Remove B2B Remove Data Collection Remove Experimentation Remove Strategy
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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

How do you ensure that your can zig-zag with business strategy? And, of course there is the delicious detail of this strategy not adding burden to your site's visitor experience due to it's async nature. You got me, I am ignoring all the data layer and custom stuff! Macro & Micro Outcomes Content/Strategy.

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

Occam's Razor

Nothing I can tell you about the importance of having an incredible mobile strategy will surprise you. If you look at the mobile marketing strategies, you will see they don't reflect this shift to mobile. Create a distinct mobile website and mobile app measurement strategies. Media-Mix Modeling/Experimentation.

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. If nothing else convinces you, remember that clickstream data is a small part of the data you'll use to make smart Web Analytics 2.0 our measurement strategies 2.

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

datapine

The companies that are most successful at marketing in both B2C and B2B are using data and online BI tools to craft hyper-specific campaigns that reach out to targeted prospects with a curated message. Ultimately, business intelligence and analytics are about much more than the technology used to gather and analyze data.