Big data analysis tools escort you

　　Preface:

When talking about big data analysis tools, many people may not know what big data analysis tools are. At least most industries seldom mention big data analysis tools, big data analysis, and big data visualization. It can be said that big data technology architecture, big data analysis software, or data mining software. The big data analysis tools mentioned here refer to various big data analysis and big data mining software. Today, let's take a look at the application prospects of big data analysis tools:

The role of big data analysis tools in Marketing:

Next, let's talk about the role of big data analysis tools in the marketing field. Marketing Monitoring and evaluation: this is a field that is easily overlooked, because it involves specific tactical work.

In the future, most people will pay attention to the final effect of marketing results. For example, if a customer marketing product is built, the final conversion will be determined. However, there are many links that may affect user conversion. For example, contact conditions, such as attraction, such as consumption lagging. These need to rely on big data based on more accurate answers from customers. If you can obtain data to gain insight into the user's usage behavior in the entire related product, you can gain insight into the potential loss risks and whereabouts of users. For example, you will find that the original high-quality customers have suddenly become inactive for a period of time, which may be risky, but are you busy with transactions recently? Or is he in love? This depends on big data for insight. Users may be paying attention to or already buying competitor products during this period, which can provide greater marketing management value ......

Application industry of big data analysis tools:

Currently, big data analysis tools are widely used in financial services, retail, healthcare/life sciences, law enforcement, telecommunications, energy and public utilities, digital media/Precision Marketing, transportation, and other industries. Including financial services (risk and fraud management, comprehensive customer analysis), law enforcement (real-time multi-mode supervision, network security monitoring), digital media/Precision Marketing (Real-Time advertising positioning, target customer group positioning, website analysis) many big data analysis tools are used, such as the eagleeye system under ant financial software and the Precision Marketing and Pushing System under the micro technology.

The financial data mentioned involves a wide range of areas, and there is a lot of data in my limited contact, such as the sales data of fund companies, the customer shares and transaction data, and customer contact data, customer website browsing data, such as bank data involving inbound and outbound accounts and data of basic customer information; for example, insurance companies have customers buying insurance data. In summary, it can be divided into the following categories: basic customer attribute data, customer product purchase data, customer transaction behavior data, Customer Preference data ...... What big data analysis can be done depends on what data can be obtained. If you can integrate data from third parties in the industry, more data can be mined. For example, if a fund company can obtain user browsing behavior data on the Internet, you can determine whether the user has recently followed related products and has not followed competitors' products. These can be implemented by applying precision marketing products.

Postscript:

In fact, there are many cases of using big data analysis tools. As long as you can think of the data you want to care about, big data analysis tools can achieve real-time and effective analysis for you. This allows you to learn about the various trends of big data in the market in a timely manner. At present, there is also a good free big data analysis tool-Magic mirror, you may wish to try it out.

Big data analysis tools escort you