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UAB “Paspara” is an official distributor of SAS Institute, the world’s leader in business analytics software, delivering the breakthrough data warehousing and analysis technologies. The company represents SAS Institute in Lithuania.
SAS is the market leader in providing a new generation of business intelligence software and services that create true enterprise intelligence. SAS solutions are used to develop more profitable relationships with customers and suppliers; to enable better, more accurate and informed decisions; and to drive organizations forward. SAS is the only vendor that completely integrates leading data warehousing, analytics and traditional BI applications to create intelligence from massive amounts of data. From financial services, telecommunications, life sciences and retail to manufacturing, automotive, media, government and education, SAS solutions offer a winning combination of technology and business expertise.
Combining award-winning SAS analytics, technology and software with best practices and industry-specific models gathered from decades of experience working with a particular industry, SAS solutions and services empower certain organization to transform raw data — from any source and across every channel — into real intelligence.
SAS offers packaged solutions that integrate leading analytical and data management technologies with extensive industry specific knowledge for banking, telecommunications, insurance and retail industries:
SAS technologies are unique, consistent solutions that offer the ability to integrate, share and centrally manage metadata across entire enterprises, thereby creating one version of the truth and eliminating information silos and the cost of maintaining them. They combine best-practice roadmaps supported by industry-specific data models, power of data extraction, transformation and loading, efficient data tuning options for enterprise intelligence creation and dissemination, true business intelligence, and versatile integrated in-depth analysis platforms covering predictive and descriptive modeling, forecasting, optimization, simulation, experimental design and more. |
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