How reliable is SAS for analytics?
SAS is highly preferred tool for business analytics. Comparable to top notch business intelligence (BI) tools, SAS is being used by reputed organizations to cater to their business intelligence needs. SAS steadfastly transforms data into insights. These insights can provide fresh perspective on business.
Contrary to other BI tools available in the market, programming approach of SAS to data transformation and analysis is extensive instead of drag drop and connect approach. That means user gets much finer control over data manipulation. This separates SAS from humongous crowd of BI tools. SAS has customized components for specific industries and data analysis tasks.
Prerequisites
Basic knowledge of Computer Programming terminologies is mandatory for anybody who wants to pursue SAS training. Basic understanding of some programming language is desirable as it can hugely help the trainee in understanding the SAS programming concepts. Familiarity with SQL can be an added advantage.
What is SAS?
Full form of SAS is Statistical Analysis Software. It was created by the SAS Institute in the year 1960. Since then SAS has been put to various uses like Business intelligence, Data management, Descriptive and Prescriptive analysis, Predictive Analysis etc. and in the course of time many new statistical components and procedures were introduced in the software. Users can run SAS on any operating system like Windows, LINUX, Mac etc. This is why SAS is called platform independent BI tool.
Product portfolio of SAS is ever expanding and over the years numerous new solutions have been added. It has very effective solutions for Data Governance, Fraud management, Data Quality, Text Mining, Big Data Analytics, Health science, Text Mining etc. SAS virtually has a solution for every business domain.
Why use SAS?
SAS is capable of working on large datasets. SAS software helps the user to perform wide gamut of operations on the data like –
- Data Management
- Report formation with ideal graphics
- Business Planning
- Operations Research
- Statistical Analysis
- Project Management
- Data transformation
- Quality Improvement
- Application Development
- Data extraction
- Data updation and modification
SAS Components and their usage
· Base SAS
This is most widely used and accepted as core component containing programming language for data analysis and robust data management facility.
· SAS/OR
Operations research.
· SAS/ETS
Econometrics and Time Series Analysis.
· SAS/Graph
Helps create graphs and presentations for better showcasing and understanding of the results.
· SAS/STAT
Helps perform wide array of statistical analysis that include regression, multivariate analysis, variance analysis, survival analysis, psychometric analysis and mixed model analysis.
· SAS/QC
Quality control
· SAS/Enterprise miner
Data mining
Wide usage of SAS tools has spiked up demand for SAS training. Many institutes offer SAS training in Noida. Sky Infotech is one among these. Today this institute is ranked very highly among institutes vying for best SAS training institute in Noida tag and recommendable for anybody who needs SAS training in Noida.