CTO at a pharma/biotech company with 51-200 employees
Real User
2021-12-14T17:42:00Z
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.
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.
Data Mining is a category of software solutions that enable organizations to extract valuable insights and patterns from large datasets. These tools utilize various algorithms and techniques to analyze data, identify trends, and make predictions.
Key features of data mining tools include:
Data preprocessing: Cleaning and transforming raw data for analysis.
Pattern discovery: Identifying hidden patterns and relationships within the data.
Predictive modeling: Building models to...
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.