GE Share-Mobile data analytics businesses need granular operations

Operations are important for businesses because a good operating system makes it easy for businesses to respond to situations in the marketplace. When we entered the data age, the business in the corresponding changes in operations, from the initial extensive operation gradually to the refinement of operations.

First, why do enterprises need to do fine-grained operations ?

As the Internet, media, users, the market changes, the enterprise found in the past they do the rough-type operation has been unable to effectively improve efficiency and increase enterprise users, so some enterprises began to look for new operating methods, such as the gradual transition to CPM (per thousand people cost) of the fine management, Through this operation to improve the efficiency of operations, so that the enterprise advertising efficiency as far as possible maximize.

For enterprises, the advantage of fine operation is that the target user groups or individuals can be traced and portrait of the characteristics and portraits, help enterprises to analyze users in a certain period of time the characteristics and habits of content, and finally let the enterprise form a personalized service based on user characteristics.

Because of this, enterprise operation in the digital age, the need for fine operation to better from the management, marketing to enhance the user's service experience, while the differentiated services to make operations more refined.

The traditional operation of enterprises has several serious problems, such as a single operation mode, can not be timely according to market and user changes to make changes, which led to the content and form of enterprise operations difficult to pull new users, but also can not activate the old users, which led to enterprises in the digital age must be operational changes to seize users. Therefore, the enterprise operation to refinement is the inevitable trend.

second, the value of the big data to the refinement of the operation?

Big data is no doubt about the marketing value of the enterprise, and the same big data gives the enterprise a lot of help in fine-grained operations. For example, organizations can build a number of user-experience-based detection models that are used to analyze the attributes of enterprise users, depending on the amount of user data they receive. These models are used to analyze the key points of contact for the product or shopping behavior of the user, and then to detect the conversion rate between each contact point.

For example, users from the enterprise's homepage into the product library to view product details, put the product into the shopping cart and the final purchase and payment of contact points, through such testing can be measured from the user to see the product to purchase the experience between the human, and then based on such results to modify their operating mode, Try to make the shopping environment that suits the user's liking.

In fact, the value of big data to the refinement of business operations in three important dimensions:

first , to help enterprises understand the user from which channels come in;

second , what these users are concerned about;

Third , whether these users are new or old users.

Through the analysis of these three dimensions, enterprises can decide their own delivery strategy and direction, which is the value of big data to the refinement of operations.

In analyzing the channel from which the user comes in, can help the enterprise discover more traffic source and need in which channel strengthens the delivery, for example the user is from the microblog,, the forum or the portal website, thus helps the enterprise continuously adjusts the marketing to launch, discovers which channel has the potential and the value which attracts the user, if has not been excavated, can continue to dig

In sharing the user's attention to what aspect, through the user to the product click, the topic discussion, the content forwarding ability aspect carries on the big data analysis, may help the enterprise to effectively find the user likes the interest point and accepts the content direction, facilitates the enterprise in the operation content and the form to make the adjustment in time.

Finally, through the user's new and old observation and analysis, can let enterprises do precise operation of the time to master the user's life cycle, know when to what kind of users to marketing content, and help enterprises find ways to activate the old users.

So we can see that big data on the enterprise fine operation of the value is very huge, of course, this is only one aspect, in addition, big data can also make the enterprise on the social platform of the operation more perfect, as far as possible to allow enterprises to have an ideal reputation, and some bad speech to do public opinion monitoring, etc. And then product improvements based on data, and leveraging big data to better drive the user experience, driving business goals forward in the right direction is the value that big data brings to operations.

How does Big data drive refined operations ?

As mentioned earlier in the article, companies are operating to La Nieu, retain and promote life, only in this way to help enterprises to increase revenue and increase the activity of fans. In the era of mobile internet enterprises to achieve fine operation, must be inseparable from the help of big data. Therefore, enterprises in the current want to do a fine operation, must be driven by big data, it is possible to improve the efficiency and effectiveness of operations.

Because of the analysis ability based on big data, it can make the enterprise operation to do fine monitoring and segmentation for the user, so that the enterprise can carry on the individualized service according to different users ' needs, so that the marketing content of the enterprise is more accurate and effective, and the activity of the whole fan user group will be improved. So how does big data drive granular operations specifically? Specific as follows:

1. Big data is important for fine-grained operational monitoring

Our previous operations monitoring has more to do with the subjective judgment of the user or operator about what happened, the lack of real and effective data support and models to help solve the problem. And big data is more enough to allow enterprises to model data and effectively collect data for analysis, to help enterprises to quickly find and solve user data anomalies, to operate as an auxiliary monitoring role, providing valuable reference for enterprises.

Let's look at an example of how shop 1th is doing, and when customers enter shop 1th, they enter the buying stage of the guide customers. At this stage, how to increase the purchase amount of each customer, and in the process, to achieve the optimal allocation of goods and various resources, is the key to the operation. Big data once again became the helper of shop 1th.

2. Easy for enterprises to subdivide the target users

3. Enable enterprises to effectively activate users with big data

Enterprise operation is very important is the activation of the old user, but how to activate the old users, and better communication with users, almost the enterprise is scratching their heads. However, the use of big data technology allows enterprises to manage and excavate the user life cycle, so that the enterprise to the different life cycle of users to label the management, so that the enterprise timely to the relevant operational information to the users of different life cycle.

In short, the use of big data will make the refinement of the operation of the enterprise more effective and targeted, and for operators, they are the closest to the user of the gateway, can borrow big data to the user's accurate analysis can reduce the operator unnecessary behavior, thereby improving efficiency and increase conversion rate. Therefore, it is hoped that the enterprise can use big data rationally to make the related operation strategy, and improve the operation ability of the enterprise better.

Data operations

Zhuge http://zhugeio.com/news/?p=200

GE Share-Mobile data analytics businesses need granular operations