How SAS enables banks to deliver better Risk Management
Sankhyana Consultancy Services Pvt. Ltd.
Data Driven Decision Science
What is SAS?
It is a programming language for statistical analysis that is helpful for data mining and related data in a variety of sectors and companies. Statistical Analysis System is what handle SAS stands for. It offers outcomes for predictive analytics and multivariate analysis.
SAS is the name of a statistical program that is mostly used for data management, analytics, and business intelligence. SAS is an acronym for the C programming language and stands for Statistical Analysis System. The majority of operating systems make use of SAS. SAS will be utilized as both a graphical user interface and as a programming language. It was created by Anthony James Barr and can read data from databases and spreadsheets. Tables, graphs, and documents will be provided as the output. In addition to being used to conduct SQL queries, SAS is also used to report, retrieve, and analyze statistical data.
SAS in the Banking Sector: Benefits
SAS is a valuable and essential tool for financial accommodations. SAS offers the following advantages to banking facilities:
Better risk management, stronger customer relationships, a clear competitive differentiator, and higher profit margins are all desirable outcomes.
Financial institutions throughout the globe are attempting to recover from the biggest financial crisis in more than 70 years while also attempting to prevent future crises. With more than three decades of experience in the banking and financial services sector, SAS can help you habituate your business models to energize your company, accomplish your most important strategic goals, and adhere to constantly changing governmental laws.
SAS aids the banking sector in a variety of ways, including the quick computation of risk metrics and management of complicated portfolios of financial instruments. stronger capital planning and risk management processes.
It supports the enterprise-wide detection, mitigation, and prevention of financial crime risk.
Each stage of the client journey will require a unique form of communication.
Real-time detection while minimizing false positive cases
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Streamline mistakes and combine internal and external sources
greater value via faster data analysis at lower operating costs
How SAS Delivers Better Risk Management
Only SAS delivers comprehensive risk solutions, AI and regtech technologies, and best practices that help you balance short- and long-term strategies, improve financial performance and build a risk-aware culture throughout your organization. With SAS, you can reduce the time and cost of compliance by ensuring data consistency, transparency, and complete traceability.
Regulatory risk management
Ensure efficient credit risk analysis with timely, accurate RWA reporting and regulatory capital optimization. Comply with Basel III/IV requirements for credit risk analytics. Create a consolidated data, modeling, and reporting infrastructure for measuring and reporting on credit and counterparty risk.
Capital planning
Reduce stress testing cycle times so you can focus on higher-value activities. Uncover opportunities and risks with powerful tools and reporting capabilities that expedite capital planning. Go beyond supervisory stress testing to anticipate the path ahead and prepare for the unexpected. Improve transparency and auditability with flexible workflow automation and embedded controls. Introduce new models, methodologists and scenarios as needs change.