SAS® Analytics Life Cycle


SAS can help you accelerate the analytics life cycle, orchestrating the entire process – from data, to discovery, to deployment.

SAS® Analytics Life Cycle


Streamline data access and preparation – and enhance data quality – while ensuring the proper controls are in place. SAS dramatically increases the productivity and speed of your analytics resources.

Access data of any complexity, size or speed with a robust suite of data management tools.

Streamline data preparation with native access engines, integrated data quality and data preparation tools that use AI to automate time-consuming tasks.

Take advantage of traditional, structured data, as well as new formats, such as streaming sensor data.

SAS® Analytics Life Cycle


Discovery is about exploration, visualization and model building. Get an incredible breadth and depth of analytic techniques at your fingertips, accessible from SAS or open source languages such as Python, R or Lua. Analysts can use any language they want while benefiting from the most advanced computational power.

Tackle problems of any size or complexity with an extensive suite of proven analytic techniques.

Take advantage of programming-language flexibility, which gives you broader access to algorithms and a larger talent pool to hire from.

Make powerful analytics accessible to everyone across your organization, regardless of skill or experience.

SAS® Analytics Life Cycle


Deploying analytics into production is where your efforts to get and analyze data pay off, with an ROI for your time, data, technology and processes. It's also where organizations struggle the most. Deploy SAS and open source models into any environment fast.

Select the best model and govern its use – whether you're building one or thousands – with robust model governance. Evaluate and select the champion model from all competing models. Then register it in a centralized repository, with version control, for visibility and simplified compliance processes.

Get the best models into production quickly with faster, easier model deployment – no recoding needed. Deploy models in a few clicks to a range of targets – e.g., in database, streaming, a container or a REST API. Or deploy them into a decisioning/workflow engine.

Build models once and deploy them anywhere – without recoding and without an additional testing cycle. Our unified code base saves you immense time and effort.

SAS® Analytics Life Cycle


SAS goes beyond providing data, discovery and deployment capabilities by helping you orchestrate your entire analytics ecosystem. By connecting and accelerating analytics life cycle activities, you can go from data to tangible results faster.


Gain an upstream and downstream understanding of how data is used and transformed – from sources to transformations, models and reports – with a visual overview. And identify related data that has potential value.


Automatically monitor model performance over time to ensure models continue to perform as expected, regardless of the language used to create them. Track models from inception to usage to retirement. Get notified automatically when performance degrades so you can improve, replace or remove the model from production.


Improve efficiency and effectiveness throughout the analytics life cycle. Speed data preparation with intelligent tagging that uses AI to identify data type within a column. Generate models fast using templates and automated analysis. Use automated workflows to streamline operationalizing and updating models.