Decision optimisation with SAS
At a recent media briefing, analytics company SAS, reiterated their comprehensive service offerings across multiple industries in the market. In essence, they presented that they are well-known for delivering high-quality solutions that help organisations improve their operations, optimise decision-making processes, and gain valuable insights from their data.
At least in Malaysia’s banking and insurance sectors, SAS provides compliance solutions, stress testing, and fraud and risk management. These solutions help organisations comply with regulations, manage risks, and prevent fraud, according to Queenie Wong, SAS’ Director of Customer Advisory.
In the government sector, SAS offers solutions that focus on for improving citizen services. These solutions are in the areas of taxation, customs, law enforcement, infrastructure and transportation, defense and national security, and healthcare. These solutions help governments deliver better services to their citizens, improve their efficiency and effectiveness, and enhance public safety and security.
One example Queenie cited was the Jakarta Smart City initiative, whereby they contributed towards the initiative’s Knowledge Management for Flood Control System by integrating and working with the city’s public safety agency, next-generation emergency services, and IoT (Internet of Things) sensors.
Platform approach
SAS Viya is a powerful platform that allows organisations to develop models and make intelligent decisions. With SAS Viya, organisations can create and manage complex analytical models to optimise decision-making processes. SAS also works with their customers to integrate their solutions with existing technologies, and they collaborate with open source projects.
One of the key focuses of SAS is data consumption. They help organisations collect, manage, and analyse large amounts of data to gain valuable insights. They provide solutions for customer intelligence, ESG reporting, and IoT data orchestration.
That being said, Queenie opined that, a lot of the time organisations focus so much on data consumption and building the perfect algorithm model, that they neglect getting the data out to the right people.
“So, what we have done is getting that decisioning (process) automated, so that the decision of the data moves across different platforms.”
This means being able to consume it, being able to take the data from external sources for example and then making it actionable for some other process in some other platform, and in real-time.
“That’s where the automation of the decision comes in, and we are proud to say this is our competitive advantage,” said Queenie.
Investment in R&D
SAS heavily re-invest their revenues into researching and developing new technologies and applications for their clients, as being privately owned affords them this luxury. Artificial Intelligence and machine learning are two areas that SAS focuses on, to enhance their solutions’ efficiency and effectiveness.
Queenie emphasised that SAS has a strong reputation for excellence in the areas of risk and compliance, and their solutions are used by many organisations worldwide, which is reflected in the many accolades they have received from various research companies.
In summary, SAS offers a wide range of services that help organisations across multiple industries improve their operations, optimise decision-making processes, and gain valuable insights from their data. The company also collaborates with open source projects to ensure that their solutions are compatible with popular open source tools and technologies, as well as work seamlessly with existing technologies by working with other technology providers.
