Learn Business Analytics in Six Steps using SAS and R

A decade ago, business analytics was a little-known career choice. With the drastic dip in data storage costs and the huge increase in data volumes (projected to hit 40 zettabytes in 2020), the CXO and modern manager now need analytics to make informed decisions at every point. But how can business turn this data into useful information in a reasonably fast turnaround-time? Because only if the information is available to management at the correct time will the business make the correct decisions. For this we need business analytics - loosely described as doing statistics on large volumes of data - to arrive at conclusions and models that will aid business decision making.§§Learn Business Analytics in Six Steps using SAS and R teaches you how to apply analytics to business problems using two very popular software tools, SAS and R. SAS is licensed software that is very popular in the sectors which have regulatory supervision (banking, clinical research, insurance etc.). R is open-source software that is very popular in the sectors without regulators--marketing, market research, customer service optimization etc. So no matter your industry, this book will provide you with the knowledge and insights you and your business partners need to make better decisions faster. Further, it teaches you new skills in analytics through the DCOVA and I" (Define, Collect, Organize, Visualize, Analyze and Insights) process. You no longer need to choose between the two most popular software tools; as this book shows, it puts the best of both worlds - SAS and R - at your fingertips to solve myriad problems, whether relating to finance, web usage, product development, and any other business discipline.§§In the world of business analytics, teams working on SAS and R are often different but, for increased mobility, people who can use both tools are the kings of the analytics world. They are the talent which everyone wants, but few have. Reading Learn Business Analytics in Six Steps using SAS and R and putting its principles and methods to work will therefore increase your value, both in the organization you work for and in your own career.§§