Our Cases

SAS® Intelligence Platform is a comprehensive solution for data analysis. It can be scaled from a single laptop to a cluster of servers consisting of hundreds of high grade machines.

It often helps to understand what different types of components and their main functions are, and how they are related to each other.

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Many organisations see data as the most valuable and protected resource. Among the features that vividly characterise the data within an enterprise is that business users source, change, manage and store data independently, simultaneously or at different times, once and for all or over and over again.

A huge challenge here is to achieve and maintain consistency and integrity of enterprise data. Moreover, it is desirable to make this work unnoticeably and ‘painlessly’ for the company’s workflow. SAS® Intelligence Platform is a solution designed specifically for creating, managing, and distributing enterprise intelligence. For instance, because of the way the platform is structured, enterprise data is stored only once, and can be accessed by all of the client applications, which leads to consistent answers. The requests from client applications are serviced by SAS® servers, located on the SAS® Server Tier. We’ll take a closer look at this tier further in this article.

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Fraudsters, accidental or professional, attempt to stay undetected. Financial fraud alone costs the UK over £2 million a day, according to Financial Fraud Action UK group. It is accepted wisdom that the fraud is difficult to identify and even more difficult to prevent.
In this paper I attempt to discuss the different types of data analytics available when it comes to fraud prevention.

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You might have run a stored process that executes fine on SAS® Enterprise Guide or Excel SAS® Add-in; however, when run on SAS® Stored Process Web App or SAS® Information Delivery Portal, they time out before the output is sent back to the client. Typically, it either shows as an internal server error or downloads a corrupt/incomplete output file. So what is going on?

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If you use SAS, have you ever wondered if modern Web 2.0 technologies can be combined with SAS data sets? How to make dynamic graphs, so that users can explore the data in an intuitive way, without any prior SAS knowledge? In this demo, we will show how to transform a boring data set, such as sashelp.stocks into an attractive chart that allows the user to review any time period, zoom in and out and export the graph as an image.

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