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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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How Cashless Payments Affect Our Credit Worthiness

The Horizons Tracker

The users of cashless payment systems can benefit from this approach by virtue of lower interest rates as they generally have a lower risk of defaulting. Assessing credit risk. There are, of course, various concerns should payment firms become too big, as the risks of financial exclusion could rear their heads again.

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Small Firms Shifting Horizons As A Result Of Brexit

The Horizons Tracker

It shows clear attempts to move exports away from EU markets to elsewhere in the world. The data showed that the smallest exporters were shifting up to 46% of their export growth from the EU to other markets since the referendum in 2016, with slightly larger firms shifting around 19% of their exports. Gravity defying. Tariff barriers.

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7 Steps to Problem Solving

Skip Prichard

Technology change is speeding business up and providing an edge for disruptive innovators. And they are comfortable using rapid design cycles to prototype and test products/services in the market, rather than depending on traditional marketing analysis. How will AI impact the bulletproof approach?

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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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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.