SAS Acquires Boemska to Boost its Cloud-Native Vision

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SAS announced that it has acquired Boemska, a provider of low-code development tools and analytics workload management software. The small, privately held company is UK-based with an R&D centre in Serbia. The acquisition will be integrated into SAS Viya, its cloud-native platform, which includes containerised analytics and machine learning offerings. Terms of the deal have not been disclosed.

A SAS silver partner, Boemska has wins in Health, Finance, and Travel. Most of its reference clients are based in Europe in addition to a small number in the US and South Africa. Boemska has two primary software offerings – Enterprise Session Monitor (ESM) and AppFactory. Additionally, it delivers cloud migration, performance diagnostics, and application development services.

Boemska Capabilities

Boemska ESM provides visibility into performance and cost management of analytics workloads. The product enables self-service root cause analysis for developers, monitoring and batch schedule optimisation for administrators, and departmental cost allocation of cloud resources. ESM manages SAS, R, and Python workloads and is compatible with workload management platforms from the likes of IBM and BMC. Boemska shipped an updated version of ESM in 2020 to improve the UI and ensure support for SAS Viya. At the time, it announced that its development team had doubled in the preceding 12 months, suggesting a trajectory of growth.

AppFactory is a low-code development platform for data scientists and data engineers using SAS, which generates JavaScript for front-end developers along with data transport, authentication, and exception handling. SAS emphasises the portability of apps that can be created and run on mobile and IoT devices. Examples provided include machine learning and event alerts in healthcare wearables, video-based defect identification in Manufacturing, and drone-based asset monitoring in Utilities. Boemska states that its low-code offering seeks to bridge the “last mile of analytics” by putting insights into the hands of decision-makers.

SAS Focuses on Cloud-Native Analytics and AI

SAS launched Viya 4.0 in mid-2020, a major step in its vision to become a provider of cloud-native analytics and machine learning solutions. The platform includes offerings, such as Visual Analytics, Visual Statistics, Visual Machine Learning, and Visual Data Science packaged in containers and orchestrated by Kubernetes. Microsoft Azure has become its preferred cloud partner, assisting in developing SAS Cloud, hosted from data centres in the US, Brazil, Australia, and newly launched facilities in Germany and the UK. Viya managed services are also available from Azure regions. AWS and Google Cloud are expected to make the leap to Viya 4.0 from version 3.5 soon. As part of its cloud-native strategy, SAS now offers three tiers for software updates – bi-annual, monthly, or immediately after release.

Ecosystm Comment

The major overhaul of SAS Viya is part of the vendor’s USD 1B investment into AI over three years from 2019-2021. The platform includes a heavy emphasis on NLP, machine learning, and computer vision. The integration of Boemska’s low-code development offering into Viya will allow SAS clients to extract greater value from AI by quickly embedding it in mobile and enterprise applications. The converging trends of citizen developers and data literacy suggest SAS has selected the right path for the future.


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SAS & Microsoft Announce Technology & Go-to-Market Partnership

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5/5 (2) This week saw SAS and Microsoft announce a strategic partnership both in their technology offerings and go-to-market strategy. SAS analytical products and industry solutions will be migrated onto Microsoft Azure as the preferred cloud provider for the SAS Cloud. Microsoft hopes to leverage SAS’ industry expertise, especially in healthcare and financial services. This partnership builds on SAS integrations across Microsoft cloud solutions for Azure, Dynamics 365, Microsoft 365 and Power Platform.

Here is what our Analysts say:

Andrew Milroy - Ecosystm Principal Advisor

To date, the focus of cloud computing has been around providing customers with levels of agility, speed, and scalability that cannot be provided by on-premises solutions. Customers have benefitted from this cloud functionality by being able to provision new services rapidly, pivot swiftly when they need to change their business models and build resilience and flexibility into the ways in which they do business. Today, customers are asking for more. Microsoft has responded to this demand by forming or enhancing cloud partnerships with leading cloud vendors including Salesforce, SAP, Oracle, Workday, ServiceNow and Adobe, as part of an overall strategy to make it easier for customers to choose Azure as their key enterprise foundation, and to offer more functionality.

Across industries, from healthcare to financial services, businesses finally realise the potential value of data. They recognise that the most competitive businesses are those that fully leverage the data that they can access. Businesses want cloud services to offer AI and machine learning capabilities. They want to use these capabilities to become more innovative and more competitive. To do this, these cloud services need to be integrated more tightly with capabilities which Microsoft does not have.

SAS is the leader in data analytics and AI software for enterprises, so it makes perfect sense for Microsoft to partner with the company. Integrating SAS models with Microsoft’s cloud estate, in particular Azure will enable Microsoft to offer its customers more than the typical benefits of cloud services. They can offer their customers intelligent cloud services.

SAS can offer its customers a more comprehensive solution by integrating its AI and machine learning capabilities into the Microsoft cloud estate. SAS and Microsoft will combine their engineering resources to ensure that SAS’ analytics products work well on Azure. A key priority is building an Azure-optimised version of Viya, the cloud version of SAS’ core analytics toolkit. SAS will also look at ways in which it can integrate its software with the native analytics services provided in Azure.

Importantly, companies will create joint solutions across multiple verticals. An example of a joint solution is SAS’ IoT analytics and the Azure IoT platform being used to increase situational awareness of rising stream levels, to predict where flooding might occur, thus improving emergency response.

SAS software will continue to be cloud-agnostic. But, SAS itself will migrate its internal operation and its global cloud business to Azure. The expanded partnership with Microsoft does not impact SAS customers who run on AWS or GCP. But, Azure customers can expect to see benefits over time as SAS and Microsoft work closely on joint solutions.”

Tim Sheedy - Ecosystm Principal Advisor

“The SAS and Microsoft relationship goes well beyond ‘Azure is our cloud hosting platform of choice’. It brings together Microsoft’s leading suite of AI tools and cloud infrastructure and platform capabilities and the leading analytics and intelligent applications provider. Through the combined toolset, every-day applications have the opportunity to become even more intelligent – and the industry-specific intelligent business processes that SAS is known for will be able to be hosted on the cloud, and more deeply integrated into existing solutions and PaaS services. The ability to embed SAS workloads into containers means that a broader user set can access and learn from the analytics that they provide – and automate an even greater number of business and customer processes using the AI and Analytics toolsets from both providers.

It also simplifies the management of SAS software and gives a clear and easy path to the public cloud for SAS customers who have not yet made that transition.

The partnership has the opportunity to further accelerate Microsoft’s transition towards even smarter applications. Microsoft has already been recognised in the market as having one of the better AI capabilities – mostly because of embedding intelligence into existing applications and processes. But Microsoft was never going to be able to provide the intelligence for every process in every industry. This partnership will accelerate Microsoft towards the automation of more processes that are used by customers across the spectrum of sectors and industries – and it obviously extends SAS’ reach beyond their traditional customer base.”

 

 

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