Is governance getting in the way of innovation?


Digitalisation is blasting the cobwebs out from enterprises and organisations of all kinds – freeing them to innovate and take advantage of the always-on economy. But it’s also helping new disruptive players to gain an unexpectedly strong foothold in many markets.

One of the key advantages these new players have is that they're basing their business models on advanced algorithms and APIs (application program interfaces) to make decisions about the services they’ll offer customers – adapting them on the go. In the software developer world APIs are nothing new, but in what’s being called ‘The Fourth Industrial Revolution,’ their use by new and established businesses is what’s creating disruption.

Using APIs allows businesses to be highly agile, particularly in price sensitive sectors. One reason is that they’re largely unhindered by governance – the system of policies, processes and principles that enterprises live by.

However, as the prevalence of data-driven decision-making takes hold in all lines of business, every employee is becoming a data citizen. And this means they’re using more and more advanced analytics to get answers to a whole new series of business questions.

Among these groups, there’s a perception that open source software is a fast, cheap way to develop the analytical capabilities they need to access those insights (or answers) rapidly. Yet one of the biggest hindrances users of open source analytics will soon experience is around governance, specifically in three areas:

  1. Repeatability
  2. Consistency
  3. Data management

So what’s the answer? Halt innovation while governance procedures are retrofitted to analytic processes and data-driven decisions? No, instead it’s a case of ‘let’s change that!’

SAS has the answer to rapid, open, analytical innovation that’s well-governed where it needs to be.

Our new analytics platform, SAS® Viya™, is purpose built to allow organisations of all kinds to maximise the competitive advantage they can gain from open, but controllable, analytics. How? It’s a single cohesive infrastructure, which makes analytics development and use far simpler and easier to manage.

This platform gives you both the freedom to develop analytical capabilities in SAS and open source languages, with the benefit of built-in governance to deliver repeatability and scalability that produces trusted insights at speed and with agility.

SAS Viya: Founded on your needs

This platform has been largely developed based on our customers input. SAS Viya builds on the benefits of SAS 9 which can integrate with — and extend the benefits of — many third-party analytics technologies, including open operating systems like Linux, open data frameworks like Hadoop, and open source languages like Python, Lua, Java and more. However, with SAS Viya, we're significantly increasing openness in three ways:

  1. Expanding the number of available interfaces, including native programming access from SAS, Python, Java, Lua and for generic access, through REST APIs.
  2. Enabling all analytics operations to be processed faster (in minutes) through SAS Viya’s underlying, in-memory, massively parallel processing engine.
  3. Optimising all analytics capabilities with a cloud-ready platform that can be run within any public cloud, private could, or on-premises infrastructure.

I recommend you learn more by reading the full argument about innovation versus governance. You can find it here: Driving the edge of innovation: is there a happy marriage between open source development and governance?


About Author

Peter Pugh-Jones

Head of Operations, EMEA & APAC, Global IoT Division, SAS

Peter Pugh-Jones leads a team of expert industry consultants across EMEA & APAC for the global IoT division at SAS. During a career spanning four decades, he has been lucky enough to have worked all over the world in diverse roles and sectors of the technology and software industries. A passionate believer of utilising the right tools and technology to meet the data and analytical challenges of the present day, Pete or PPJ considers himself a lifelong learner with an optimistic view of the future of technology and the adoption of artificial intelligence to improve quality of life and sustainability. Pete is driven by a sense of responsibility to ensure his customers derive the very best return on their investments in digital transformation technologies. With the convergence of robotics, analytics, artificial intelligence and IoT on the cusp of this fourth industrial revolution, Pete firmly believes there has never been a more exciting or important time to be working in the advanced analytics space as we begin the journey to operationalise AI and transform all our lives for the better.

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