SAS Data Analytics Introduction
SAS Data Analytics more than twice that of our nearest competitor in SAS with a commanding 33 % market shares in advanced. We know it’s not just how advanced the technology is that matters because we dominate the market. Cutting-edge, innovative algorithms with our advanced analytics software is infused that most intractable problems can help you solve even your.
SAS Data Analytics Job Support
Analytical talent is in high demand. Differentiate yourself by earning world-class certification in big data, advanced analytics and data science from SAS, the leader in advanced big data analytics. Sharpen your skills and validate your expertise at the SAS Academy for Data Science. And become the go-to expert who not only talks data science, but actually does it.
Analytics is a process of continuous learning and improvement, creating valuable insights and providing answers. Data Analysts provide business solutions to organizations by applying statistical/mathematical rigor to large data. In industry parlance they are on the ‘Predictive Analytics’ part of the Analytics cycle providing inputs such as ‘What will happen next’, ‘What’s the best that can happen’, and ‘How best should it be done’.
Data Analytics is all about sophisticated quantitative and qualitative analysis and predictive as well as prescriptive modeling used towards building competitive strategies based on data-driven insights that in turn generate impressive business results. Exemplars of analytics are using new tools to identify their most profitable customers and offer them the right price, accelerate product innovation, optimize system performance, and the true drivers of financial performance. Data analytics aroused on a strong foundation by bringing together a diverse body of knowledge from applied statistics, applied mathematics, computer science, optimization, consumer behavior, risk management, operations research and decision theory.