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4.9 out of 5
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SAS In-Memory Statistics
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SAS In-Memory Statistics
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3 SAS In-Memory Statistics Reviews
4.5 out of 5
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CB
Verified User in Banking
Small-Business(50 or fewer emp.)
What do you like best about SAS In-Memory Statistics?
Processing large datasets is much faster than traditional disk-based processing as the computations are performed in memory (RAM). It also supports advanced analytics like regression, decision trees, clustering, and machine learning algorithms. we have build regression model to identify loan defaulter by analysing bureau data. It is easy to use for experienced one and has good customer support as well. It can also be easily integrate with SAS Visual Analytics and SAS Enterprise Miner. Review collected by and hosted on G2.com.
What do you dislike about SAS In-Memory Statistics?
The only dislike I want to mention is its high lisencing cost and infrastructure requirements. Review collected by and hosted on G2.com.
AG
Akanksha G.
Senior Test Engineer
Enterprise(> 1000 emp.)
Rating Updated ()
Original
What do you like best about SAS In-Memory Statistics?
Sas in memory statistics is useful in tracking the amount of memory used by SAS programs and data sets. It is also used to identify memory leaks and used in troubleshooting performance problems as well. Review collected by and hosted on G2.com.
What do you dislike about SAS In-Memory Statistics?
Sometimes it's difficult to interpret the output of sas in memory statistics. It's also sometimes difficult to identify the root cause of memory problems. Review collected by and hosted on G2.com.
UG
Verified User in Government Administration
Small-Business(50 or fewer emp.)
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