Sas Version 9.0 Hot! Access

The release of SAS 9.0 solidified SAS Institute’s position as a leader in business intelligence (BI) and analytics.

These performance gains were not just theoretical. Early testers, like GE Card Services, reported significant real-world improvements. According to Joel Wycoff, head of GE's information management center, "large-scale data sorting and summarization tasks run 18% and 27% faster, respectively" under the new system.

It formed the foundation for data validation in numerous academic studies published in the mid-2000s. Conclusion Sas Version 9.0

The year was 2004, and the halls of SAS Institute were buzzing with the energy of "Project Mercury." For years, SAS had been the powerhouse of the back office—the domain of seasoned statisticians who spoke in the cryptic tongue of semi-colons and DATA steps. But with the launch of , the world of data was about to get a major facelift. The Dawn of "Project Mercury"

/* Create sample sales data / data sales_data; length Product $15 Region $10; / Explicit length for character vars */ do Year = 2001 to 2004; do Region = 'North', 'South', 'East', 'West'; do Product = 'Widgets', 'Gadgets', 'Doohickeys'; Units = int(ranuni(0) * 1000 + 200); Price = round(ranuni(0) * 50 + 10, 0.01); Revenue = Units * Price; output; end; end; end; run; The release of SAS 9

The 2004 release also enhanced customer relationship management (CRM) capabilities, strengthening SAS Interaction Management. Historical Impact and Legacy

By bridging the gap between hardcore data programmers and business decision-makers, SAS 9 locked in the company's dominance in highly regulated sectors like banking, pharmaceuticals, and government insurance for the following two decades. Legacy and Beyond According to Joel Wycoff, head of GE's information

Understanding SAS Version 9.0: The Evolution of Business Intelligence

proc print data=summary_data noobs label; where type = 3; /* Region*Product combinations */ var Region Product TotalUnits TotalRevenue AvgUnits AvgRevenue; format TotalRevenue dollar12.2 AvgRevenue dollar10.2; label TotalUnits = "Total Units Sold" TotalRevenue = "Total Revenue" AvgUnits = "Average Units per Year" AvgRevenue = "Average Revenue per Year"; run;