Four Brands That Have Mastered Customer-Driven Big Data

You’re probably not thinking about data when you add a shirt to your online shopping cart or download a coupon for some free curly fries. However, the new reality is that data is driving what you see, what you buy and how you perceive brands. Big companies in the worlds of retail, finance and entertainment are already using big data processing to change the way business decisions are made. These companies know that big data isn’t just a tool. Big data is like a fact-based crystal ball that removes questions about consumer wants and behaviors. Take a look at the four companies that are using big data exquisitely when it comes to running operations, staying relevant and pleasing customers.

The NFL

You don’t always think of high-tech systems when picturing a football stadium full of screaming fans. However, the NFL has been one of the pioneers of using big data to protect its players and boost its image. Players have started using wearable data-collecting devices that use algorithms to detect whether certain workouts are too stressful or if athletes are developing certain injuries. This is really changing the game because the NFL has faced scrutiny over the health and wellness of its players in recent years.

Capital One

Capital One is first in line in the consumer finance industry when it comes to using big data to grow business and create customer satisfaction. The company has been using big data for years to track and anticipate the behaviors of customers. This has helped the company to efficiently present specific customers with specific offers that they want. The result is that customers have positive experiences and Capital One gets more revenue.Large corporations with household recognition obviously have some big advantages when it comes to using marketing resources to create smart business decisions and sculpt effective campaigns. However, the actual pieces of data that those companies are pulling in can be obtained by an enterprise of any size. Of course, a smaller company or enterprise won’t necessarily use a data analytics platform with the same scope as a large corporation. A platform can be scaled to offer exactly what an enterprise needs to pull data from internal and external sources and start making smarter business decisions.

Free People

You may know Free People as a hippie-inspired clothing brand that sells customers flowing, bohemian threads. However, the way the company gets its clothing in the hands of customers is quite sophisticated and calculated. The brand relies on customer records harnessed from big data to determine its future apparel designs. Free People’s plan to make business decisions based on customer purchases, customer returns and browsing habits enabled the brand to create tailored promotions and design its website in a way that makes customers more likely to complete purchases. The result is that Free People has managed to buck the downward trend in the retail industry.

Arby’s

It won’t be a coincidence if you find yourself craving a hot sandwich and some curly fries after you see a television commercial or digital ad for Arby’s. The restaurant chain has poured a big investment into using data to craft effective, targeted marketing campaigns. The chain has mastered the task of using data-based feedback to make sure its advertisements are sent through the right channels to create campaigns that are effective.

Using the Same Big Data as Big Companies

Large corporations with household recognition obviously have some big advantages when it comes to using marketing resources to create smart business decisions and sculpt effective campaigns. However, the actual pieces of data that those companies are pulling in can be obtained by an enterprise of any size. Of course, a smaller company or enterprise won’t necessarily use a data analytics platform with the same scope as a large corporation. A platform can be scaled to offer exactly what an enterprise needs to pull data from internal and external sources and start making smarter business decisions.