What will the era of big data bring to enterprise informatization?

What will the era of big data bring to enterprise informatization?

? The arrival of the era of big data makes the informatization of enterprises more complete. What changes have the arrival of "big data" brought to the informatization construction of enterprises?

1, to achieve customer segmentation.

The development of information technology such as intelligent devices has changed people's consumption patterns, and customer-centered thinking is the development path of enterprises at present. "Big Data" can help enterprises segment customer groups and realize unique actions tailored for each group, thus improving customer transaction efficiency and reducing costs.

Step 2 simulate reality

With the increasing number of products loaded with sensors and the popularity of cars and smart phones, the data that can be collected has exploded. Social networks such as blogs, Twitter, Facebook and Weibo are also generating huge amounts of data. Through cloud computing and "big data" analysis technology, enterprises can be helped to store and analyze these data together with transaction behavior data. Through "big data" technology, these data can be integrated for deep mining, and in some cases, model simulation can be used to judge which scheme has the highest return on investment under different variables (such as different promotion schemes in different regions). So as to find new demand and improve the return on investment.

3. Improve the return on investment.

In addition to evaluating, predicting and improving the return on investment by simulating the real world mentioned above, departments with strong "big data" capabilities can also share "big data" and those with weak "big data" capabilities through cloud computing, the Internet and internal search engines, helping them create business value by using "big data", thereby improving the return on investment of the entire management chain and industry.

4. Manage customer relationships

The purpose of customer management application is to deeply analyze and understand customers from different angles according to their attributes (including natural attributes and behavioral attributes), so as to increase new customers, improve customer loyalty, reduce customer churn rate and increase customer consumption. "Big Data" can help enterprises analyze and understand the attributes of customers.

5. Realize personalized and accurate recommendation.

Within operators, it is common to recommend various services or applications according to users' preferences, such as app store software recommendation and IPTV video program recommendation. After intelligent analysis algorithms such as association algorithm, text abstract extraction and sentiment analysis, it can be extended to commercial services, and data mining technology can be used to help customers carry out precise marketing. Future profits can come from the share of customer value-added parts.

Take the daily "spam messages" as an example. Not all emails are "junk" because the recipients don't need them. After analyzing the user behavior data, we can send the needed information to those who need it, so that "spam messages" can become valuable information.

6. Data search

Data search is not a new application. With the advent of the era of "big data", people's demand for real-time and all-round search is increasingly strong. We need to be able to search various social networks, user behaviors and other data. Its commercial application value lies in linking real-time data processing with analysis and advertising, that is, real-time advertising business and social service of mobile advertising in applications.

The information of users' online behavior mastered by operators makes the obtained data "have more comprehensive dimensions" and have more commercial value. Typical applications such as "Pangu Search" of China Mobile.

7. Optimize enterprise resources

In the management or production of enterprises, there will always be a lot of information resources. If these resources are not effectively used, it will lead to the waste or loss of resources and increase the cost of enterprises. The application of "big data" technology can help enterprises integrate and analyze data in time, integrate and store useful data, help enterprises adjust opportunities, make maximum use of enterprise resources and reduce losses.

The application of "Big Data" technology enables enterprises to make better use of various information resources, more accurately grasp market trends and customer information, and further develop enterprise information construction.

The above is what Bian Xiao shared for you about what the era of big data will bring to enterprise informatization. For more information, you can pay attention to more dry goods sharing of global ivy.