Remove Credit Risk Remove Development Remove Innovation
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The Critical Importance of Data Quality Over Mere Data Collection

Strategy Driven

High-quality data is indispensable for informed decision-making, operational efficiency, customer satisfaction, regulatory compliance, and innovation. Decision-makers use data to analyze trends, understand market dynamics, and forecast future developments. Risk Management Risk management is another domain where data quality is crucial.

Quality 95
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7 Steps to Problem Solving

Skip Prichard

Technology change is speeding business up and providing an edge for disruptive innovators. As a consequence of accelerating change, the old model of managerial skill development and application is no longer effective. How did you develop it? 7 Steps to Problem Solving. 1: Define the problem. 2: Disaggregate. 3: Prioritize.

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Auditing Algorithms for Bias

Harvard Business Review

Influenced by this community, Accenture Applied Intelligence* has developed a fairness tool to understand and address bias in both the data and the algorithmic models that are at the core of AI systems. Step 2 and 3 occur after a model has been developed. The model falsely predicted that the person had low credit risk.

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StrategyDriven Editorial Perspective – Good Intentions, Bad Results: Learning from the Panic of 1826

Strategy Driven

Looking to increase the homeownership rate and “foster affordable housing,” the Housing and Urban Development (HUD) department issued regulations that required 55% of all government sponsored entities (GSEs) to purchase “affordable” loans from banks, either directly or through packaged MBS.

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How P&G and American Express Are Approaching AI

Harvard Business Review

And they have well-honed approaches for developing the requisite new skills in employees. Ash Gupta is President of Global Credit Risk and Information Management at American Express, and Guy Peri is Chief Data Officer and Vice President of Information Technology at P&G. Address applications that benefit you and the customer.

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Just Using Big Data Isn’t Enough Anymore

Harvard Business Review

Develop the right metrics. When I discuss this with executives, they often point out that the lack of highly developed metrics is both a function of the relative immaturity of Big Data implementations, as well as a function of where in the organization sponsorship for Big Data originated and where it currently reports. Insight Center.

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Use Data to Fix the Small Business Lending Gap

Harvard Business Review

With larger volumes of data being used to analyze everything from the genome to traffic patterns and lunch choices, it is natural to ask whether big data can crack the code on small business credit risk. What seems novel and niche in small business credit scoring today has the potential to be ubiquitous tomorrow. Finance'