Professor at a university with 1,001-5,000 employees
Real User
2020-07-26T08:18:57Z
Jul 26, 2020
I'm working on a research project and we're trying to create clusters of homogeneous residents with respect to their ability or their risk of generating pressure ulcers.
Executive Head of analytics at a retailer with 5,001-10,000 employees
Real User
Top 10
2020-06-01T05:06:35Z
Jun 1, 2020
I'm a user of this solution and our use case is mostly for data management and analytics. The solution is on a server with access through to client applications. We have about 20 people who are direct users of this product. I'm the head of data engineering and we're customers of SAS Miner.
The solution can be used in any domain, including banking, insurance, health care, partitions, classifications, etc. It's basically a complete solution, that helps with data client consolidation.
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...
We use the solution for predictive analytics to do structured and unstructured data mining.
The primary use case of the solution was to perform fraud modeling techniques for a financial institution.
We primarily just use the analytical tool section of the solution.
I'm working on a research project and we're trying to create clusters of homogeneous residents with respect to their ability or their risk of generating pressure ulcers.
I'm a user of this solution and our use case is mostly for data management and analytics. The solution is on a server with access through to client applications. We have about 20 people who are direct users of this product. I'm the head of data engineering and we're customers of SAS Miner.
The primary use was for predictive analytics and to create a forecasting model. I was also using it for reporting.
At this time the primary use case of this solution for ad hoc analysis.
The solution can be used in any domain, including banking, insurance, health care, partitions, classifications, etc. It's basically a complete solution, that helps with data client consolidation.
We primarily use the solution for data mining and machine learning.
We primarily use the solution for modeling and a lot of business processes with lots of data.
I primarily use the solution for text mining.