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This article mainly explains "how to use NBI big data visualization tool to do RFM model analysis", interested friends may wish to have a look. The method introduced in this paper is simple, fast and practical. Now let the editor take you to learn "how to use NBI big data visualization tool to do RFM model analysis"!

Let's first take a look at what the RFM model is:

RFM model is an important tool and means to measure customer value and customer profit-making ability. In many analysis models of customer relationship management, RFM model is widely mentioned. The data model describes the value of a customer by three indicators: the recent purchase behavior of a customer, the overall frequency of purchase and how much money is spent.

Last consumption frequency (Recency)

Consumption frequency (Frequency)

Consumption amount (Monetary)

Next, classify members according to the above three indicators:

By sorting these three indicators from low to high in value, and taking these three indicators as XYZ axes, we can divide the space into eight parts, so that users can be divided into eight categories:

At this point, we can classify users according to the rules, and some users may ask, what strategy should I take next? Then we have sorted out each type of sales strategy for you:

So far, we probably have some understanding of the RFM model, so how do we build the RFM model or what tools to support RFM? then move on to recommend an extremely useful visualization tool for big data:

Let's take a look at the results:

Let's take a look at how to build:

As a new generation of self-service and exploratory analysis tool, NBI big data visual analysis platform always focuses on the new products which are simple, easy to use and emphasize interactive analysis from the point of view of users. We integrate all aspects of data analysis (data preparation, self-service data modeling, exploratory analysis, authority control) into the system to enable enterprises to manage and analyze data orderly and safely.

Product characteristics

Help the enterprise to discover the value of the data sleeping in the system, turn the data into information, guide the enterprise's decision-making, supervise the implementation of the strategy, improve the enterprise's decision-making ability and execution, and finally create value for the enterprise.

Easy to use: no technical background, just drag and drop, you can complete a visual graphical analysis report in 5 minutes.

Simple delivery: through simple click, drag and drop to achieve data connection and processing, quickly achieve data visualization requirements

Convenient integration: seamless integration with the enterprise's existing business information system, direct access to business data for real-time analysis

Security control: there are a variety of access controls to choose from. Designed to manage user information and manage access rights, but also support data-level access

Multi-terminal view: based on HTML5 technology, cross-browser, mobile terminal access; based on the BPX S architecture, does not need to be installed on the client computer, users only need to access through the browser

Support privatization deployment: support privatization deployment on enterprise applications to ensure data security; help enterprises reduce operating costs and achieve fine operation.

Rich graphics library: dozens of traditional graphics and new big data graphics components (such as Sanji diagram, treemap, hierarchical cluster diagram, thermal matrix, etc.) allow you to talk to data more intuitively.

NBI one-stop self-service big data visual analysis platform provides a variety of flexible deployment methods, supporting installation package mode installation, manual installation, docker image installation

NBI one-stop self-service big data visual analysis platform is cross-platform: it can be deployed and run on Windows, Linux, MacOS and other operating systems.

At this point, I believe you have a deeper understanding of "how to use NBI big data visualization tools to do RFM model analysis". You might as well do it in practice. Here is the website, more related content can enter the relevant channels to inquire, follow us, continue to learn!

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