Big Data investments from Wal-Mart and other traditional companies are starting to pay off

Questions about the business value of large data come from the maturity of the relevant technology application and the uncertainty of return on investment, but Wal-Mart and Intercontinental hotels are eating "Big data crabs" the traditional enterprise uses the real return to interpret the big data value.

In fact, when Wal-Mart invested heavily in developing large data tools and driving big data technologies, we found that the most enthusiastic companies for big data were not it vendors, but traditional companies that benefited directly from big data, and they couldn't wait to get ahead of the vendors.

Wal-Mart is one of the first traditional corporate giants to start investing and deploying large data applications, not only as a crab eater in large data applications, but also in the development of large data technologies at Wal-Mart's large data labs. Today, Wal-Mart's investment in big data is starting to pay off.

A recent report by the Huffington Post points to Wal-Mart's big data programs and the benefits it has begun to produce. The article also revealed that Wal-Mart used a number of exotic large data acquisition technology, such as in the eye of the costume mannequin to install the camera, through the image recognition technology to judge the customer's stay time, eyes focus on the hot zone, height and weight, and even consumers are pregnant. (Editor's note: that sounds creepy).

Wal-Mart has also advanced large data prediction and analysis technology to find two electronics chain source and Carlie Brown customers purchase intention is moving to high-end products, and timely adjustment of the two stores inventory, one by one, the sales performance increased by 40%. Large data analysis technology enables Wal-Mart to respond positively to market dynamics in real time.

In addition, the hotel industry is starting to benefit from big data, such as the large data applications deployed by Intercontinental Hotels Group (Intercontinental Hotel), which analyze structured and unstructured data from 650 data sources in real time, and even competitor data. Surrounded by large data applications, Intercontinental Hotels have rebuilt the reservation system, purportedly offering a personalized web experience for each customer, and greatly improved conversion rates and increased performance for each booking channel.

In Australia, a CIO survey showed that 84% of midsize companies are either already or ready to deploy large data applications next year, and that the big value of the data is the ability to provide support for high-level decision making.

In the United States, the Alabama of the county-level mobile public school system since 2008 Drop-out rate of up to 48%, after the implementation of large data analysis and application, through the 95 schools to dig out the student data, to extract the students to drop out of the "signal" and to develop targeted measures, The region has thus succeeded in raising the student's graduation rate by 70%, and the student's performance has been greatly increased.

(Responsible editor: The good of the Legacy)