Remove 2005 Remove Modeling Remove Optimization Remove Visualization
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Experimenting to Win with Data

Sisense

The experiences of Measuremen, an international consultancy that helps organizations optimize facilities use, illustrate this point. Since 2005, Measuremen has helped its clients study and optimize facilities use. Measuremen can visualize the data in its portal, evaluate current trends, and recommend changes.

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Using random effects models in prediction problems

The Unofficial Google Data Science Blog

KUEHNEL, and ALI NASIRI AMINI In this post, we give a brief introduction to random effects models, and discuss some of their uses. Through simulation we illustrate issues with model fitting techniques that depend on matrix factorization. Random effects models are a useful tool for both exploratory analyses and prediction problems.

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Gain insights from historical location data using Amazon Location Service and AWS analytics services

AWS Big Data

In this model, the Lambda function is invoked for each incoming event. This method uses GZIP compression to optimize storage consumption and query performance. The repository contains the AWS Serverless Application Model (AWS SAM) template and Lambda code required to try out this solution.

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Digital Marketing And Analytics: Two Ladders For Magnificent Success

Occam's Razor

Progress in digital marketing and analytics in either scenario becomes painful (the organization / systems / thinking is simply not in the optimal position). During this stage you should also invest a lot in Search Engine Optimization. Or Ford (it is amazing that in 2013, for such an expensive product, it looks so… 2005).

Marketing 165
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11 Digital Marketing “Crimes Against Humanity”

Occam's Razor

This latter category contains things that are so obviously sub-optimal that no one should be doing them any more. The issues of course include people and jaded mental models and bureaucracy and a lack of time and the missing desire to be great and org structures, and bosses. " 27: You are going crazy with SEO optimization.

Marketing 126
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Fitting Bayesian structural time series with the bsts R package

The Unofficial Google Data Science Blog

SCOTT Time series data are everywhere, but time series modeling is a fairly specialized area within statistics and data science. This post describes the bsts software package, which makes it easy to fit some fairly sophisticated time series models with just a few lines of R code. by STEVEN L. Forecasting (e.g.

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Data Science, Past & Future

Domino Data Lab

how “the business executives who are seeing the value of data science and being model-informed, they are the ones who are doubling down on their bets now, and they’re investing a lot more money.” He also really informed a lot of the early thinking about data visualization. Key highlights from the session include. Transcript.