Walmart has been a pioneer in the use of data since the 1970s. It was one of the first organizations to build large data warehouses to manage inventory across its business. This enabled it to become the first company to have more than 1 billion in sales during its first 17 years. And the innovation didn’t stop there. In the 1980s, Walmart realized that the quality of its data wasn’t good enough, so to acquire better data it became the first company to use barcode turkey consumer email list scanners at checkouts. The company wanted to know what products were selling and how product placement in the store impacted sales. It also needed to understand seasonal trends and regional differences. As the number of stores and product volume increased, so did the complexity of managing inventory. With the availability of historical data combined with a predictive model, the company was able to control its growth curve. To further reduce the time to turn its data into decisions, Walmart was the first company to invest in RFID technology. And recently it has put its efforts into data processing technologies such as Hadoop and Cassandra.
FedEx and UPS are also known for using data to compete. Through data analysis, UPS realized that if their drivers only made right turns (avoiding left turns) they would have fewer accidents, less lost time, and save on gas. The results were astonishing: in one year they saved about 10 million gallons of gas, thus also contributing to reducing their impact on the environment.
However being data-driven isn’t limited to the internet
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