Sas Institute Inc.

Streamline the data mining process to develop models quickly. Understand key relationships. And find the patterns that matter most.

Enable everyone to work in the same integrated environment – from data management to model development and deployment.

Monitor multiple processes and integrate a wide variety of data to get a complete picture of your quality improvement environment. SAS/QC operates on virtually any data source and runs across most computing platforms. Our quality control software enables you to maintain consistent standards and use all information collected to make better decisions.

SAS/STAT includes exact techniques for small data sets, high-performance statistical modeling tools for large data tasks and modern methods for analyzing data with missing values. And because the software is updated regularly, you'll benefit from using the newest methods in the rapidly expanding field of statistics.

Simple syntax and an extensive function library make it easy to translate mathematical formulas into statistical programming statements. You can implement custom analyses for a variety of applications and even build your own module library. Share your programs and libraries by writing packages, and download programs written by others.

Your data scientists and statisticians can act on observations at a granular level using the most appropriate analytical modeling techniques. The result? You'll unearth insights at unprecedented speeds, and find new ways to grow revenue.

Run large-scale, multivariate simulations that you can fit using different specifications. Perform count regression, cross-sectional analysis, panel data analysis and censored event estimation for both discrete and continuous events. The SAS® Viya® scalable, distributed in-memory engine delivers econometric modeling results on even the largest data sets at exceptional processing speeds. And in-memory data persistence eliminates the need to load data multiple times during iterative analyses.

Get easy access to our powerful forecasting software with the SAS Forecast Studio GUI. No need to manually code your models. And because our solution operates in both interactive and batch environments, user skills and needs determine whether the interface or a batch job is appropriate. More advanced users can access even more capabilities using the SAS programming language.

Automatically generate, visualize and deploy reliable forecasts at scale – without human involvement. Reduced manual intervention means there's less chance of introducing personal bias in the forecasting process. Because forecast analysts don't have to build and monitor forecasting models for every time series, they can focus on more strategic, high-value forecasts or problems that aren't suitable for automation.

Consider more options and scenarios, determine the best allocation of resources and implement the best plans for accomplishing goals.

Find optimal solutions to difficult problems faster than ever. SAS Optimization takes advantage of the SAS Viya distributed, in-memory engine to deliver optimization modeling results at breakthrough speeds. In-memory data persistence eliminates the need to load data multiple times during iterative analyses.

Build models that mimic the behavior of complex, real-world systems so you can understand and improve them. Our discrete-event simulation software delivers extensive capabilities suitable for both novice and advanced users.

Quickly and tirelessly sift through growing volumes of text data to identify main ideas or topics, extract key terms, analyze sentiment, and identify correlations between words with the right combination of natural language processing, machine learning and deep learning methods, and linguistic rules. This helps get the right information to people when they need it.

SAS 360 Discover provides a customer experience data model that can be integrated with any first-, second- or third-party data asset that your brand owns. By con­necting data sources, SAS provides a hybrid marketing view of the customer in the cloud or on-site to support reporting, analytics, modeling, campaign management, next-best actions, segmentation, attribution and personalization.

Boost customer acquisition rates. Build a stronger, more profitable customer base. Generate higher returns on marketing investments.

Gain full authority over your advertising space – both direct sales and third-party monetization partners – with a comprehensive advertising system.

Set a strategic plan for future marketing programs and activities based on past experience while focusing on customer communications from all channels.

Predict forward-looking demand signals for where, how and when sales will happen, and get recommendations for balanced, profitable commercial plans across all your channels and customers. Because SAS Intelligent Planning Cloud is fully automated, you get insights for solving business problems without having to worry about complicated cloud operations.

We've combined the power of SAS Analytics for IoT and Azure IoT Services with Stress Engineering’s drug supply chain expertise to provide a cloud-based cold chain integrity solution for biologics that helps you maintain product quality, minimize losses and avoid potential regulatory violations.

Powered by SAS Analytics for IoT and Azure IoT, our solution combines easy-to-deploy solar-powered sensors and cloud-based predictive analytics to improve your real-time situational awareness.

Help ensure business continuity and resiliency. Drive safe and secure production with reliable quality and yield, while optimizing resource utilization with Industrial IoT and AI.

Meet all IFRS 17/LDTI requirements – including accounting for insurance contracts and establishing a structured workflow process. Integrating risk and finance calculations enables you to streamline the flow of information and reporting of expected versus actual cash flows for all stakeholders.

Support business decisions with data that is complete, consistent, up-to-date and accurate.

No matter where your data is stored – from cloud, to legacy systems, to data lakes, like Hadoop – SAS Data Management helps you access the data you need. Create data management rules once and reuse them, giving you a standard, repeatable method for improving and integrating data – without additional cost.

Data virtualization tools provide a secure, business-centric virtual view of your data without moving it.

