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Small Businesses Use Big Data to Offset Risk During Economic Uncertainty

Smart Data Collective

However, there are even more important benefits of using big data during a bad economy. As a result, they will need to invest in data analytics tools to sustain a competitive edge in the face of growing economic uncertainty. They can use data mining tools to evaluate the average interest rate of different lenders.

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The trinity of errors in financial models: An introductory analysis using TensorFlow Probability

O'Reilly on Data

Finance is not physics. Despite all the complicated mathematics of modern finance, its theories are woefully inadequate, especially when compared to those of physics. Perhaps finance is harder than physics. This observation is particularly applicable to finance. Image by Mike Shwe and Deepak Kanungo. Used with permission.

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7 Ways Small Businesses Use Data Analytics for Expense Tracking

Smart Data Collective

Big Data is Vital to the Survival of Countless Businesses. With increasing uncertainty and evolving consumer demand, running a business seems like an enormous challenge. There are a lot of budgeting tools that use big data to separate your finances. Use Digital Archiving to Keep Records of Invoices & Receipts.

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Variance and significance in large-scale online services

The Unofficial Google Data Science Blog

Unlike experimentation in some other areas, LSOS experiments present a surprising challenge to statisticians — even though we operate in the realm of “big data”, the statistical uncertainty in our experiments can be substantial. We must therefore maintain statistical rigor in quantifying experimental uncertainty.

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Changing assignment weights with time-based confounders

The Unofficial Google Data Science Blog

For the first example, consider a small website that is a platform for content on personal finance. How willing your users are to engage with personal finance content depends on whether or not it’s the weekend. For this reason we don’t report uncertainty measures or statistical significance in the results of the simulation.

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LSOS experiments: how I learned to stop worrying and love the variability

The Unofficial Google Data Science Blog

The result is that experimenters can’t afford to be sloppy about quantifying uncertainty. These typically result in smaller estimation uncertainty and tighter interval estimates. We previously went into some detail as to why observations in an LSOS have particularly high coefficient of variation (CV).