The era of big data: Do small businesses also have spring?

Speaking of the application of big data, let's look at a joke case: a supermarket analyzes the shopping data of a female customer (including shopping list, browsing items, consulting information, video surveillance information, etc.). ), according to the analysis results, the pregnant baby samples were sent to the female customers, which made the father of the female customers very angry and immediately called the supermarket to complain because the daughter was underage! The supermarket manager immediately called to apologize, but the fact is that the little girl had to tell her father the truth quickly because she couldn't cover her swollen abdomen: she was really pregnant.

For enterprises, big data is sometimes like a detective, which can clear the fog and find out the essence of the problem and the solution. The key is whether you really know how to control it and make it work for you.

On weekdays, most of what we see are cases of how business giants like Amazon use big data to formulate business strategies. So, is big data meaningless to SMEs? How do SMEs apply big data?

Hugo. Com learned from an article published by the British Broadcasting Corporation (BBC): Satya, the new leader of Microsoft? Nadella said that in the next four years or so, for large companies, the value generated by the "data dividend" will reach10.6 trillion US dollars. So, what about small companies? Does this kind of big data only work for big companies?

Many experts believe that big data and data analysis tools can not only help big companies, but also help small companies to grow rapidly and even go global. All kinds of data can be turned into easy-to-understand and effective tools to help small businesses seize business opportunities.

Dave Bailey is the president of Mediatonic Digital Games Company, whose game business is developing rapidly. He said: "Big data is very important to our company, and it is also important to other small and medium-sized enterprises. Big data can provide us with guidance and let us formulate more accurate development strategies. "

Mediatonic is a digital game company, which generates massive user data in gamers' accounts, such as when and where users play games online, how long they have played, which part of the game they like to play, which is more difficult or easier, and so on.

Dave Bailey said: "It is very important for our industry to understand the behavior habits of gamers. Because today's games are often downloaded for free, and most of the income of game companies comes from the purchase behavior of players during the game. Therefore, we must understand the interests, hobbies and habits of players, so that we can get what we need and get benefits. "

"We can test different versions of the game in different regions at the same time, and then adjust the game according to the player's reaction and the resulting real-time data. Now we can fully understand the habits and other information of each gamer through the data. " He added: "For a small company, the cost of storing a large amount of data is very low, and the data is very useful."

Another example happened in Criteo, a French online advertising company. With the help of data analysis tools, the company's business scale has grown rapidly.

Criteo understands customers' browsing habits by tracking their online browsing records, and finally makes personalized advertisements to attract the interest of different groups. If the content browsed by users changes, the advertising content can change in real time, and users can see different advertising content.

Criteo uses MongoDB as its main database. At present, there are 2.5 billion banner advertisements every day, and it also serves more than 5,000 advertisers around the world. To do this, it must store an extra 20tb of data every day.

Andrew Jennings, chief data analysis director of FICO, a data analysis company, said that for a single enterprise, it is often impossible to directly use big data and make it work, but you can obtain useful data services through big data analysis tools, refer to these data and make decisions. This behavior is like looking at a map or weather forecast.

Jonathan Gray, CEO of Continuuity.com, an application development platform, said: "Nowadays, mobile applications are popular all over the world, and many enterprises can get data by mobile phones and benefit from it. We help application developers build and improve applications through data management systems such as Hadoop, so that they can obtain and analyze real-time data streams. "

In specific business practices, there are countless examples of using big data. For example, an umbrella shop or an outdoor barbecue shop often pays attention to the weather forecast data and observes the consumer sentiment on social media. In addition, it can use the smart phone tracking system to locate customers. Merchants collect all kinds of effective data in these ways, and make a series of business decisions on this basis, such as how many goods to store and how to promote their business.

There is no doubt that many small businesses can't get the same-store customer data as easily as Amazon, but now there is a lot of free public data, which can also play an important role in business decisions.

For another example, taxi companies use the data of late trains and heavy traffic to make taxi business plans and decide when to dispatch vehicles centrally or how to deploy vehicles.

Jed Mole, a data analyst, said that a fledgling company has very limited customer data, but it is still very important to establish contact with big data. He said: "We live in a data age, and companies of any size can't ignore data. I believe that big data can help a small company grow into a big company. "

"Any company, big or small, will track customer data and after-sales data. According to these valid data, they can quickly respond to customer behavior and push effective information to customers. "

Nowadays, the data analysis market is full of vitality, and various data service companies have sprung up. For example, some companies provide APP data analysis, and some companies collect and analyze raw data, then generate specific business information, and then provide practical and specific business solutions for customers.

In addition, social media is obviously an important source of big data for small businesses. It is not only a communication tool, but also an important channel to obtain market information. Data analysis companies such as Datasift, mBlast and SecondSync focus on transforming social media data into useful business information for large and small companies to use when making business decisions.

The above is what Bian Xiao shared for you about the era of big data: Do small businesses also have spring-related content? For more information, you can pay attention to the global ivy and share more dry goods.