Shorten the time needed for key data quality and analytical processes by performing them within the database. Our in-database processing technologies enable IT to provide business units with accurate, up-to-date data.

Analysts, data stewards and business users can easily find and discover data, reports, models and other analytics assets they need using metadata search and search results. With all assets at their disposal, users can quickly evaluate the fitness of the assets, see all data or information available for use, avoid rework, and evaluate and make informed choices for which data or information to use in an efficient, governed and secure manner.

Quickly spot important relationships in your data using suggestions and clearly identified related measures. Use machine learning and natural language explanations to find, visualize and narrate stories and insights that are easy to understand and explain. Find out why something happened, examine all options and uncover opportunities hidden deep in your data. Automatically highlight key relationships, outliers, clusters and more to reveal vital insights that inspire action.

Perform data integration, data quality and data preparation tasks yourself, without having to write code or ask for specialized help. SAS Data Loader for Hadoop bridges the skills gap, giving all users access to their data regardless of technical ability.

No need for specialized skills. No coding or SQL required. Our visual interface makes data preparation easy by removing technical barriers and enabling you to blend, wrangle and shape data on your own – where it is then integrated as part of your reporting and analytics pipeline. This frees IT to focus on more strategic work, while you get insights needed to investigate data at will.

SAS Studio has powerful features that let you efficiently prepare and orchestrate your data for better decisions. Take advantage of interactive debugging to quickly identify code and logic issues. Schedule jobs to run when you want. Integrate with Git Repositories for version control of your SAS jobs, increasing your ability to collaborate quickly across your organization.

Streaming data from operations, transactions, sensors and IoT devices is valuable – when it's well-understood. Event stream processing from SAS includes streaming data quality and analytics – and a vast array of SAS and open source machine learning and high-frequency analytics for connecting, deciphering, cleansing and understanding streaming data – in one solution.

Deliver relevant, interactive, real-time decisions based on business rules and sophisticated analytics at scale to a limitless number of use cases. Easily test decisions prior to deployment to ensure they deliver the expected results. Robust governance ensures your decisions are understood and trusted across the business. High data and decision volumes are easy to handle with a cloud-based architecture that can scale to meet your demands.

A centralized, searchable repository for all types of models and analytical assets gives you complete visibility into your analytical processes, ensuring traceability and governance. The solution simplifies model management with version control. You can track project history through each step of the model management process and get a unified view of each model’s currency, definition and value. Using open REST APIs to access models and model-score artifacts streamlines IT work.​

Quickly uncover emerging, complex money laundering and terrorist financing threats with network and entity generation processes that automatically build network diagrams and reveal hidden relationships. Advanced analytics enables entity resolution by looking at multiple data sources and references to a customer, then accounting for inconsistencies, errors, abbreviations and incomplete records to help determine whether they relate to the same entity.

The SAS Customer Due Diligence solution automatically creates a risk profile for each customer with intelligent risk categorization approaches based on your institution’s risk policies. Customer populations are segmented into bands based on risk scores (high, medium, low). This enables you to fully understand the risks within your customer base, actively monitor ongoing customer activity and perform efficient periodic reviews that are in line with the true risk your institution faces.

More effective monitoring starts with better data management. Our solution combines structured and unstructured data from virtually any source, across databases, systems, agencies and even third parties. Sophisticated data quality techniques – including data matching, deduplication, entity resolution, etc. – are applied automatically to create a single, holistic view of a person or entity.

Our fraud detection and investigation software consolidates massive amounts of data from internal and external sources, and a powerful fraud analytics engine processes all data (not just a sample) in real time or in batch. A unique, hybrid analytic approach uses multiple techniques – automated business rules, predictive modeling, text mining, database searches, exception reporting, network link analysis, etc. – to detect more fraud with greater accuracy.

Our end-to-end fraud detection and prevention solution supports multiple channels and lines of business, enabling enterprisewide monitoring from a single platform. The solution simplifies data integration, enabling you to combine all internal, external and third-party data to create a better predictive model tuned to your organization's needs.

Empower data scientists, business analysts and other analytics professionals with highly accurate results from a single, collaborative environment that supports the entire machine learning pipeline. A variety of users can access and prepare data, perform exploratory analysis, build and compare multiple AML machine learning models, autotune hyperparameters and execute one-click model deployment.

Confront shifting tactics and emerging issues head-on. Our open, data-driven, hub-and-spoke approach gives you the agility to adapt to new trends and business problems, access new data sources and expand the solution's use across your business as needed.

Improve community and officer safety. Reduce crime and victimization. And optimize criminal justice resources. With SAS you can combine diverse data from all sources across the criminal justice system and beyond into an accurate, consistent, complete view of offenders. Magistrates, clerks, and law enforcement and corrections officers can then access that information in a broad, easy-to-understand view.

