How can data integration APIs become the key to enterprise digital transformation?

The wave of enterprise digital transformation is vigorous, and it is not only the IT technology industry that is involved in it, but also all walks of life.The API management platform provides interface management services for developers, products, and testers. The data integration API can help developers better manage API interfaces and easily create, publish, and maintain APIs.In order to complete the control integration and business process integration of the enterprise, the integration problem of enterprise big data and database must be solved.Before API data integration, the data should be identified and cataloged, and the metadata model should be determined to ensure that the data is distributed and shared in the database system.

Using API data integration:

(1) It is necessary to comprehensively analyze and make decisions on the data generated by various information sources.

(2) To deal with some common information bases that multiple applications need to access.

(3) When it is necessary to obtain data from a data source to update another data source, especially when the data formats between them are not the same.

Comparatively, data integration is more flexible than presentation integration.However, when business logic changes frequently, data integration will face difficulties. Data integration API automation can be implemented to solve problems such as data duplication and data conflict caused by complex business.

Data Integration API Automation

Compared to manual testing of API interfaces, automated testing is a standardized design.Set a certain standard threshold according to the agreement to test the interface to check whether the interface meets our basic performance requirements, but automated testing is not a panacea. When to intervene, how to intervene, and what kind of projects are suitable for automated testing, these are allWe need to think.

When to intervene: It is not suitable for automatic test intervention at the beginning of the project. Business stability and faster requirements lead to interface changes anytime and anywhere. The code change rate is very high, and maintenanceThe cost is very high; at a later stage, the project stabilizes and the project enters the maintenance phase, at which time automation starts to intervene and prepares for regression testing.

How to intervene:The starting point is the degree of automation and the rate of automation. Although the previous projects are not suitable for automated testing, you can choose some stable, publicof testing.

Suitable for projects: Projects that intend to do regression testing and need long-term support and maintenance; stress testing projects; coverage testing projects.

Application programming interfaces (APIs) have become a key digital transformation enabler for businesses looking to revolutionize operations and products, especially as organizations migrate more and more data and applications tocloud.APIs were previously largely seen as a technical means to an end, but now APIs have become a high-level strategic focus, and developing, managing, maintaining, and securing API resources has become a major consideration for technology leaders andGreat challenge.API is not only an important tool to realize automation by providing communication between applications and services, data integration API provides business value to enterprises and becomes the key to digital transformation of enterprises.

Next Second Data Nexadata presets 40+ connectors for multiple systems, including ERP, CRM, marketing systems, e-commerce platforms, etc. (new connectors are updated every week), and preset data indicators for business scenariosModel.Business personnel only need to copy and paste the corresponding system API interface to automatically generate business data analysis indicator dashboards, easily open up business systems, integrate business data, and help enterprise data integration and digital transformation.

For example, marketing personnel can automatically obtain Douyin's live broadcast data, advertising data, user data, etc. by copying and pasting the API data of the huge engine, easily completing the data connection of advertising channels, and according to marketing businessScenarios are categorized and summarized.

After connecting the massive engine, Nexadata will automatically generate marketing analysis reports such as: advertising plan analysis report

Without modeling, you can easily analyze the cost of each advertisement and business indicators such as conversion effect and cost in 3 minutes, and update business data in real time.

Through the automatically generated visual data dashboard, more intuitive and multi-dimensional monitoring and analysis of business data.

(1) Channel customer acquisition trend: you can see which channels have higher customer acquisition ability every day

(2) Traffic funnel: You can see the whole process of advertising from viewing-point-buying, which links have lost users, indicating that this link needs to be optimized

(3) Histogram of retention of new and old users: you can see which channels brought users will be converted from new users to old users, indicating that the users brought by this channel have high stickiness and high loyalty

(4) New user retention curve: You can see how many days later new users brought by each channel will be lost. Generally, the longer the loss, the higher the loyalty of channel users.

(5) User path: Some users may come in from multiple channels, and the user path can see which channel path has the most users