Analytics Life Cycle

The Analytics Life Cycle

DATA • DISCOVERY • DEPLOYMENT
ORCHESTRATION

The Analytics Life Cycle Graphic

With decades of demonstrated leadership in analytics, SAS can help you accelerate the entire analytics life cycle – from data, to discovery, to deployment. Only the SAS® Platform orchestrates the analytics life cycle with a perfect balance of choice and control across all your data, analytics and talent investments. That's the SAS difference. 

Analytics Life Cycle Focus on Data

The Analytics Life Cycle

DATA

The SAS Platform streamlines data access and preparation – including enhancing data quality – while ensuring the proper controls are in place. This 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 leverage AI to automate time consuming tasks.

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

Analytics Life Cycle Focus on Discovery

The Analytics Life Cycle

DISCOVERY

Discovery is all about exploration, visualization and model building. The SAS Platform puts 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 whatever language they want, while benefiting from the computational power of the SAS Platform.

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.

Analytics Life Cycel Focus on Deployment

The Analytics Life Cycle

DEPLOYMENT

Deploying analytics into production is where all the efforts to get and analyze data pay off with a return on your investment of time, data, technology and processes. It's also where organizations struggle the most. The SAS Platform helps you deploy SAS and open source models rapidly into any environment.

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, and 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 is needed. Deploy models in just a few clicks to a wide 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. A unified code base saves you immense time and effort.

Analytics Life Cycel Focus on Deployment

The Analytics Life Cycle

ORCHESTRATION

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

Lineage

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 is potentially valuable.

Monitoring

Automatically monitor model performance over time to ensure models continue to perform as expected, regardless of the language they were created in. 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.

Automation

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. Streamline operationalizing and updating models with automated deployment workflows.

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