What will be the future of SAS
SAS is the leader in business intelligence and analytical software and services. SAS helps organizations anticipate and optimize business opportunities. SAS is an industry standard in the pharmaceutical space, so there are quite a number of SAS programmers and statisticians employed by the various kinds of companies (Labs, CROs, Sponsors, and so on) that deal with that kind of work. Given that there seems to be a shift towards better utilization of the massive amounts of clinical and research data these companies already have, there’s definitely value for them in an employee being versed in SAS.
In particular, clinical trial data submitted electronically to the FDA is required to be in SAS XPORT dataset format, and a significant portion of the various other data interchanges that go on between these companies is also done in SAS. Since these companies rarely work with data in the same format and SAS programmers are employed to perform ETL processes, etc.
The level of demand for SAS programmers and statisticians currently is very good. Most of the SAS programmers worked with or seen the work of do things very differently than as someone coming from a general computer science background, preferring to stay within SAS even another tool would be more suited for the task.
Who’s right in those cases is entirely subjective and irrelevant, but SAS is “just another language” that you learn; it’s generally more of a different mindset. Surely there are people that get along just fine in SAS and in Java or Python or C#, but if nothing else it certainly lacks similarity with these languages, and that’s an important thing to consider.
If you truly want to be a SAS programmer, there’s no damning reason not to get into that line of work, but also don’t think that it’s something one should do just because there’s a lot of positions available in the market. Only SAS offers leading data integration, storage, analytics and business intelligence applications within a comprehensive enterprise intelligence platform.
Moreover increasingly organizations are turning to statistical analysis software to guide decision-making processes. Using optimal statistical techniques can provide new information that improves processes, drives development and revenue, and helps you retain valued and satisfied customers. The future is all about engagement, agility, and execution. And, what a future it is during the keynote is first looks at some amazing technology with some amazing business implications :
- SAS going mobile by displaying reports and tailored dashboards on the iPad / iPhone / BlackBerry
- An integrated approach to analysing, interpreting, monitoring, and forecasting sentiment and social media discussion
- Massively parallel supercomputing, reducing job execution times on simulation and optimisation from over 18 hours to less than minutes
- Geo-spatially-based visualisation integration into social network analysis