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Lack of IT alignment hampers migration to SAP S/4HANA, report says

CIO Business Intelligence

Only a minority of companies who are either current SAP customers, or plan to become SAP ERP users, have completed their migration to the company’s S/4HANA system, even though support for its ECC on-premises suite will end in 2030, according to a report from digital transformation services provider LeanIX.

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My 10-step path to becoming a remote data scientist with Automattic

Data Science and Beyond

I decided to apply for a data wrangler position with Automattic in October 2015. I wasn’t in a huge rush to find a job, but in December 2015 I decided to accept an offer to become the head of data science at Car Next Door. I spent a few days analysing the data and preparing a report, which was submitted as a Jupyter Notebook.

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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

Crucially, it takes into account the uncertainty inherent in our experiments. There is also uncertainty related to our modeling choices — did we select the correct polynomial embedding function $f(x)$, or is the true relationship better described by a different polynomial embedding?

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Changing assignment weights with time-based confounders

The Unofficial Google Data Science Blog

For this reason we don’t report uncertainty measures or statistical significance in the results of the simulation. From a Bayesian perspective, one can combine joint posterior samples for $E[Y_i | T_i=t, E_i=j]$ and $P(E_i=j)$, which provides a measure of uncertainty around the estimate. 2015): 37-45. [3] and Donald B.

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Logarithmic Confusion

Perceptual Edge

Even in this case, however, I would not ordinarily report to others what I’d discovered about rates of change using a graph with a logarithmic scale, for all but a few people would misunderstand it. This works because units along a logarithmic scale increase by rate (e.g., It has the appearance of a normal, bell-shaped distribution.

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Fitting Bayesian structural time series with the bsts R package

The Unofficial Google Data Science Blog

Example 1: Nowcasting Scott and Varian (2014, 2015) used structural time series models to show how Google search data can be used to improve short term forecasts ("nowcasts") of economic time series. The data consist of the weekly initial claims for unemployment insurance in the US, as reported by the US Federal Reserve. Goldfarb, S.

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Take Advantage Of The Best Interactive & Effective Data Visualization Examples

datapine

As a result, you can develop a management report that will enable you to gain the insights you need to make changes that have a positive impact on the business. For example, the average price of a Big Mac in the Euro area in July 2015 was $4.05 Back in 2015, when around 46.3 million USD, a shocking 15% increase over three years.