Increasing Efficiency & Detailing in Analysis of Market Trends using SAS
Ruby Singh1, Chiranjit Dutta2, Ranjeet Singh3
1Ms. Ruby Singh, Faculty of Information Technology, SRM University, NCR Campus, Modinagar, India.
2Mr. Chiranjit Dutta, Faculty of Information Technology, SRM University, NCR Campus, Modinagar, India.
3Mr. Ranjeet Singh, Faculty of Information Technology, SRM University, NCR Campus, Modinagar, India.
Manuscript received on August 16, 2015. | Revised Manuscript received on August 29, 2015. | Manuscript published on September 05, 2015. | PP: 40-45 | Volume-5 Issue-4, September 2015 . | Retrieval Number: D2684095415 /2015©BEIESP
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©The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/
Abstract: In the fast moving world and changing scenario of market (Business) there is need for improving and updating at every point of time, in order to obtain maximum and exact output companies need detailed data to work on hence this paper involves researching on increasing the efficiency so as to obtain better and exact prediction for the product to be used. The SAS System of software provides a wide variety of tools for analyzing market research data. Everything from simple summary analysis to advanced statistical and graphical techniques is available. Users holding different levels of expertise in both software and market research methodologies benefit from these tools. This project briefly discusses some of the methods available in the SAS System and will examine a case study of a current SAS software user, see how they have implemented their market research applications and increase the efficiency in prediction of aspects related to products. SAS ®is widely accepted as the gold standard for determining safety and efficacy for clinical trials, and it provides the primary mechanism for preparing data for traditional clinical research analysis activities. However, most SAS users in the biopharmaceutical industry are unaware of the broad range of SAS analytics that are widely applied in other industries. This paper discusses and describes how SAS business and advanced analytics can be used to design Better trials, forecast patient-based activities, and optimize other operational processes. Applying business and advanced analytics to clinical trial operations represents a new and improved approach to reducing the cost and time associated with managing clinical research projects. As a result, the roles of SAS experts in the biopharmaceutical industry are expanded.
Keywords: SAS, BI-Tools, Market-Research.