Openness: SAS Embraces Open Source to Deliver an Integrated Enterprise Analytics Platform
Open Source software has grown in prevalence and importance over the years. Once the preserve of academics and online communities, it is now increasingly regarded as a valid option for businesses’ capability to deliver insight. In what is an increasingly competitive analytics market, the appeal of Open Source software lies in its accessibility, perceived costs, open source code and availability of skills. This poses many challenges to organisations who are divided over what direction to take. With analytics skills at a premium, it’s never been more important to make the right choice.
In our recent blog, “Modernise Your Analytics to Maximise Returns”, Openness was identified as one of the key aspects of moving forward your analytical capabilities. Through Amadeus’ services, we manage the proliferation of languages, data and other analytics objects in your business by making SAS the central platform for analytics. Specifically, a single accountable analytics platform where the language your analysts choose fits their skills, such as SAS, R, Python, Java and others.
So, what do we mean by Openness? The SAS platform architecture enables popular Open Source technologies like Python and R to be used within a SAS environment side-by-side with SAS’ proprietary data processing and analytics capabilities. Python programmers are now able to develop and execute code using SASPy. R programmers work from their familiar environment and execute against SAS via R-swat. SAS also allows R packages to be called from SAS Enterprise Miner and SAS/IML.
Why is this important? Why should we drive this level of integration from our SAS platform? Well, let’s consider the benefits SAS provides as an Enterprise class analytics platform. SAS offers scalability as an organisation needs to change and adapt, from both a data and distributed computing perspective. The flexibility to securely manage data hosted in different formats and use SAS’ extensive analytics, reporting and visualisation capabilities to gain insight from this data is proven and provides SAS with its reputation as a leader in the analytics market. Providing governance, i.e. the ability to demonstrate what programs depend on and produce what data, by who, when and that those analysts are only authorised to access appropriate data – is applicable to any organisation processing customer or financial data.