Analytics Platforms Resources

SAS Visual Data Mining and Machine Learning is mainly used to analyze large data, find patterns, and build predictive models to support better business decisions. It is used to explore data, apply machine learning techniques, and create insights that help organizations make smarter decisions. SAS Visual Data Mining and Machine Learning helps businesses understand their data, predict future trends, and improve performance through advanced analytics.

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Noteable is an AI-enabled cloud notebook platform that brings together the ability to code, visualize, collaborate, and explain almost any data project. Noteable is built to support the needs of the entire data lifecycle - Data Analysis, Data Visualization, Business Intelligence, Machine Learning, and Data Pipeline. With Noteable's ChatGPT Plugin - ANYONE can analyze data, explain results, and interpret findings. What makes Noteable unique is that it enables users with the ability to use the same notebook to work with data, present the findings, share with others for collaboration, and publish to the world if they want to. Join a live demo (every Wednesday) to learn more.

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It brings SAS data access and analytics directly into the Microsoft apps your teams already use. In Excel, Word, PowerPoint, and sometimes Outlook, you can browse governed SAS content, run programs or stored processes with prompts, and insert the results as refreshable tables, charts, and text. Analysts keep the power of SAS while business users work in familiar documents and spreadsheets. In Excel, the add-in is most useful for parameterized analysis and repeatable reporting. You can pull curated data from SAS libraries, run scoring or statistical routines, and write the outputs into specific ranges, pivot tables, and named sheets. The connection is refreshable, so month-end work shifts from copy-paste to a single refresh that re-runs the SAS logic with the latest data. For clinical teams this often means generating listings, reconciliation extracts, and QC summaries with controlled code behind the scenes. In Word and PowerPoint, it streamlines report assembly. You insert tables, figures, and key metrics produced by SAS into templates and slide masters. When data changes, you refresh and the narrative updates without rebuilding the deck or document. This is useful for periodic safety reports, KPI packs, and executive readouts where the layout is stable but the numbers change. Security and governance come from SAS, not the desktop. The add-in respects SAS metadata permissions, libraries, and lineage. Prompts ensure users request only the slices they are allowed to see, and the code that runs lives in a centrally managed environment, which supports auditability and validation. IT retains one version of the logic while end users get self-service refresh inside Office. Integration with modern SAS platforms is supported. If you run SAS 9, you connect to stored processes and SAS servers. If you run SAS Viya, the newer SAS for Microsoft 365 experience exposes Viya content and models, with similar refresh patterns and identity controls. Either way, the upside is faster, governed delivery of SAS outputs where people already work, fewer manual exports, and a clear path from validated analytics to polished Excel, Word, and PowerPoint deliverables.

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