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Corinium Meets: Quantum Metric Head of Behavioural Research Marina Shapira

Corinium

Ahead of her presentation at CDAO UK, we spoke with Quantum Metric’s Marina Shapira about predictive analytics, why companies should embrace a culture of experimentation how and CAOs and CXOs can work together effectively. And what role should it play in an organization's data and analytics strategy?

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eCommerce Brands Use Data Analytics for Conversion Rate Optimization

Smart Data Collective

Understanding E-commerce Conversion Rates There are a number of metrics that data-driven e-commerce companies need to focus on. It is a crucial metric that provides priceless information about your website’s ability to transform visitors into paying customers. Some of the most important is conversion rates.

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Next Stop – Predicting on Data with Cloudera Machine Learning

Cloudera

And this blog will focus on Predictive Analytics. Predictive Analytics – AI & machine learning. Since our goal is to optimize part production we’ve chosen the Gradient Boost Regression model that has shown best metrics (accuracy and AOC) for our particular ECC dataset. Here are the key stages: .

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Knowledge

Occam's Razor

" ~ Excellent Analytics Tips Series: "What is the best possible advice advice you can give me?" " ~ Web Metrics: "What is a KPI? " + Standard Metrics Revisited Series. Measuring Online Engagement: What Role Does Web Analytics Play? "Engagement" Web Analytics Data Sampling 411.

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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. This is very hard to do, we now have a proven seven-step experimentation process, with one of the coolest algorithms to pick matched-markets (normally the kiss of death of any large-scale geo experiment).

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Web Analytics 2.0 Book: In Stores Now!!

Occam's Razor

Chapter 3 The Awesome World of Clickstream Analysis: Metrics. The second half shows exactly how to pick the best metrics for your org and, my absolute favorite (Page 64), how to diagnose the root cause of a metrics performance. Chapter 7 Failing Faster: Unleashing the Power of Testing and Experimentation. A good thing.

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Interview with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity

Corinium

Life insurance needs accurate data on consumer health, age and other metrics of risk. Machine learning can keep up, by continually looking for trends and anomalies, or predictive analytics, that are interesting for the given use case. And more recently, we have also seen innovation with IOT (Internet Of Things).

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