SAS attempts to bridge the traditional analytics and big data/cloud divide

A number of my colleagues and I attended the recent global SAS analyst event to understand the future of SAS’s business and technology strategy. It was clear to me from this event that SAS is attempting to bridge the increasing divide between “traditional” analytics and the big data and cloud-based analytics worlds.

Here’s a few of our key observations and takeaways from the event:

  • A greater emphasis on visual analytics. The range of tools available and the integration capabilities to enable visual analytics will be significantly improved in future releases.
  • Better support for governance and audit. One of the benefits that any decision support system should provide is better business governance – the transparency and auditability of how and why decisions were made and what data was used to make them. SAS continues to make good progress here.
  • A more encompassing view of big data. Most analytic vendors believe either nothing – or everything - has changed in the emerging world of big data. SAS’s view is generally an inclusive one, which will be more beneficial to clients long-term if successfully implemented. The SAS architecture is evolving towards supporting big data economies of scale, in theory at least.
  • Better integration with all forms of cloud technologies. Still operating largely at the OS virtualisation layer, SAS is nonetheless extending its portfolio to include a range of cloud-enabled architectures. We expect that client demand will drive further development here.
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