Inadequate visibility, using dots instead of surfaces cannot reflect comprehensive performance

Enterprise decision-making relies heavily on experience, with incomplete indicator systems and a lack of ability for early warning and prediction of indicators. The timeliness of business management is poor, and the degree of refined operation of the enterprise is insufficient

Inability to see through, lack of correlation in indicators, poor interpretability

Indicators only know their results, but it is difficult to determine their causes. It requires a lot of time to communicate and collect information across departments, and cannot explore the underlying reasons from the data itself

Inadequate attention to detail, complex and diverse indicators, and lack of systematic management

Lack of easy-to-use, one-stop user self-service platform, making it difficult to complete core business scenarios such as indicator monitoring, indicator self-service analysis and prediction, closed-loop management, etc., which cannot meet actual business needs