Inspiring Facts: 5 Famous Companies and brands use Data Science to improve their performances

This is a little effort to show the power behind Data Science. Let’s take a closer look at some companies and brands using such platforms to improve performance and efficiency and deliver better customer experiences.

 

#01 Walmart

• Walmart uses data mining to discover patterns in point of sales data. Data mining helps Walmart find patterns that can be used to provide product recommendations to users based on which products were bought together or which products were bought before the purchase of a particular product.
• A familiar example of effective data mining through association rule learning technique at Walmart is – finding that Strawberry pop-tarts sales increased by 7 times before a Hurricane. After Walmart identified this association between Hurricane and Strawberry pop-tarts through data mining, it places all the Strawberry pop-tarts at the checkouts before a hurricane. 
• Another noted example is during Halloween, sales analysts at Walmart could look at the data in real-time and found that thought a specific cookie was popular across all Walmart stores, there were 2 stores where it was not selling at all. The situation was immediately investigated, and it was found that simple stocking oversight caused the cookies not being put on the shelves for sales. This issue was rectified immediately which prevented further loss of sales.

 #02 McDonald's

    McDonalds is another famous company that use data science to increase their performances. Their updated mobile app allows customers to order and pay almost entirely via their mobile devices. To make the experience that much more enjoyable, they gain access to exclusive deals, too. In return for the convenience, McDonald’s collects essential information about their audience. They can see what foods and services customers order, how often or even whether they visit the drive-thru or go inside. All this data allows for more targeted promotions and offers. In fact, Japanese customers using the company’s mobile app spend an average of 35 percent more because of spot-on recommendations just before they are ready to order food.

#03 Spotify

Spotify is another brand name which uses Big data for a better user experience. it uses AI and big data to deliver better playlists and streaming content recommendations to its users. The Discover Weekly feature is an excellent example of this in action. Each week, Spotify offers every user a personalized playlist with music recommendations based on their listening and browsing history. It’s kind of like a curated mixtape from the platform, offering new tracks and artists, showing you new genres you might enjoy or even updating you on your favorite music.

This feature is possible thanks to a vast trove of information and data they collect from their user base. When you have millions of people listening to music every day, you gain some pretty deep insights into user habits and preferences.

The company has also launched a “Spotify for Artists” app that lets bands and music artists see analytics related to their content.

 

#04 Amazon

The online retail giant has access to a massive amount of data on its customers; names, addresses, payments and search histories are all filed away in its data bank.

While this information is obviously put to use in advertising algorithms, Amazon also uses the information to improve customer relations, an area that many big data users overlook.

The next time you contact the Amazon help desk with a query, don't be surprised when the employee on the other end already has most of the pertinent information about you on hand. This allows for a faster, more efficient customer service experience that doesn't include having to spell out your name three times.

#05 CocaCola

The company collects data on its customers to boost current consumption and upsell new products, which has led to a more efficient operation that cuts costs and boosts profits. As consumers share their opinions of the product through social media, phone or email, it allows the company to adjust its approach and better align with consumer interests and demands. The data the company collects is aimed at improving the brand experience and developing greater customer loyalty.