Remove Credit Risk Remove Development Remove Operations
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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.

Quality 95
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The Value of Value Chain Analysis in Transforming Your Business

N2Growth Blog

For example, Budgeting and establishing operating procedures could be core activities here; Staff – which contains a collection of core work activities that support staffing activities within a business area. Once fully documented, the value chain represents the transformation team’s recommended work environment.

Analysis 316
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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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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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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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Predictive Medicine Depends on Analytics

Harvard Business Review

Think of the colleges that are increasingly able to identify students at risk of dropping out and intervene before they do. Or lenders’ enhanced abilities to gauge credit risk. They need to be thinking about how — and how much — they will develop and integrate predictive analytics capabilities into their services.