertains to the employees and the workforce is taking the industry by storm. Recently, I read an article in the Wall Street Journal about how companies are harnessing the power of analytics to help them identify staff who are likely to leave. In the past few weeks
With so much information available about high-performance analytics, business intelligence and visual analytics, it can be difficult to know exactly where to begin, especially if you don’t have a team of statisticians standing by. I'm frequently asked by customers who hope to take advantage of analytics how to get started. How do
As a data scientist, I have the rare privilege of possessing the job title that Tom Davenport and others have dubbed the sexiest job in the 21st Century. As this popular job title catches on, I’ve even noticed a trend where customers make direct requests for help specifically from “the data
