SAS in Business
Sankhyana Consultancy Services Pvt. Ltd.
Data Driven Decision Science
What is SAS?
SAS stands for Statistical Analysis System. It is a programming language for statistical analysis that is useful in various fields and industries for data mining and related data handling. It provides results related to multivariate analysis, predictive analytics, and more.
Statistical software mainly used for data management, analytics, and business intelligence?is named SAS. SAS stands for Statistical Analysis System, and?it's?written in C language. SAS?is employed?in most operating systems. SAS?will be?used as a?programming language?and as a graphical interface.?it had been?developed by Anthony James Barr?and may?read data from spreadsheets and databases. The output?will be?given as tables, graphs, and documents. SAS?is employed?to report, retrieve, and analyze statistical data and?it's?also?accustomed?run SQL queries.
What is SAS Business Analytics?
SAS Business Analytics is a full-featured solution from SAS. The product provides insights into business operations by integrating with astronomically immense data, mobile contrivances, alternative data sources such as CRMs and more.
The product provides a standard set of analytics implements, including dashboards, predictive analytics, authentic-time analytics and beyond. These implements enable businesses to capitalize on their own analytics and internal data.
How can SAS help your business?
SAS helps more than 70,000 organizations around the world take their data ... and do amazing things ...?
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With SAS? solutions:?
Key differentiators & advantages of SAS Business Analytics
Cross-Functionality: Designed from the ground up to work for any situation in any business, SAS Business Analytics can increment customer value, measure risk and optimize networks.?
Advanced Analytics: Measure your prosperity and expose threats with the advanced analytics suite provided by the software. By leveraging predictive, prescriptive and descriptive analytics, the product enables decision makers to make data-apprised decisions.?
Data Management: Cumulate data access, integration, quality management and more into one interface. SAS Business Analytics is built around data governance and other compliance features.?
Industry Solutions: The product provides unique insights tailor-made for utilizer-categorical industries. Examples include credit peril, getting drugs to market more expeditious and identifying opportunities in retail.