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Experimenting to Win with Data

Sisense

The key to coming up with the best insights lies in delving deeply into both questions; the answers you discover can help you get even more out of your data. The experiences of Measuremen, an international consultancy that helps organizations optimize facilities use, illustrate this point. Determining data goals, making a plan.

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

AWS Big Data

Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. In this model, the Lambda function is invoked for each incoming event. This method uses GZIP compression to optimize storage consumption and query performance.

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Best Web Analytics 2.0 Tools: Quantitative, Qualitative, Life Saving!

Occam's Razor

First presented at an eMetrics summit in 2005 the 10/90 rule was borne out of my observations of why most companies fail miserably at web analytics. Move from a data collection obsession and develop a crush on data analysys. Google Website Optimizer. Special Recommendation: ~ Optimizely. The 10/90 Rule!

Analytics 135
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Data Science, Past & Future

Domino Data Lab

data science’s emergence as an interdisciplinary field – from industry, not academia. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.

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Can Machine Learning Address Risk Parity Concerns?

Smart Data Collective

Here at Smart Data Collective, we have blogged extensively about the changes brought on by AI technology. Although Bridgewater Associates brought the risk parity fund to the market, they didn’t define the word until 2005, when Edward Qian of PanAgora Asset Management used it for the first time in a white paper he published.