SAS has more than 40,000 customers worldwide and has the largest market share in advanced analytics. It has been tagged a 'leader' in advanced analytics platforms for the last several years. SAS is used as a prime tool in the finance (BFSI) and clinical research domains for data analysis and predictive modeling due to the following reasons:
Data Security - Due to unmatched data security offered by SAS software, it is leading the analytics software industry in the BFSI sector.
Tech Customer Support- SAS is offering one of the best tech support. If you are struck in something related to SAS, whether it is an installation-related issue or clarity in any of the SAS functions and procedures; they have both online and offline community to support you.
Memory Management - SAS can store data sets on hard disk and process larger data set than the size of your RAM.
Stable Software more important than the cost of software license: All the functions and procedures of previous versions of software are supported in the newer versions of SAS. The cost of software license is a peanut to a bank or pharmaceutical company.
Legacy System- Most of the banks have been using SAS for last 20-30 years and they have automated whole process of analysis and have written millions of lines of working code. To convert all stable reporting system from SAS to R/Python, it would take considerable additional cost.
Data Security - Due to unmatched data security offered by SAS software, it is leading the analytics software industry in the BFSI sector.
Tech Customer Support- SAS is offering one of the best tech support. If you are struck in something related to SAS, whether it is an installation-related issue or clarity in any of the SAS functions and procedures; they have both online and offline community to support you.
Memory Management - SAS can store data sets on hard disk and process larger data set than the size of your RAM.
Stable Software more important than the cost of software license: All the functions and procedures of previous versions of software are supported in the newer versions of SAS. The cost of software license is a peanut to a bank or pharmaceutical company.
Legacy System- Most of the banks have been using SAS for last 20-30 years and they have automated whole process of analysis and have written millions of lines of working code. To convert all stable reporting system from SAS to R/Python, it would take considerable additional cost.