SAS® Web Analytics
Improve customer relationships, increase customer retention and grow revenues while lowering overall costs
Benefits
- Get support for the entire analytic process.
- Understand your customers and their value.
- Define and refine business strategies.
- Improve marketing strategies and campaign effectiveness.
Features
- Web data strategy
- Web data mart
- Web-based reporting
- Clickstream path analysis
- Analytical executive dashboard
- Analytical scorecard
- Analytical visitor segmentation
- Optional page tagging
“Thanks to the SAS Web Analytics solution, we can now instantly assess the success of our e-services and at the same time evaluate the performance of the network.”
—Krist Deforche
IT Project Leader
Mobistar
How SAS® is Different
SAS Web Analytics accesses a variety of data sources and combines them with award-winning analytics to help decision makers understand how key performance indicators influence the bottom line.
- Monitor key performance indicators and dynamically identify the important business drivers influencing your results.
- Optimize both offline and online campaigns.
- Automatically identify customer segments with respect to business goals.
Benefits
- Get support for the entire analytic process. As an integrated, end-to-end solution, SAS Web Analytics helps you with all of your Web channel needs. The solution efficiently transforms raw Web data into useful information. Easy-to-use, customizable graphical user interfaces (GUIs) enable administrators, business users and IT personnel to satisfy their individual requirements.
- Understand your customers and their value.
SAS Web Analytics integrates Web data from other sources, such as call centers and census data, to give you a complete customer view. This customer insight allows you to improve customer acquisition, retention, satisfaction and loyalty strategies to lower costs and increase revenues.
- Define and refine business strategies. With SAS’ advanced analytics, such as Web mining, you can uncover hidden patterns in the data. By discovering relationships between data elements and the underlying drivers, you can refine business strategies and maximize returns.
- Improve marketing strategies and campaign effectiveness. SAS Web Analytics automatically identifies customer segments by determining key differentiators so you can align marketing objectives with a particular customer segment. Predictive models and the ability to integrate past results into future marketing campaigns helps you better target customers and deliver smaller, more focused campaigns.
Features
- Web data strategy
-
- Easily handles massive volumes of site performance and customer behavior data.
- Processes and aggregates large data volumes in parallel.
- Reads all standard Web log data.
- Properly tracks Web visitors with patented sessionizing algorithm to overcome cookie-based session issues where a cookie is missing due to Web server flaws.
- Web data mart
-
- Integrates Web data with any other sources, such as customer and enterprise data.
- Creates a data mart that is structured and optimized for Web analytics.
- Performs aggregations at various levels to deliver business-ready data.
- Eases Web data mart creation and maintenance by using a browser-based GUI administrator.
- Web-based reporting
-
- Lets you choose which data elements to include in the Web data mart.
- Works with Microsoft Office.
- Creates on-demand reports for rapid deployment.
- Offers wizard-driven report creation.
- Includes filters that users can predefine and select to provide the appropriate result subset.
- Clickstream path analysis
-
- Uses interactive, hierarchical tree structure.
- Removes the noise of casual viewers so you can see how people are truly navigating the site.
- Graphs the existence and magnitude of associations between pages.
- Helps you identify drop-offs and pay-offs from event to event.
- Analytical executive dashboard
-
- Provides daily overview of Web site operation.
- Displays key performance indicators (KPIs) for quick identification of areas performing above or below expectations.
- Shows both current and past performance of the KPI trend in a trending graph.
- Analytical scorecard
-
- Shows the performance and forecast values of the key metrics influencing the KPIs that drive your Internet business.
- Shows how increases and decreases in certain metrics will affect the value of the target metric.
- Analytical visitor segmentation
-
- Uses decision-tree-based segmentation.
- Measures the response to a particular target.
- Allows you to provide business rules for segmentation.
- Optional page tagging
-
- Collects requested information into Web server logs or a tagging collection server.
System Requirements
Supported platforms
- HP-UX (64-bit) Release 11i (11.22)
- Windows (32-bit)
- Desktop OS: Windows NT 4 Workstation, Windows 2000 Professional, Windows XP Professional
- Server OS: Windows NT Server 4.0, Windows 2000, Windows Server 2003
- Solaris (64-bit): Solaris 8 or 9
Supported Web application servers
- Apache/Jakarta Tomcat 4.1.18
- AIX (64-bit) Release 5.1
- BEA WebLogic 8.1
- IBM WebSphere 5.1
Supported Web browsers
- Microsoft Windows Internet Explorer 5.5 or higher
- Any Mozilla 6-compliant browser
Please contact your SAS representative with any additional questions about technical requirements.
Ready to learn more?
Call us at 1-800-727-0025 (US and Canada) or request more information.




