smb analytics pro

SAS® Analytics Pro for Midsize Business

Access, analyze and present business data directly from your PC

SAS Analytics Pro for Midsize Business provides users with all the functionality needed to access data from any source, manipulate and analyze the data, and present information in the most relevant format.

The toolset combines three of SAS' most popular software products – Base SAS, SAS/STAT® and SAS/GRAPH® – in a PC package that's easy to install and use, without resource-intensive IT support.

Benefits

Integrate data to make better decisions.

SAS Analytics Pro for Midsize Business integrates with virtually any environment, unifying computing efforts and delivering a single view of data. Using this toolset, analysts at small and midsize businesses can see connections and uncover hidden relationships – freeing them to focus on analysis rather than data issues. A more timely, comprehensive and consistent view of data promotes faster, better decision making.

Meet all your visualization and reporting needs.

SAS software includes analytical-style graphs, maps and charts with any style of output required. Business users can easily create reports in standard formats such as RTF and PDF, and produce output in a variety of markup languages – without IT assistance.

Reduce cost, complexity and IT dependence.

SAS software offers a full range of analysis, reporting and visualization tools, all from one vendor, in an affordable PC package that is easy to install and use. Organically developed and tightly integrated with core SAS capabilities, the software reduces licensing, maintenance, train­ing and IT support costs.

Enhance compliance efforts.

SAS statistical procedures are constantly updated to reflect the latest advances in methodology. Consequently, business users can obtain deep analytical insight and produce reliable, repeatable results that are easily documented and verified to comply with corporate and governmental requirements.

Screenshots

Features

smb analytics pro
  • Powerful 4G language.
  • Data analysis.
  • Data visualization, presentation and delivery.

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