Visual Analytics

SAS Visual Analytics

This is one of my luckiest day since I got sneak peek into how visual analytics uses dashboards to assimilate data into various graphical visualizations that have very appealing look and feel and allow analyst to drill through multiple levels of hierarchy. The data can be easily viewed across multiple dimensions with impressive tooltips to guide into deriving insightful conclusions.

Figure 1 Vertical Categorized Graph

This example illustrates how to use parameters to retrieve relevant data. The sleek animation effect that trails with zoom in and out is addictive.

Figure 2 Big Data with cascaded hierarchy

Figure 3 Exposure by Industry

Figure 4 Drilled Down Graph

Multiple options of color coding and displaying numerical data with associated widgets enhances the result. The red, yellow and green indicators below delineate low, medium and high ranges for return percent and RAROC dimensions.

Figure 5 Tabular Data

If you ever want to know more about in-memory computations and how to have faster load times for content rich data and graphics, SAS Visual Analytics will be good solution!

AUTOEXEC

How many of us have wondered how to make server connection more of one-button click process in SAS Enterprise Guide? Generally, there are multiple servers available and depending on your need, you may want to switch them. However, once you decide to stick of particular development server, it is important to be aware that there exists an option of AUTOEXEC which denotes creating and saving simple one or multi-line automatic executable program node. This program node must be named AUTOEXEC (case-insensitive) and saved in process flow Autoexec.

This program node contains libname statements to connect to specific libraries on desired server. As long as you check mark the setting "Automatically run "Autoexec" process flow when project opens" under Tools, Options, General.