By providing a one-stop big data analytics solution for enterprise business scenarios, it can bring value contributions to enterprises from four perspectives: increasing revenue, lowering costs, improving efficiency, and controlling costs.

1, increase revenue

The most intuitive application, that is, the use of data analysis to achieve digital precision marketing. Through in-depth analysis of user purchasing behavior, consumption habits, etc., the user profile is carved, and the results of data analysis are transformed into actionable and executable customer management strategies to reach more customers in the best way to achieve growth in sales revenue.

The following figure shows the analysis of promotion revenue and expenditure measurement, which provides a decision-making basis for advertising.

The following chart shows channel sales analysis, which provides data support for channel support.

2, cost reduction

For example, through data analysis to achieve the management of financial and human resources, so as to control the costs, expenses, and realize the role of cost reduction.

The following figure shows the analysis of production costs to understand the cost components.

The following chart shows a comparative analysis of the period costs, to control the cost situation.

3, improve efficiency

Every enterprise will issue relevant reports, the use of data analysis tools, do not know the technical business personnel can also be achieved through a simple drag and drop agile self-service analysis, without the need for business personnel to raise demand, IT staff to do the report, and greatly improve the timeliness of the report to improve the efficiency of the use of the report.

Through the data analysis tool, it can be displayed on the PC terminal, and also supports the mobile Kanban, which can provide a perspective on the operation anytime and anywhere, and improve the efficiency of decision-making.

4. Risk Control

Is the budget overspent? Is the debt overdue? Is the stock out of stock, out of stock? How about the customer's payback rate? Is the equipment running normally? Which products need to accelerate production to achieve production and sales balance? ... In fact, almost every business encounters a variety of risk issues. Through data analysis, it can help enterprises carry out real-time monitoring, and provide proactive warnings for the parts that deviate from the budget and the values that deviate from the normal range, so as to reduce the risks of enterprises.

The following figure shows the tax burden rate indicator, when the comprehensive tax burden rate is too high, it can realize the prompt and warning.

The following figure shows the important indicators of early warning, focusing on monitoring the gross margin of the project.