Issue 27 - June 2007 - SAS UK - In The Know - Enewsletter

SAS Launches Visual BI

SAS® Visual BI, powered by JMP® software, marries rich, interactive visualisation capabilities with SAS’ powerful analytics and integrated business intelligence platform. Available as an add-on for SAS® Enterprise BI Server, SAS Visual BI provides yet another way for you to interact with information, visually and dynamically.

Overview

What does SAS Visual BI do? SAS Visual BI provides dynamic business visualisation enabling you to interactively explore ideas and information, investigate patterns and discover previously hidden facts through visual queries. This product, part of the most comprehensive BI platform in the industry, enriches the already diverse SAS visualisation landscape and overcomes niche tool limitations.

Why is SAS Visual BI important?

With SAS Visual BI, you can gain instantaneous insight into relationships and patterns in data by viewing and interacting with information in ways that static charts and Excel spreadsheets cannot match. Users can drill deep into content and explore a virtually unlimited number of columns and records - transcending information silos, diverse computing platforms and niche tools to discover new insights that drive business value for your organisation.

For whom is SAS Visual BI designed?

SAS Visual BI is designed for business users who have a compelling need for dynamic, visual insights in a self-provisioned interactive environment but are restricted by the inherent limitations in spreadsheets and static graphs and charts.

Key Features

• Highly interactive business graphics
• Animated bubble plots show data with sized bubbles that move over time.
• 3D scatter plots with categorical and continuous data.
• Scatter plot matrix with categorical and continuous data.
• Trellis plots.
• Summary charts.
• Line plots.
• Needle charts.

Visual querying and data filtering

• Handle unlimited data.
• Rearrange data at will.
• Interactive tabulation.

Visual analytics

• Interactive simulations and optimisation.
• State-of-the-art time series modeling.
• Exploratory and predictive data analysis.

Leverage core SAS capabilities

• Analytics.
• Stored services.
• Metadata.
• SAS code.
• SAS reports and output.

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