Remove Credit Risk Remove Innovation 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. Operational Efficiency Operational efficiency is another critical area where data quality plays a pivotal role.

Quality 88
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Small Firms Shifting Horizons As A Result Of Brexit

The Horizons Tracker

The very act of diversifying trade patterns itself does not come without any risk, as transport costs are likely to grow, and companies are forced to operate in unfamiliar markets with unfamiliar bureaucracy. Add in currency and credit risks, and it’s by no means an easy pivot to make.

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Auditing Algorithms for Bias

Harvard Business Review

” For example, if a person was deemed a low credit risk, granted a loan, and then defaulted on that loan that would be a false positive. The model falsely predicted that the person had low credit risk. And it needed to operate alongside existing data science workflows so the innovation process is not hindered.

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How P&G and American Express Are Approaching AI

Harvard Business Review

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. Their fundamentally sound innovation practices provide a foundation for evolution. 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. Energy, agriculture, insurance, retail, human resources — no industry is unaffected. But this shift shouldn’t just be about capabilities.

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Just Using Big Data Isn’t Enough Anymore

Harvard Business Review

Identify opportunities for innovation. Innovation continues to be a source of promise for Big Data. Success stories of Big-Data-enabled innovation remain relatively few at this stage. Success stories of Big-Data-enabled innovation remain relatively few at this stage. Prepare for cultural and business change.