SAS Advanced Analytics is a software platform that boasts of advanced and innovative algorithms to help users solve all types of intractable problems. The technology has solutions to aid in driving business impact – from data mining, text mining, predictive analytics, data visualization and machine learning.
The platform’s Data Mining functionalities enable big data predictive analytics in order to recognize lucrative opportunities and gain insights into impending outcomes. Forecasting solutions generate massive amounts of high-quality automated forecasts quickly. Text Analytics helps utilize unstructured data that often makes up the bulk of organizational content. Optimization and Simulation solutions identifies scenarios in order to produce recommendations to real-world problems.
Show MoreSAS Advanced Analytics has Data Mining functions for big data predictive analytics. Data preparation is made simple and straightforward with dynamic charts and graphs to understand key relationships quickly and intuitively. Users can create stable and accurate building models using tested techniques, plus a drag-and-drop interface that is easy to use without compromising on quality and capabilities. Best models can immediately be put into service with minimal time and effort via automated and interactive processes that work in both batch and real-time environments.
Statistical Analysis features of SAS Advanced Analytics help users come up with reliable answers using quality-tested algorithms. These are regularly updated to generate the latest statistical methodologies, enabling users to assess past, present and future data. The module eliminates the need for multiple software applications as it allows analysis of variance, regression, categorical data analysis, multivariate analysis, survival analysis, psychometric analysis, cluster analysis, nonparametric analysis, mixed-models analysis, survey data analysis and much more. Customization features create task-specific graphics for more effective interpretation and communication of results. This also helps build analytical-style graphs, maps and charts that can be styled in different ways with their prefered style of output.
SAS Advanced Analytics’ forecasting processes help avoid personal bias in order to generate automated and trustworthy forecasts. An easy-to-use GUI gives users the power of SAS forecasting without having to write code. The system also has a batch environment that provides advanced users with an even more advanced set of capabilities.
Text analytics, sophisticated linguistic rules and analytical modeling tools helps uncover insights hidden in big text data quickly and accurately. Machine learning and natural language processing techniques automate many time-consuming manual activities, thus boosting productivity.
SAS Advanced Analytics provides a wide range of operations research methods – including optimization, simulation and project scheduling techniques. These help evaluate all alternatives, modify constraints and variables, incorporate additional information and track changes.
Show MoreBecause businesses have specific business-related requirements, it is only prudent that they steer clear of picking a one-size-fits-all, ”best” business application. Still, it would be almost impossible to try to find such application even among well-known software products. The correct thing to do would be to write the varied important aspects which entail examination like critical features, packages, skill levels of staff members, organizational size, etc. After which, you should conduct the product research exhaustively. Read these SAS Advanced Analytics evaluations and check out the other software systems in your list in detail. Such all-encompassing product research ascertain you drop ill-fitting apps and buy the one which delivers all the function your company requires in growing the business.
Position of SAS Advanced Analytics in our main categories:
SAS Advanced Analytics is one of the top 10 Predictive Analysis Software products
If you are interested in SAS Advanced Analytics it might also be a good idea to investigate other subcategories of Predictive Analysis Software collected in our database of B2B software reviews.
Enterprises have different wants and requirements and no software application can be just right in such a scenario. It is useless to try to find a perfect off-the-shelf software product that meets all your business needs. The wise thing to do would be to modify the solution for your unique needs, staff member skill levels, budget, and other factors. For these reasons, do not rush and subscribe to well-publicized popular applications. Though these may be widely used, they may not be the ideal fit for your specific requirements. Do your research, check out each short-listed system in detail, read a few SAS Advanced Analytics Predictive Analysis Software reviews, contact the seller for explanations, and finally choose the application that provides what you need.
SAS Advanced Analytics Pricing Plans:
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SAS Advanced Analytics Pricing Plans:
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Details on SMB and enterprise pricing for SAS Advanced Analytics are not publicly available. Interested buyers may contact a sales representative to request for a customized quotation.
We realize that when you decide to purchase a Predictive Analysis Software it’s crucial not only to see how professionals evaluate it in their reviews, but also to discover if the actual users and enterprises that use this software are indeed content with the service. That’s why we’ve devised our behavior-based Customer Satisfaction Algorithm™ that gathers customer reviews, comments and SAS Advanced Analytics reviews across a vast array of social media sites. The information is then displayed in an easy to understand format indicating how many clients had positive and negative experience with SAS Advanced Analytics. With that information available you should be ready to make an informed purchasing decision that you won’t regret.
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Information about the specific third-party applications that SAS Advanced Analytics integrates with are not publicly available.
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