The institute of SAS is private Cary, supplier of (US) Caroline-based by north of the analytics of businesses, which functions by 200 offices through 100 countries in North America, Europe, in Asia Pacific, in Latin America, and Africa. It employs almost 10.000 people and recorded incomes of more than $1.5 billion (of USD) in 2004, which was an increase in approximately 14 percent more than 2003.
SAS believes that it is only placed to provide to companies a continuation software which, once integrated, provides a more complete perspicacity of businesses of a history and a sight of forecasts. Specifically, SAS can provide to companies easy of access to any point of emission of data, enabling him to treat the data more effectively and to produce report/ratio them two histories and predictive-in the format which the user wants.
SAS is the leader of market by providing a new generation of software of business intelligence (BI) and services which create the intelligence of company. Its data storing (DW), extracted, transform and charge (LTE), and gathering of operating software of data, control, and analyze enormous quantities of the information of corporation to find models in data of customer, control resources, or new businesses of target. Solutions of SAS are employed with more than 40.000 site included/understood there 96 of the 100 principal companies on fortune 500 total, and are employed at almost each principal government organization of the USA. It made it possible companies to develop more advantageous relationship with customers and suppliers and to carry out better, more precise and more informed decisions.
After having been a chief in deep-plunge the analytics since the era of central processing unit, SAS recently focused itself on supporting its conduit of technology, partly by a certain number of good acquisitions thought-out and by increasing its indlogeable presence on some vertical markets. For this purpose, the supplier offers a line of goods, solutions, and services for a certain number of various industries, including motor vehicles, banks, energy, the utility, finance departments, the government, education, health care, the insurance, life sciences, manufacture, media, the entertainment, the detail, and telecommunication.
SAS transformed the notable one in roads into kingdom of company and can more not be described as an only BI supplier. Its booklet of product spans now more than one hundred products (some grouped and integrated, whereas others remain like standalones), and is prolonged well beyond the tools of exploitation of data, embracing a range of applications, geographical and statistical visualization with the tools for detection of fraud and administration of DW. The products include CRM, financial intelligence, management of the human capital (HCM), IT management, intelligence of patent, management of the output, intelligence of process, risk management, scorecarding, management of report/ratio of supplier (SRM), intelligence of chain of provisioning, analyze sequence of values, analyze of guarantee, and analytics of Web. SAS also provides services like the consultation, customer support, and the formation and it has a certain number of subsidiary companies, including DataFlux, which provide the software for the management of the data, and Marketmax, which offers products for planning and the analytics to the detail advanced.
In addition to Fortune 500 and much of other large, billionaires undertaken of the USA, which historically were its bastion, SAS had also concentrated on selling its products in companies of intermediate size. The supplier already saturated the part unit-based of the market 2000 total, where the sales of the products of levelling is limited by the tendency of the very large organizations to adapt their trace programs of data. To enrich its trunks, SAS deviates from its scientific and analytical applications traditional, and at the end high one of the market, to become more attentive with the bottom-of-the-range analytics by a tool based on the simplified WEB of question-and-report.
In fact, SAS could still be the only supplier who integrates data completely storing, analytics, and traditional applications of BI to create the intelligence of the massive quantities of data. During almost three decades, since its foundation in 1976, SAS had given to customers around the world his registered trademark to know of power for incantation. Similar to Amdocs with 'delivery of a unified platform, SAS provided the plain platform of SAS 9 much earlier, in 2004. The platform of SAS 9 increased the analytics and the user interfaces of refining (UI) which provide fresh perspicacities to solve commercial problems and to lead the competitive advantage. SAS spy this software like the most significant release in its long story, supposedly being faster, more effective, and easier to employ than its predecessors. In a paramount way, SAS9 marks the company the 'movement of S of the solutions of technology of point to the solutions on the level of the company of technology. The new platform connects all the applications of SAS so that they function together in a transparent way. It also communicates with other points of emission of data and programs.
