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How Data Ethics Supports Governance & Monetisation

Alation

In the Cambridge Analytica case, the company went from a data strategy focused on monetisation by increased revenue to company closure due to the reputational damage from the negative media and public response. Indeed, ethical data practices can actually support data monetisation strategies. What’s your data strategy?

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Can Data-Driven Accounts Receivable Management Strengthen Client Relationships?

Smart Data Collective

The benefits of data analytics in accounts receivable was first explored by a study from New York University back in 2007. You should outline these options beforehand and test them carefully with your big data software after. This is another very important benefit of using data analytics as part of your accounts receivable strategy.

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Scikit-Learn For Machine Learning Application Development In Python

Smart Data Collective

This library was developed in 2007 as part of a Google project. This strategy provides statistical representations of all variables. Scikit-learn contains a function that allows to separate the training data from the test data, this is done automatically and shuffles the data randomly that support our methodology.

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Changing assignment weights with time-based confounders

The Unofficial Google Data Science Blog

by ALEXANDER WAKIM Ramp-up and multi-armed bandits (MAB) are common strategies in online controlled experiments (OCE). These strategies involve changing assignment weights during an experiment. The first is a strategy called ramp-up and is advised by many experts in the field [1].

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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

Companies planning to scale their business in the next few years without a definite cloud strategy might want to reconsider. 14 years later, in 2020, the pandemic demands for remote work, and overnight revisions to business strategy. He puts forth a mobile-first, cloud-first strategy. What’s so special about the Cloud?

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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

It is also a sound strategy when experimenting with several parameters at the same time. To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages. Some practical advice This section mentioned strategies for mitigating model uncertainty.

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Measuring Incrementality: Controlled Experiments to the Rescue!

Occam's Razor

The company truly has a portfolio strategy when it comes to marketing. Then they isolated regions of the country (by city, zip, state, dma pick your fave) into test and control regions. People in the test regions will participate in our hypothesis testing. The nice thing is that you can also test that!