We have data on 12 companies that use SAS Risk Modeling. The companies using SAS Risk Modeling are most often found in United States and in the Retail industry. SAS Risk Modeling is most often used by companies with >10000 employees and >1000M dollars in revenue. Our data for SAS Risk Modeling usage goes back as far as 8 months.
If you’re interested in the companies that use SAS Risk Modeling, you may want to check out Square and PeopleSoft as well.
Company | HSBC Holdings PLC |
Website | hsbc.com |
Country | United Kingdom |
Revenue | >1000M |
Company Size | >10000 |
Company | SAS Institute Inc. |
Website | sas.com |
Country | United States |
Revenue | >1000M |
Company Size | >10000 |
Company | Levi Strauss & Co. |
Website | levistrauss.com |
Country | United States |
Revenue | >1000M |
Company Size | >10000 |
Company | Nestle SA |
Website | nestle.com |
Country | Switzerland |
Revenue | >1000M |
Company Size | >10000 |
Company | Prime Therapeutics |
Website | primetherapeutics.com |
Country | United States |
Revenue | >1000M |
Company Size | 1000-5000 |
Company | Website | Country | Revenue | Company Size |
---|---|---|---|---|
HSBC Holdings PLC | hsbc.com | United Kingdom | >1000M | >10000 |
SAS Institute Inc. | sas.com | United States | >1000M | >10000 |
Levi Strauss & Co. | levistrauss.com | United States | >1000M | >10000 |
Nestle SA | nestle.com | Switzerland | >1000M | >10000 |
Prime Therapeutics | primetherapeutics.com | United States | >1000M | 1000-5000 |
We use the best indexing techniques combined with advanced data science to monitor the market share of over 15,000 technology products, including Financial Management. By scanning billions of public documents, we are able to collect deep insights on every company, with over 100 data fields per company at an average. In the Financial Management category, SAS Risk Modeling has a market share of about 0.1%. Other major and competing products in this category include:
SAS Risk Modeling is an end-to-end solution that helps institutions develop and track credit risk models. It also helps manage the full modeling life cycle through an integrated environment using one comprehensive platform of SAS Viya. It supports in-memory processing for data-intensive tasks that include building modeling analytical base tables, backtesting, scoring analytical base tables, actual calculation, and ongoing monitoring of statistical calculation models.
Looking at SAS Risk Modeling customers by industry, we find that Retail (9%) and Food & Beverages (9%) are the largest segments.
69% of SAS Risk Modeling customers are in United States.
Of all the customers that are using SAS Risk Modeling, a majority (83%) are large (>1000 employees), 0% are small (<50 employees) and 0% are medium-sized.
Of all the customers that are using SAS Risk Modeling, a majority (88%) are large (>$1000M), 0% are small (<$50M) and 0% are medium-sized.