The platform also asserts the improvement of what can probably be optimization most narrowly integrated and the predictive possibilities of analytics available, still facilitating it to answer the complex questions which cannot be approached by the traditional BI tools. The analytics increased in SAS 9 include a complete whole of possibilities like modeling, of the forecasts, simulation, optimization, and the design predictive and descriptive of the experiments. The platform benefits from the analytical advances, equipping with the users of the additional and increased predictive possibilities of modeling, code of predictive marking of modeling of the language of beaconing (PMML) to relieve the deployment on the analytics. It also provides a model deposit based on the WEB to allow the reutilisability. Maintaining with the minor of new interfaces of Java, minor of company of SAS, and texts of SAS, these tools of analytics should allow at organizations turned towards the future to analyze the structured data and the text not structured more easily.
To regenerate our memory, the exploitation of data is a class of the basic applications of data which seek the models hidden in a group of data which can be employed to envisage the future behavior. For example, it can help the companies with the detail to find customers with shared interests. The true operating software of data does not change simply the presentation of data, but discovers really reports/ratios previously unknown among the data. This knowledge is then applied to achieve specific goals of businesses.
These tools are used to replace or increase the human intelligence by sweeping by the massive warehouses of the data to discover new correlations, models, and tendencies signicatifs by employing technologies and statistics of pattern recognition. Consequently, it is popular in science and the mathematical fields but it more and more is also employed by purchasers testing of glaner useful data of the consumer of their Web sites. Putting a different stage, the predictive analytics is an exploitation of data which employs the pattern recognition, statistics, and the techniques mathematical on great numbers of data to decision making of support by envisaging the results of various scenarios. SAS was the chief in this sector, with its software 'capacity of S to learn from the past, to control the present, and to predict the future. It makes then this intelligence available to all the electoral colleges in the organization.
Its rich continuation of the integrated algorithms of exploitation of data is now increased with an interface rather easy to use Java, allowing to the analysts businesses, IT of the specialists, and to the quantitative experts to extract knowledge from businesses starting from vast stores of data and then to create the results which can be integrated in the operational systems. The minor of company of SAS is ideal for analytical CRM and financial initiatives of decision-making aid, supervising conformity, detecting the fraud and washing of money, and for the improvement of the environmental quality of manufacture. On the one hand, the minor of the texts of SAS discovers and extracts knowledge starting from the documents from the texts, and is accustomed to analyze a myriad of data, including the information of the centers of telephone attention, the investigations of customer or employees, competing intelligence, and of the patents. The minor of the texts of SAS can also help to detect the exits incipient from product. SAS 9 also supports several additional languages, increasing its utility overall.
SAS believes that it is only placed to provide to companies a continuation software which, once integrated, provides a more complete perspicacity of businesses of a history and a sight of forecasts. Specifically, SAS can provide to companies easy of access to any point of emission of data, enabling him to treat the data more effectively and to produce report/ratio them two histories and predictive-in the format which the user wants.
SAS is the leader of market by providing a new generation of software of business intelligence (BI) and services which create the intelligence of company. Its data storing (DW), extracted, transform and charge (LTE), and gathering of operating software of data, control, and analyze enormous quantities of the information of corporation to find models in data of customer, control resources, or new businesses of target. Solutions of SAS are employed with more than 40.000 site included/understood there 96 of the 100 principal companies on fortune 500 total, and are employed at almost each principal government organization of the USA. It made it possible companies to develop more advantageous relationship with customers and suppliers and to carry out better, more precise and more informed decisions.
After having been a chief in deep-plunge the analytics since the era of central processing unit, SAS recently focused itself on supporting its conduit of technology, partly by a certain number of good acquisitions thought-out and by increasing its indlogeable presence on some vertical markets. For this purpose, the supplier offers a line of goods, solutions, and services for a certain number of various industries, including motor vehicles, banks, energy, the utility, finance departments, the government, education, health care, the insurance, life sciences, manufacture, media, the entertainment, the detail, and telecommunication.
SAS transformed the notable one in roads into kingdom of company and can more not be described as an only BI supplier. Its booklet of product spans now more than one hundred products (some grouped and integrated, whereas others remain like standalones), and is prolonged well beyond the tools of exploitation of data, embracing a range of applications, geographical and statistical visualization with the tools for detection of fraud and administration of DW. The products include CRM, financial intelligence, management of the human capital (HCM), IT management, intelligence of patent, management of the output, intelligence of process, risk management, scorecarding, management of report/ratio of supplier (SRM), intelligence of chain of provisioning, analyze sequence of values, analyze of guarantee, and analytics of Web. SAS also provides services like the consultation, customer support, and the formation and it has a certain number of subsidiary companies, including DataFlux, which provide the software for the management of the data, and Marketmax, which offers products for planning and the analytics to the detail advanced.
