Remove 2009 Remove Data Collection Remove Marketing Remove Metrics
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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

To win in business you need to follow this process: Metrics > Hypothesis > Experiment > Act. We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. That metric is tied to a KPI.

Metrics 156
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Big Data Paves The Way For Fantastic New Social Listening Tools

Smart Data Collective

The Complex Role Between Big Data and Social Listening Tools. Social media is a critical piece of the marketing puzzle for every brand today, regardless of the industry you’re in. Social media monitoring involves collecting data and is quantifiable. Social listening tools are a prime example of this application.

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Mobile Marketing 2015: Rethink Customer Acquisition, Intent Targeting

Occam's Razor

I'm a lot less excited when I think about the imagination that we've brought to bear on mobile platforms and business/marketing. They are slow to grasp new opportunities to rethink customer relationships, to revolutionize products and services, marketing, advertising, acquisition, and to deliver delight and make people happy.

Marketing 144
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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

Further, imbalanced data exacerbates problems arising from the curse of dimensionality often found in such biological data. Insufficient training data in the minority class — In domains where data collection is expensive, a dataset containing 10,000 examples is typically considered to be fairly large.

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The Definitive Guide To (8) Competitive Intelligence Data Sources!

Occam's Razor

These toolbars also collect limited information about the browsing behavior of the customers who use them, including the pages visited, the search terms used, perhaps even time spent on each page, and so forth. Typically, data collected is anonymous and not personally identifiable information (PII). 6: Self-reported Data.

Metrics 123
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Themes and Conferences per Pacoid, Episode 9

Domino Data Lab

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. data collection”) show the “process” steps that a team performs, while the boxes (e.g.,

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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. Thanks to the data they had collected on their customers, they have been able to analyze who they are, where they sit, and how much they pay.