Ask the Expert: Scaling Advanced Analytics Across the Enterprise with SAS Custom Analysis Framework

bkooman — Thu, 23 Oct 2025 12:55:12 GMT

Watch this Ask the Expert session to learn how to put powerful analytics to work for you – without writing code.

You will learn how to:

Empower domain experts with AI, without coding.
Scale and standardize analytics across the enterprise.
Accelerate decision-making from IoT data.

The questions from the Q&A segment held at the end of the webinar are listed below and the slides from the webinar are attached.

Q&A

How does the Custom Analysis Framework improve collaboration between domain experts and data scientists in industrial settings?

What it does—and I find that most analytic processes require collaboration to build—is provide a common workflow or utility for this purpose. It enables the workflow to be created, then used and deployed. I think the most important aspect is that, once built, it can be saved and rolled out across the organization, allowing many users to benefit from it. One of the pitfalls I've observed in advanced analytics within industrial or IoT settings is that organizations hire data scientists or statisticians who uncover valuable insights and solutions to specific problems but then struggle to deploy that knowledge in a way the organization can use. This framework is an excellent way to support collaboration and deliver value to the company.

How do I acquire Custom Analysis Framework?

The custom analysis framework, as mentioned earlier, is a feature of analytics for IoT. It is not an add-on. If you own analytics for IoT and upgrade to the latest version, you'll have the custom analysis framework available to you. It's as simple as that—that's how you get it.

Do we need to apply Data Selection for the data analysis with Custom Analysis Framework (CAF)? To put it simply, is Data Selection the only data source that can be used for data analysis with CAF?

No, Custom Analysis Framework can extend beyond the data model requirements — i.e., by using Data Selection in SAS Analytics for IoT. It allows users to leverage data from CAS libraries, CSV files, or any other sources supported by SAS to build custom analyses.

Recommended Resources

SAS Analytics for IoT Product Page

Predictive Maintenance Website

Build and Deploy Custom Analyses within the SAS Analytics for IoT workflow

SAS Helps Predict Maintenance Issues and Prevent Breakdowns: Volvo Trucks/Mack Trucks

Optimizing the Supply Chain with IoT and Analytics

Please see additional resources in the attached slide deck.

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Ask the Expert: Scaling Advanced Analytics Across the Enterprise with SAS Custom Analysis Framework