In addition to Fortune 500 and much of other large, billionaires undertaken of the USA, which historically were its bastion, SAS had also concentrated on selling its products in companies of intermediate size. The supplier already saturated the part unit-based of the market 2000 total, where the sales of the products of levelling is limited by the tendency of the very large organizations to adapt their trace programs of data. To enrich its trunks, SAS deviates from its scientific and analytical applications traditional, and at the end high one of the market, to become more attentive with the bottom-of-the-range analytics by a tool based on the simplified WEB of question-and-report.
In fact, SAS could still be the only supplier who integrates data completely storing, analytics, and traditional applications of BI to create the intelligence of the massive quantities of data. During almost three decades, since its foundation in 1976, SAS had given to customers around the world his registered trademark to know of power for incantation. Similar to Amdocs with 'delivery of a unified platform, SAS provided the plain platform of SAS 9 much earlier, in 2004. The platform of SAS 9 increased the analytics and the user interfaces of refining (UI) which provide fresh perspicacities to solve commercial problems and to lead the competitive advantage. SAS spy this software like the most significant release in its long story, supposedly being faster, more effective, and easier to employ than its predecessors. In a paramount way, SAS9 marks the company the 'movement of S of the solutions of technology of point to the solutions on the level of the company of technology. The new platform connects all the applications of SAS so that they function together in a transparent way. It also communicates with other points of emission of data and programs.
The platform also asserts the improvement of what can probably be optimization most narrowly integrated and the predictive possibilities of analytics available, still facilitating it to answer the complex questions which cannot be approached by the traditional BI tools. The analytics increased in SAS 9 include a complete whole of possibilities like modeling, of the forecasts, simulation, optimization, and the design predictive and descriptive of the experiments. The platform benefits from the analytical advances, equipping with the users of the additional and increased predictive possibilities of modeling, code of predictive marking of modeling of the language of beaconing (PMML) to relieve the deployment on the analytics. It also provides a model deposit based on the WEB to allow the reutilisability. Maintaining with the minor of new interfaces of Java, minor of company of SAS, and texts of SAS, these tools of analytics should allow at organizations turned towards the future to analyze the structured data and the text not structured more easily.
To regenerate our memory, the exploitation of data is a class of the basic applications of data which seek the models hidden in a group of data which can be employed to envisage the future behavior. For example, it can help the companies with the detail to find customers with shared interests. The true operating software of data does not change simply the presentation of data, but discovers really reports/ratios previously unknown among the data. This knowledge is then applied to achieve specific goals of businesses.
These tools are used to replace or increase the human intelligence by sweeping by the massive warehouses of the data to discover new correlations, models, and tendencies signicatifs by employing technologies and statistics of pattern recognition. Consequently, it is popular in science and the mathematical fields but it more and more is also employed by purchasers testing of glaner useful data of the consumer of their Web sites. Putting a different stage, the predictive analytics is an exploitation of data which employs the pattern recognition, statistics, and the techniques mathematical on great numbers of data to decision making of support by envisaging the results of various scenarios. SAS was the chief in this sector, with its software 'capacity of S to learn from the past, to control the present, and to predict the future. It makes then this intelligence available to all the electoral colleges in the organization.
Its rich continuation of the integrated algorithms of exploitation of data is now increased with an interface rather easy to use Java, allowing to the analysts businesses, IT of the specialists, and to the quantitative experts to extract knowledge from businesses starting from vast stores of data and then to create the results which can be integrated in the operational systems. The minor of company of SAS is ideal for analytical CRM and financial initiatives of decision-making aid, supervising conformity, detecting the fraud and washing of money, and for the improvement of the environmental quality of manufacture. On the one hand, the minor of the texts of SAS discovers and extracts knowledge starting from the documents from the texts, and is accustomed to analyze a myriad of data, including the information of the centers of telephone attention, the investigations of customer or employees, competing intelligence, and of the patents. The minor of the texts of SAS can also help to detect the exits incipient from product. SAS 9 also supports several additional languages, increasing its utility overall.
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