Big Data so fire, big data can be used to do in the end?

Why Big Data so the fire? Why do so many companies have spent to hire expensive large data engineer, for businesses, big data can be used to do? What are the big data business value? Here thousands of small bring you a closer look.

1, customer segmentation

"Big data" can be customer segmentation, and like every unique group tailored to take action. Target specific customer groups for marketing and services businesses have been pursuing. Massive data cloud storage and "big data" technology enables real-time analysis and extreme subdivision with high cost efficiency may have on consumers.

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2, simulated reality

The use of "big data" simulated reality, discover new needs and improve return on investment. More and more products are equipped with sensors, automotive and popularity of smart phones make it possible to collect data showing explosive growth. Blog, Twitter, Facebook and other social microblogging network also produces the vast amounts of data.

Cloud computing and "big data" analysis that allow companies, in real time, these data along with the data transactions are stored and analyzed at a higher cost efficiency situation. Transaction process, product use and human behavior can be digitized. "Big Data" technology can integrate these data for data mining, so in some cases to determine the case of different variables (such as different promotions in different regions) of which the highest return on investment programs by model simulation.

3, to improve the rate of return

Improve the "big data" results in a degree of sharing of the relevant departments to improve the rate of return on the entire management chain and industrial chain. "Big Data" strong ability to departments through cloud computing, Internet and search engines to "big data" results and "big data" weak ability of departments to share, to help them take advantage of "big data" to create business value.

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4, the data storage space for rent

Businesses and individuals have a massive information storage requirements, only the data stored properly, will it be possible to further tap its potential value. Specifically, this business model can be broken down into individual file storage and enterprise customers for two categories for. Mainly through easy-to-use API, the user can easily various data objects in the cloud, then as with water, electricity as Metered. There are a number of companies to launch the appropriate services, such as Amazon, Netease, Nokia. Operators have also introduced the corresponding services, such as China Mobile's business clouds.

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5, customer relationship management

The purpose of customer management application is based on customer attributes (including natural attributes and behavior attributes), from a different point of view of the deep-seated customers to understand, in order to add new customers, increase customer loyalty, reduce churn, increase customer consumption.

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6, personalized precise recommendation

In the internal operator, according to user preferences recommendation of various services or applications are common, such as the recommended application store software, IPTV and other video program recommendation, and by association algorithms, text summary extraction, the sentiment analysis and other intelligent analysis algorithm, it can be extend to the commercial service, the use of data mining technology to help customers precision marketing, future earnings may come from customers into value-added parts.

Big Data industry has entered the development of "fast track", needed a lot of outstanding talent backing of big data. You can enter at the beginning of the rise of Big Data industry to be among the industry, have a chance to become the era of beach-goers.


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Origin blog.51cto.com/14217196/2404899