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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. This method uses GZIP compression to optimize storage consumption and query performance. Use DeviceId as an additional prefix to write the objects to the bucket.

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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. Risk parity is a portfolio management strategy that distributes risk benefits and disadvantages. This strategy helps to mitigate portfolio risk during instances of market volatility. What is risk parity?

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

Occam's Razor

Depending on the size of your company (translation: resources available and what's impactful and doable) here is the priority order that I recommend for you to execute your web analytics tools strategy right. They'll simply puke data faster and, if you implement them right, more efficiently. Google Website Optimizer.

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