Remove 2006 Remove Modeling Remove Optimization Remove Predictive Analytics
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Analytics On The Bleeding Edge: Transforming Data's Influence

Occam's Razor

Finally, few analytics teams obsess about predictive analytics in a way that allows them to dictate future action. From 2006: Is Real-Time Analytics Really Relevant? ). You have the start of a fabulous in-flight optimization engine. Analytics on the Edge. Then, automate the execution of this decision.

Analytics 131
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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.” Predictive analytics, yeah, not so much.” Key highlights from the session include. Transcript. You can take TensorFlow.js

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A Big Data Imperative: Driving Big Action

Occam's Razor

The current flawed data org structure, its challenges, and the new optimal org structure to truly bring big action to big data. But that can only happen if there is a model that defines the purpose of your sweet big data adventures. " That is the title of my post from June 2006. 01:15 – 04:05 Part 1.

Big Data 127
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Web Analytics: Frequently Asked Questions And Direct Answers

Occam's Razor

Benjamin Rodde: I'd like to predict our Daily/Weekly/Monthly churn using the #GooglePredictionsAPI with unique visitors from #GoogleAnalytics. The best option is to hire a statistician with experience in data modeling and forecasting. If you have Web Analytics 2.0 Alex Cohen: How to optimize with sparse data!