Given the fact that analysis is gaining a rapid importance, analytics professionals have brought to use some tools and software that are developed to be the only source for smoothening this process of in depth examination. Most commonly used software’s are Minitab17, R, Stata, Hadoop, SPSS, Datameer, alteryx and SAS.
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How sas made analysis easy
1. How SAS made analysis easy?
Given the fact that analysis is gaining a rapid importance, analytics
professionals have brought to use some tools and software that are developed
to be the only source for smoothening this process of in depth examination.
Most commonly used software’s are Minitab17, R, Stata, Hadoop, SPSS,
Datameer, alteryx and SAS.
SAS, among all these, has managed to put together the most recent
appreciation as a data analytics tool. It has now become a sought after
certification by professionals to perform seamless analysis on huge data sets
with negligible incidences of error. Institutes providing SAS training in Delhi and
many other states of India are creating wide employment opportunities for the
novice professionals. Thus they have found a foothold amidst volatility.
2. Useful Functions performed by SAS
SAS is a set of solution that is catering to the needs of data analysis worldwide.
It performs various functions that has made even complex of data sets
readable and easily understandable. Some of the most useful functions
performed by SAS are:
1. Data entry, retrieval and management:
2. Report writing and graphics:
3. Statistical and mathematical analysis:
4. Business planning, forecasting and decision support:
5. Operations research and project management:
3. Data entry, retrieval & management
Data entry, retrieval and management are now on
your fingertips. This function of SAS has made
information storage easy and safe, away from any
kind of manipulations that could be made alter the
results of analysis. It is a promising tool not only for
performing an analysis but for managing large
volume of information. This makes recovery of
information or any reference in future accessible.
4. Report writing and graphics
Data analysed are presented in the form reports and
graphic that makes it easily understandable by the
non professionals, even though it is the job
professionals to step by step explain the results
achieved. Storing results in the form of organized
reports and graphics is another aspect that explains
the ease of managing information.
5. Statistical and mathematical analysis
Analysis of data includes performing useful
calculations. This tool has been proved to be having
an edge over other similar tools in performing
statistical and mathematical analysis. Now mean,
median, mode, regression, correlation etc. are not
complex anymore.
6. Business planning & decision support
Analysis is of a very high strategic importance. The
basic motive of analysis is to form meticulous
structure for achieving both short term and long term
goals. This involves scrutinizing business trends
prevailing in the present and on this basis forecasts
are made about the trends that might prevail in the
future. This is how some very important
organizational decisions are taken and a detailed
planning is done to achieve the targets.
7. Operations research & project management
Operations research and project management are useful
in solving complex decision making problems. SAS being
high end statistical software can form a base for
performing operations research in an organization. Its
ability to perform complex mathematical, statistical and
econometric calculations has achieved an appreciable
amount of response for the purpose of operations
research. Its characteristic of analysing and forecasting
makes SAS a stable and widely used tool for project
management. Apart from statistical analysis its
functionality also involves assisting for the process of
planning and decision making for the purpose of
controlling and managing resources for a project.