In terms of my experience with SAS Analytics, I have some experience with it. For machine learning, I use more Python. With SAS Viya, I can use SAS Analytics or open source tools like Python or R, but for me, it is easier to use Python for machine learning. I would rate this review a 9 overall.
Finance Business Intelligence at Banco Santander Mexico SA Institucion de Banca
Real User
Top 10
Mar 28, 2025
Overall, I would recommend SAS Analytics due to its ease of understanding. However, for those less inclined towards programming, Orange might be more suitable as a starting point. I would rate SAS Analytics an 8 for sure.
CTO at a pharma/biotech company with 51-200 employees
Real User
Dec 14, 2021
If you are in need of extensive visualizations, then I would recommend that you first check with SAS Analytics first, to find out whether they are able to offer the right visualization packages that you need. But for analytics and statistics, it's pretty good. I would rate SAS Analytics a nine out of ten.
Global Data Architecture and Data Science Director at FH
Real User
ModeratorTop 5
Feb 24, 2021
I would recommend SAS for large organizations because of the cost of this enterprise-level solution. For a small organization, I would recommend a cheaper solution. On a scale from one to ten, I would give SAS a nine rating.
SAS Analytics offers a powerful suite of tools for statistical analysis, predictive analytics, and data handling, making it ideal for industries requiring robust data-driven decisions. Its extensive capabilities cater to professionals familiar with SQL and demand forecasting needs across sectors. With a strong presence in analytics, SAS Analytics provides a seamless experience for data preparation, exploration, and reporting. Users benefit from its ability to handle large data sets, generate...
In terms of my experience with SAS Analytics, I have some experience with it. For machine learning, I use more Python. With SAS Viya, I can use SAS Analytics or open source tools like Python or R, but for me, it is easier to use Python for machine learning. I would rate this review a 9 overall.
Overall, I would recommend SAS Analytics due to its ease of understanding. However, for those less inclined towards programming, Orange might be more suitable as a starting point. I would rate SAS Analytics an 8 for sure.
I recommend SAS Analytics to others and rate it a ten out of ten.
I only recommend certain features, not the product as a whole. Overall, I would rate it seven out of ten.
If you are in need of extensive visualizations, then I would recommend that you first check with SAS Analytics first, to find out whether they are able to offer the right visualization packages that you need. But for analytics and statistics, it's pretty good. I would rate SAS Analytics a nine out of ten.
I would recommend SAS for large organizations because of the cost of this enterprise-level solution. For a small organization, I would recommend a cheaper solution. On a scale from one to ten, I would give SAS a nine rating.
In summary, this is a good product and I can recommend it to others. I would rate this solution a nine out of ten.