To begin with, the computer industry has been around for more than thirty years. Its most significant contribution has been in the area of information processing. It also enabled businesses to become more efficient in their processes and improve overall productivity. Since then, computers have been integrated into the computer industry and in addition computer science as well.
Of course, there is a problem with statistics: how can you make sense of them in order to make sense of the business? Of course, people were not all created equal; people had different personality and abilities. Therefore, businesspeople needed to use the best resources available to process data effectively. SAS statistics is a database that lets business people do just that: process data effectively.
The ability to find the answer to an issue with the right information was the first step in the world of SAS statistics. The purpose of SAS is to provide analysts with the ability to find answers to many business problems. The ability to develop reports and mathematical formulas was a part of the product that came along with the product of the computer industry. This was a big benefit to people who wanted to analyze data to answer questions, make predictions and provide business with better options.
The main role of SAS statistics was to find answers. The database functions of the product used their basic capabilities in order to find solutions to questions. In addition, they used special techniques and programming languages to provide the final results. They could do some kind of transformations before transforming the raw data in order to get the best possible results.
The process of statistical analysis has never really changed. People in the industry still need to do the same kind of analysis. The general trends, the accounting data, the historical data all play a role in the effectiveness of the whole project. When people analyze these areas of business, they are able to figure out patterns that may be difficult to determine with just general data. Statistics can only give a part of the picture; people must also know how to translate these numbers into a way that a person can interpret it.
Statistical reporting and proc continue to evolve. Statistics are important and the way to use them is through price, but once you understand the basic concepts, statistics will not be a problem. Statistics can not determine how a project is going to go. Statistics only give a snapshot of the project at that time, but do not indicate what is likely to happen.
As the industry matures, so will the use of SAS in the business world. While there are no plans to change the process of price, reports and SAS analysis will be the area of focus. It will be interesting to see where this goes.
The other problem with the products of the computer industry that SAS statistics provides is that they can be applied in other ways than just for statistics. The concept of data transformation has not changed and data can be transformed before being interpreted into something that makes sense. It is the information that has to be converted that has always been a problem. If the information has to be transformed before it can be understood, then people cannot use the reports from SAS statistics.
Using data transformation tools such as Transact and the SAS PROC language will help the business people understand what the data means in the best possible way. The words that have been placed into the PROC can tell you how the data will be interpreted. The PROC data is only a starting point and if they do not understand what the data means, then it will be difficult to use the PROC language and the PROC will not be of any use.