Significantly improve all investigative processes – from low-level crime inquiries to complex major incident responses. Investigative workspaces facilitate collaboration, compliance and efficiency. Interactive visualization and fast, flexible search capabilities help analysts and investigators build, gather, explore, visualize and manipulate data pertinent to their investigations, and get real-time results based on the most up-to-date information.

SAS® Identity 360 delivers the security, convenience and personalization needed to detect and prevent identity and digital fraud while meaningfully engaging customers.

SAS Asset and Liability Management provides flexible, open and powerful capabilities for managing interest rate risk and funding liquidity risk. You can stress test interest rates and other risk factors, taking into account repricing, optionality, yield curve and basis risk, as well as behavioral risks and credit risks. It is designed to support open source and third-party cash flow generation models and integrate with other systems.

SAS Risk Stratum provides a single source of the truth, along with a role-specific user experience, for all our risk solutions. A subledger configuration user interface helps users easily navigate and introduce changes to the subledger accounting module.

Establish a centralized model inventory that supports your internal policies and procedures across all business units. The solution's robust infrastructure includes permissions, version control and data mining capabilities. And you can import attributes and metadata – e.g., model limitation scoring, validation results and criticality ratings – from any type of model developed in any technology.

Reduce losses and boost your overall business performance by making better, data-driven risk decisions in, for example, loan originations, account management and collections processes. In addition, SAS Risk Modeling enables you to develop risk models for virtually all lending products – including credit cards, installment loans, mortgages and commercial loans.

Menu-driven dashboards make it easy to manage multiple stress tests with strong oversight and governance. Flexibly incorporate a range of scenarios and portfolio assumptions and execute stress tests quickly. Aggregate and view results along with business and supervisory segmentations. Consolidate data into financial statements and reports for management review and regulatory disclosure.

Conduct complex analyses of very large portfolios using patented techniques that deliver significant performance gains. Calculate risk measures with a variety of models that deal with millions of marketable securities, market indices, financial assets and obligations. Complete risk aggregations. Assess market, liquidity and credit risk. And calculate exposure and CVA. All in near-real time (intraday).

Reduce credit losses and boost your overall business performance by making better, data-driven credit decisions on both the origination and servicing sides of your business. SAS Credit Scoring enables you to perform application and behavior scoring for virtually all lending products – including commercial loans, cards, installment loans and mortgages.

Easily adapt to changing regulatory requirements and accommodate varying interpretations of Basel II, III and IV guidelines across multiple jurisdictions. Our flexible solution allows for easy system evolution so you can stay up to date.

A centralized platform and web-based interface simplify the development, deployment and maintenance of even the most complex bank stress test modeling systems (e.g., a Monte Carlo simulation, state transition framework). Once you estimate atomic models, you can quickly and easily group them into a system designed to produce desired results. You can reduce the total setup time for implementing such systems to less than one day – no specialized, non-SAS programming knowledge needed.

Banks in EU countries are required to comply with a set of technical standards for supervisory reporting established by the EBA. While banks are focused primarily on meeting the EBA supervisory reporting requirements, expediting implementation and reducing maintenance costs related to the requirements can yield significant business value. SAS Regulatory Content for EBA Taxonomies runs in SAS Risk Stratum to help you meet the reporting requirements and gain business value beyond compliance.

Meet all IFRS 17/LDTI requirements – including accounting for insurance contracts and establishing a structured workflow process. Integrating risk and finance calculations enables you to streamline the flow of information and reporting of expected versus actual cash flows for all stakeholders.

Insurance technologies and revenues have changed considerably in recent years. To stay ahead of this evolution, insurers must optimize every area of the business. This is particularly true for the pricing process, which directly impacts your profitability, brand reputation, market penetration and growth. SAS Dynamic Actuarial Modeling simplifies and speeds up premium creation and maintenance processes, ensuring that they are well-governed, traceable and easily summarized in comprehensive reports

Perform complex calculations to anticipate risks, then initiate control measures to maintain solvency ratios that satisfy regulatory requirements. A single solution lets you calculate standard model insurance risk capital requirements, as well as create regulatory and management reports for different regimes – such as Solvency II, ICS 2.0. And the solution's flexible framework grows along with you to meet evolving risk analysis needs.

The SAS Solution for IFRS 17 enables you to meet all IFRS 17 requirements, including accounting for insurance contracts and establishing a structured workflow process. The solution integrates risk and finance calculations, enabling you to streamline the flow of information and reporting of expected versus actual cash flows for all stakeholders.

The SAS Solution for LDTI enables you to meet all LDTI requirements, including accounting for insurance contracts and establishing a structured workflow process. The solution integrates risk and finance calculations, enabling you to streamline the flow of information and reporting to all stakeholders. The SAS Solution for LDTI facilitates the timely tracking of results and metrics, addresses LDTI regulatory requirements, and fosters collaboration among actuaries, risk managers and finance.