Remove B2B Remove Data Collection Remove Experimentation Remove Marketing
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Practical Skills for The AI Product Manager

O'Reilly on Data

AI PMs should enter feature development and experimentation phases only after deciding what problem they want to solve as precisely as possible, and placing the problem into one of these categories. Experimentation: It’s just not possible to create a product by building, evaluating, and deploying a single model.

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Five Key Elements For A Big Analytics Driven Business Impact

Occam's Razor

You got me, I am ignoring all the data layer and custom stuff! But, at the end of the day presence of a Tag Manager communicates to me that the company is serious about data collection and data quality. Digital Marketing & Measurement Model. You plus Marketing Team.]. All that is great. That's it.

Analytics 141
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Magnificent Mobile Website And App Analytics: Reports, Metrics, How-to!

Occam's Razor

If you look at the mobile marketing strategies, you will see they don't reflect this shift to mobile. In this post we will look mobile sites first, both data collection and analysis, and then mobile applications. Media-Mix Modeling/Experimentation. The only reason good old digital is beating TV is mobile.

Metrics 141
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10 Fundamental Web Analytics Truths: Embrace 'Em & Win Big

Occam's Razor

Having two tools guarantees you are going to be data collection, data processing and data reconciliation organization. In case of WebTrends replace those terms with Marketing Intelligence / Visitor Data Mart etc. Likely not. Omniture cannot save you. Only you can save yourself. Usually for free.

Analytics 118
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6 Case Studies on The Benefits of Business Intelligence And Analytics

datapine

For example, in regards to marketing, traditional advertising methods of spending large amounts of money on TV, radio, and print ads without measuring ROI aren’t working like they used to. Ultimately, business intelligence and analytics are about much more than the technology used to gather and analyze data.