In a comparative study on 12 data mining solutions, analyst and consulting company mayato ranked SAS Enterprise Miner tops for quality. During evaluation, SAS Enterprise Miner generated the best model quality and delivered the best analysis results. Large data volumes that were problematic for competing solutions were processed quickly and effectively by SAS. Mayato´s overall assessment underscores SAS’ leadership position in analytics – clearly ahead of products and solutions from Oracle, Microsoft and SAP.
“Even though data mining software has reached a remarkable level of maturity, there are still huge differences – especially in terms of data quality. In this area SAS Enterprise Miner is the leading tool,” said Dr. Marcus Dill, analyst at mayato, which specialises in business intelligence, business analytics und data mining.
SAS Enterprise Miner streamlines the data mining process to create highly accurate predictive and descriptive models based on analysis of vast amounts of data from across the enterprise. Forward-thinking organisations today are using SAS data mining software to detect fraud, anticipate resource demands, increase acquisitions and curb customer attrition.
Using the SAS Business Analytics Framework as a foundation, SAS offers targeted business solutions that support enterprise intelligence, customer intelligence, financial intelligence, supply chain intelligence and more – as well as turnkey solutions for various vertical markets, such as hospitality and entertainment, financial services, life sciences, healthcare, retail and manufacturing.