| Analytic Tools and Solution |
| Today's competitive landscape makes the critical link between good decision making and success more important than ever. From corporations and government agencies to research institutes and universities, increasingly organizations are turning to statistical analysis to guide decision-making processes. Using optimal statistical techniques can provide new information that improves processes, drives development and revenues, and helps you retain valued and satisfied customers. |
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| With standard Analytical tool and solution (e.g. industry leaders like SAS, etc), you can easily access data from any source, perform data management, carry out statistical analysis and then present your findings in a variety of reports and graphs -- all within a single, easily managed software environment. They enables you to evaluate data from a variety of sources, including clinical trials, marketing databases, health surveys, customer preference studies, stock market research and so on, and our technology provides comprehensive statistical techniques for applications that span every industry: |
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Identify key factors in semiconductor manufacturing processes |
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Perform market research to determine customer preferences and choice patterns for new services |
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Employ statistical sampling techniques to produce public opinion polls |
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Describe air pollution patters with the use of spatial statistics |
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Evaluate early research findings on a new variety of seed |
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Model customer behavior to establish potential target markets for a new e-commerce endeavor |
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| From traditional analysis of variance to exact methods and statistical visualization techniques, they provide powerful tools for both specialized and enterprise wide analytical needs. You will have access to the most up-to-date statistical techniques not just today, but well into the future. In fact, Analytics often uncover tough questions or alternative courses of action previously not even considered. With SAS Analytic Intelligence you can anticipate the future and tackle strategic policy decisions such as "How are today's actions likely to impact us tomorrow, and what will the ongoing best course of action ultimately be?" |
| Organizations face numerous challenges in generating these forward-looking insights: |
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How do you design architectures and processes to tightly integrate modeling with operations without affecting the performance of operational systems? |
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Can one solution meet the diverse requirements of all types of users, share modeling results among them and be open to third-party tools? |
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What is the best way to model scenarios requiring access to old data (historical trends) as well as new recent transactions to provide revenue forecasting, Web mining of customer feedback studies, quality improvement, simulation and process optimization contexts in which most business intelligence applications fall short? |
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| Analytic Intelligence provides best-in-class modeling capabilities for discovering the complex relationships between dynamic factors that impact organizations' today. The results from mathematical formulations and discoveries can be shared with upper management and decision makers through open integration with business intelligence applications. |
