DATAOI was founded on the principle that to succeed in the rapidly changing global data ecosystem, businesses - regardless of industry or size - must use data science, machine learning and AI to innovate and be competitive.
Financial disasters in private firms led to increased emphasis on various forms of risk management, to include market risk management, operational risk management, and credit risk management.
Financial institutions are motivated by the need to meet increased regulatory requirements for risk measurement and capital reserves.
Dataoi develops decision support models for financial institution enabling assessment of risk of default on the part of loan recipients.
A credit scoring model is presented to assess account creditworthiness.
Alternative methods of risk measurement for fault detection are compared, and a logistic regression model selected to analyze accounts receivable risk.
Accuracy results of this model are presented, enabling financial executives to confidently apply our statistical analysis and data mining capability to manage their risk.
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