Consulting Services

Methodology and Road Maps consider your specific environment and develop a set of methods, processes and organization of data. This helps you understand where your business is – and how it can improve.

Analytic Labs provide analytical domain experience through proven data science methodologies. You'll get an established road map and analytics path to value. You can also determine which areas to enhance, as well as who owns those value areas.

Model Tuning helps you ensure your analytics models are up to date and delivering value. SAS consultants work with your team to dive into your open source or SAS models and evaluate where improvement or tuning can be done.

Architecture Services explore your environment to understand how it handles data workloads, various types of users, scalability and the feasibility of moving to the cloud – which takes careful planning.

Quickstart Services focus on getting your SAS solution or software deployed and your team ready to use it. The goal is to get you up and running quickly so you can realize value faster and start achieving your goals.

Modernization Services help you determine the current value of your software, as well as how you might benefit from modernizing to other technologies. For example, we can help move your data and analytics to the cloud, or help you adopt SAS^® Viya^®.

Optimization Services aim to help you get the most out of your SAS investment. Our experts will look at your intake, analytics and reporting to determine best practices, and work with your team to make it a reality.

The SAS Life Science Analytics Framework provides an environment for enabling regulatory compliance. It includes a secure content repository and SAS integrated environment that supports collaboration, as well as process automation.

SAS Financial Services AML Alert Optimization allows SAS AML clients to maximize the effectiveness and efficiency of their transaction monitoring system and meet regulatory expectations.

Fraud Risk Assessment works with you to develop a detailed understanding of your fraud maturity level and needs. We'll provide experience-based benchmarks to help with fraud detection and prevention methods.

SAS Health Care Clinical Data Normalization and Analytical Readiness enables you to use data validation, data preparation and in-stream analytics with health care data. It can be used in an analytics data warehouse to provide value to the medical field.

Development Partnerships help you solve an analytic challenge in a low-risk environment. By analyzing a subset of your data for a specific use case or challenge, SAS determines the correct path forward, focusing on solutions that best suit your needs.

Innovation Labs show you value without implementing a full-blown solution or disrupting your regular business. We'll guide you through the process of defining new, different or challenging use cases so you can see the value before adopting a solution.