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

Strategy Driven

The borrower would then sell the discounted $970 post note on the money market, also paying a discount to the post note purchaser of say $30, receiving $940 in cash. The insurance company would repay the money market investor’s post note of $970, yielding a $30 profit for both the insurance company and the investor.

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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. It is early days in the use of predictive modeling to reduce risk and create new markets for small business loans.

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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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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. It is early days in the use of predictive modeling to reduce risk and create new markets for small business loans.

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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.

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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.