What Are the Different Types of Business Analysis Software?

SAS (full name STATISTICAL ANALYSIS SYSTEM, SAS for short) is one of the world's largest private software companies. It is a statistical analysis software developed by North Carolina State University in 1966.

SAS

(Statistical Analysis Software)

SAS (full name STATISTICAL ANALYSIS SYSTEM, SAS for short) is the world's largest private
In 1966, the United States Department of Agriculture (USDA) collected huge amounts of agricultural data and urgently needed a computerized statistical program to analyze it. The eight university federations funded by the National Institutes of Health (NIH) have addressed this issue. In the end, the statistical analysis system (SAS) emerged at the historic moment, which not only gave SAS a reputable name, but also became the starting point for corporatization. [1]
SAS (Statistical Analysis System) is a modular and integrated large-scale application software system.

SAS integrates data access, management, analysis and presentation. The main features are as follows:
1) Powerful, complete statistical methods, new, new
SAS provides a variety of statistical analysis processes from calculation of basic statistics to analysis of variance for various experimental designs, correlation regression analysis, and multivariate analysis. It includes almost all the latest analysis methods, and its analysis technology is advanced and reliable. The implementation of the analysis method is done through a procedure call. Many processes provide multiple algorithms and options at the same time. E.g
SAS has more than 29,000 customer bases in more than 100 countries and regions around the world, with more than 3 million direct users. In China, the National Information Center, the National Bureau of Statistics, the Ministry of Health, and the Chinese Academy of Sciences are all big users of SAS systems. SAS has been widely used in different areas of government administration, scientific research, education, production and finance, and plays an increasingly important role.
SAS, a business intelligence software and service provider, is about to celebrate its 30th anniversary. The growing demand from customers for SAS & reg; enterprise-level intelligent platforms and industry solutions validates the effectiveness of SAS intelligent strategy, and In 2005, it set a new sales record: total revenue increased from $ 1.53 billion in 2004 to $ 1.68 billion in 2005, an increase of 10%, which indicates that SAS has maintained revenue growth and profitability for 29 consecutive years.
From the perspective of global revenue breakdown, from the perspective of industry distribution, the revenue of SAS banking solutions continued to lead, with a growth rate of 10% and accounting for 28% of SAS industry solution revenue. Retail solutions increased by 20%, education by 16%, insurance by 12%, and government applications by 11%.
From the perspective of cross-industry solutions, revenue growth from the areas of business performance management, human resources, IT, marketing management automation, and risk management contributed to a surge of 24% in this segment compared to 2004.
From the perspective of regional revenue structure, 46% of SAS's global revenue comes from the Americas, 44% from the EMEA region (Europe / Middle East / Africa), and the other 10% from the Asia-Pacific region, maintaining balance with previous years.
SAS 'overall revenue in the Americas increased by 9%, of which the mature market in the United States grew by 7%, and the Canadian market grew by 17%. Latin America and the Caribbean increased by 42%, with Mexico and Brazil having the most significant increases, at 86% and 22%, respectively.
In 66% of mature markets including South Africa (33%), Norway (32%), Spain (31%), Austria (26%), Poland (21%) and Germany (11%) and Russia, an emerging market Driven by growth, the overall revenue of SAS in the EMEA region (Europe / Middle East / Africa) increased by 11%. Driven by revenues from South Korea (44%), Singapore (20%), China (including Hong Kong, 30%) and India, almost doubling, the overall revenue of SAS Asia Pacific increased by 15%.
Focusing on customers Major customers of SAS in 2005 include: Aeon Credit Services, Barclays, BASF, BMW North America, Citi International Financial Group, Columbia Telecom, Daiichi, France Telecom, University of Assel, Quebec Blood Center, Office Depot International, Redcats, Samsung Life Insurance, Teléfonica Telecom, Too, China Trust and Commercial Bank, Miami University of Ohio, and Verizon Communications.
In 2005, at least 3,400 existing SAS customers added investments in SAS software on the basis of recognizing the value of SAS investments. SAS 'new Global Business Intelligence Competency Center plan will help them make the most of their business intelligence investments by establishing a tight strategy.
Position of SAS in BI market
In 2005, Gartner included SAS in its "Leader's Quadrant for Business Intelligence Platform Magic Quadrant" report. According to Gartner's definition, these vendors in the "Leaders' Quadrant" have demonstrated a very wide and deep business intelligence platform capabilities, and can provide a variety of enterprise-wide business applications to support the broader BI of the enterprise strategy. In addition, SAS has been included in the Leader's Quadrant of the Basel II Risk Management Application Magic Quadrant report by Gartner.
In the "Supplier Value Survey 2005" of CIO Insight magazine, SAS was listed as a leader in the field of business intelligence. The IT leaders of the 884 companies participating in the survey pointed out that only top suppliers can provide enterprises with more Value and reliable products and services.
Trends and Prospects for 2006 SAS believes that it will continue to maintain strong growth, especially in countries such as Brazil, Russia, India and China. In 2005, many organizations worked closely with SAS to address issues such as corporate governance and regulatory compliance, primarily involving the financial industry's Basel II and the USA Patriot Act.
SAS customers also rely on SAS to target more profitable new customers or new market opportunities. "By 2006, these problems are still basically there," said Goodnight. "Organizations want to solve these problems faster. As companies move from their original environment to a truly intelligent strategy, They are under pressure to innovate and respond quickly to market changes, and this is where our business intelligence and industry solutions can play a huge role. "

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