A database with anonymous financial information, qualitative information, and credit information of corporate business obligors collected from financial institutions throughout Japan. Not only does the database provide the basis of the statistically-built credit scoring models but is also used widely as a benchmark data of all kinds of credit risk measurements.

A database with anonymous financial information, qualitative information, and credit information of sole proprietorships obligors collected from financial institutions throughout Japan. Not only does the database provide the basis of the statistically-built credit scoring models but is also used widely as a benchmark data of all kinds of credit risk measurements.

A database with anonymous loan recovery information collected from financial institutions throughout Japan. This is the only database ever in Japan, intended to estimate the loss given at default (LGD).

A database with operational risk such as inadequate internal processes or system, and frauds. This database with operational loss data from financial institutions enables risk managers to analyze and improve their risk-controlling measures.

RDB-DynaMIC is a deposit-transaction information analysis system that has no rivals anywhere in the world and that allows the user to identify changes in the operating dynamics and credit standing of corporate business partners in real time by using the Company's unique logic to theoretically categorize the vast amount of account information held by banks and by converting the information into a database. The utilization of a new data construction techniques and analytical skills that embody FinTech will deliver improved convenience for financial transactions through the provision of new loan products. RDB-DynaMIC delivers solutions from a totally new perspective for bank enterprise operations as a whole, such as sales promotion, service development, risk management and regional economy identification.

The credit scoring model uniquely developed, based on the Corporate Business Database. Regression model based on statistical approach to the large-high quality data is offered every year.

The credit scoring model uniquely developed, based on the Sole Proprietorship Database. Regression model based on statistical approach to the large-high quality data is offered every year.

The credit risk rating model targeting unlisted companies jointly developed with S&P Global Market Intelligence. Using RDB's database as a basis, the model is structured through S&P's verification based on a neutral setting. Now, many of the financial institutions adopt this model in their credit risk rating process.

The credit scoring model targeting medium-sized and large companies, uniquely developed based on the Corporate Business Database. This enables to estimate credit risk of large companies, which only have few default results.

With rich practical experience of model building and the technical know-how acquired through the research and analysis of the massive database, RDB provide and offer dedicated scoring models to financial institutions. We have achieved satisfactory results principally for financial institutions which apply the internal rating based approach of the BASEL II.

The world's first credit score service of small and medium-sized enterprises, offered as a joint venture with S&P Global Market Intelligence.

In "Credit Research", topics that contribute to technical innovations in credit risk management are featured every month.

New monthly indices of actual default rates calculated in the Corporate Business Database.