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Misleading Statistics Examples – Discover The Potential For Misuse of Statistics & Data In The Digital Age

datapine

With the rise of advanced technology and globalized operations, statistical analyses grant businesses an insight into solving the extreme uncertainties of the market. Statistical studies can also assist in the marketing of goods or services, and in understanding each target market’s unique value drivers.

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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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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.

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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

Working with highly imbalanced data can be problematic in several aspects: Distorted performance metrics — In a highly imbalanced dataset, say a binary dataset with a class ratio of 98:2, an algorithm that always predicts the majority class and completely ignores the minority class will still be 98% correct. Dua, D., & Graff, C.

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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. For example, the company Tweetdeck was ahead of their game when they recognized the need for businesses to engage with their customers back in 2009.

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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. measure the subjects’ ability to trust the models’ results. . – back to the structure of the dataset.

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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

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. First, you figure out what you want to improve; then you create an experiment; then you run the experiment; then you measure the results and decide what to do.

Metrics 156