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Why CEOs should test big digital business ideas in tiny countries.

Mark Raskino

For example in 2003, when I visited Zagreb in Croatia for the first time – they had mobile phone text based payment for car parking. He was talking about something we call the ‘compound uncertainty’ that must be navigated when we want to test and introduce a real breakthrough digital business idea. This is not a new observation.

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Humans-in-the-loop forecasting: integrating data science and business planning

The Unofficial Google Data Science Blog

This classification is based on the purpose, horizon, update frequency and uncertainty of the forecast. A single model may also not shed light on the uncertainty range we actually face. This is particularly true in operational planning domains where contracting around risk is not common, as it is in financial markets.

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What Will Drive Innovation in this Great Reset

Andrew White

In this second phase executive leaders will need to make critical business decisions with even less data and with more uncertainty. Other markets will be changed forever, and wholly new opportunities may emerge. The entire efficient allocation hypothesis will be upside down as market and public sector forces seek an uneasy equilibrium.

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The trinity of errors in applying confidence intervals: An exploration using Statsmodels

O'Reilly on Data

Because of this trifecta of errors, we need dynamic models that quantify the uncertainty inherent in our financial estimates and predictions. Practitioners in all social sciences, especially financial economics, use confidence intervals to quantify the uncertainty in their estimates and predictions. on average. on average.