What can big data analysis do?

The value of big data analysis is reflected in the following aspects:

1) Collect and sort out the consumption information of a large number of consumers and use big data analysis for precise marketing;

2) SMEs can use big data analysis to transform;

3) Under the pressure of the Internet, traditional enterprises need to make full use of the value of big data analysis.

Big data analysis, a new trend in the Internet era.

In this era of rapid hardware development, an important problem that puzzles application developers is how to find that delicate balance among power consumption, coverage, transmission rate and cost. Enterprises can use relevant data and analysis to help them reduce costs, improve efficiency, develop new products, make more informed business decisions and so on. For example, combining big data analysis with high performance analysis can solve some problems in real life.

What can big data analysis be used for?

First, big data can predict the future.

In short, big data and data mining can give us the ability to predict. Now our life is digital, and everything we do every day can be recorded through big data, just like every credit card transaction is digital and searchable. For enterprises, most financial and operational data are kept in the database. Now, with the rise of wearable devices, everyone's heartbeat and breathing are digitized and saved as usable data. Let the machine understand us.

Second, if the pattern remains the same, then the future is no longer the future.

Now many different things in our lives have different forms of expression. For example, a person can travel between work and home on any working day and go somewhere on weekends. This pattern rarely changes. Shops will have peak hours and free hours on any day, and this pattern is unlikely to change. Enterprises will require higher labor input in some months of the year, and this model is unlikely to change.

So the computer collects these data through the terminal, analyzes these data, and then makes reasonable arrangements for the audience. Computers can also know when is the best time to promote sales. For example, this person washes the car every Friday, or a coupon is a car wash promotion. If this person goes on holiday every March, he can provide all-round services. At the same time, the computer can also predict the store's all-day sales forecast, and then formulate business strategies to maximize total revenue. Once the future becomes predictable, we can always plan ahead and prepare for the best action. This shows that big data gives us the power to predict the future. This is the power of data mining. Data mining is always associated with big data, because big data supports a large number of data sets, which provide the basis for all predictions.

Third, what is machine learning?

Just now we analyzed a data according to its processing method. Suppose this data contains the purchasing behavior of a group of shoppers, including the total number of goods purchased and the number of goods purchased by each shopper. This is by far the simplest statistical analysis. If our goal is to analyze the relationship between different types of shoppers, or if we want to speculate on the special preferences of specific types of shoppers, or even predict the gender or age of any shopper, we will need a more complex model, which we call an algorithm by inputting data. Machine learning can more easily understand all the different types of algorithms developed for data mining purposes, which is convenient for our life.

4. What is data mining?

Through computer learning algorithm, the unknown is predicted by existing data, which is the reason why the miracle of data mining is closely related to machine learning. What can big data analysis do However, the strength of any machine learning algorithm depends largely on the supply of a large number of data sets. No matter how complex the algorithm is, it can't make predictions from several rows of data, and it needs a lot of data as samples. Big data technology is the premise of machine learning. Through computer learning, we can gain valuable insights from existing data sets, which is data mining.

Not only the above, but also more, such as:

1) analyzing the root causes of faults, problems and defects in time may save billions of dollars for enterprises every year.

2) Plan real-time traffic routes for thousands of vehicles to avoid congestion.

3) Take profit maximization as the goal, analyze consumption information, price and clear inventory.

4) Push the preferential information that the customer may be interested in according to his buying habits.

5) Quickly identify gold medal customers from a large number of customers.

Using Big Data to Analyze Precision Marketing

Big data analysis is only a representation or feature of the development of the Internet at this stage. There is no need to myth it or keep it in awe. Under the background of technological innovation represented by cloud computing, these data, which were originally difficult to collect and use, began to be easily used. Through continuous innovation in all walks of life, big data analysis will gradually create more value for mankind.