How Is Walmart Reported To Have Addressed Its Analytical Needs

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Walmart Saw a Problem, and It Wasn't Low Prices on Toothpaste (Although That Happens Too)

Let's face it, Walmart is a data monster. They track what you buy, when you buy it, and whether you shove that bag of gummy bears in your cart before or after the organic kale chips (no judgment...unless it's, like, the third bag of gummies). But all that data is kind of useless if it's just sitting there in a server room, gathering dust bunnies and existential dread.

Enter Kaggle: The Hunger Games...of Data Analysis?

So, what'd Walmart do? Did they build a team of data scientists so big it rivaled their employee discount on everything? Nope. They went crowdsourcing, baby! That's right, they turned to Kaggle, a website where data analysis enthusiasts (think mathletes with a social life) compete in, well, data analysis competitions.

Walmart Says, "Hey Kaggle Gurus, Help Us Crack This Data Nut!"

Here's the gist: Walmart threw a whole bunch of anonymized customer data at Kaggle and said, "Hey, brainiacs, what can you tell us about our customers? What makes them tick? Why do they mysteriously vanish from the cereal aisle with three boxes of Fruit Loops and a jar of pickles?"

Data analysts across the globe descended upon this information like vultures on a discount rack of day-old bread. They crunched numbers, built models, and wrestled with algorithms so complex they'd make Einstein do a spit-take with his tea.

The Results Are In, and Let's Just Say, Walmart Won Big Time (and So Did the Winners)

The Kaggle competition was a smashing success. Walmart got a treasure trove of insights into their customers, learning things like what products people tend to buy together (turns out, diapers and beer are a more popular combo than you might think) and how to better predict buying trends. The Kaggle winners, well, they walked away with some serious cash prizes and the bragging rights of being the ultimate data wranglers.

The Moral of the Story?

Sometimes, the answer to your problems isn't throwing money at a mountain of PhDs. Sometimes, the answer is unleashing the power of the internet and letting the data wizards work their magic. Who knows, maybe you too have a problem that can be solved by a good crowdsourcing challenge. Just remember, if you do, avoid asking people to analyze your sock drawer. That's a competition nobody wants to win.

2022-06-30T03:55:54.339+05:30

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