The company also wanted to establish an internal horse racing mechanism. Real time understanding of the current business situation in various regions, when problems arise, can know who is at fault, which link is at fault, and how to improve? How to meet the data analysis demands of different levels of marketing?

The main analytical methods used by the business department were offline Excel and SAP BO, occasionally using another BI tool for simple data analysis work.

1. Limited performance: The report opened slowly, queries were slow, took a long time, and the performance was unstable.

2. Lacked analytical ability: There were many fixed reports, but the frequency of business use was low, and there was a lack of exploratory analysis ability, which could not respond to the increasing needs of the business.

3. High threshold for use: The requirement for professional level of business personnel was relatively high, resulting in high personnel costs.

4. Weak customization ability: unable to support unique business scenarios.

Build a unified data analysis system for the retail enterprise, achieving indicator dashboards for different levels and roles from decision-making to management to execution, to help business decisions realize the value of data.

1. Indicator system

The indicator system is the foundation of data analysis business. Establishing an indicator management system covering collection, declaration, review, presentation, and application is necessary to unify data definition and caliber and ensure the accuracy of analysis results

2. Analysis System

Covering the operations center, finance center, brand digitalization center, supply chain center, and comprehensive management headquarters, prioritize the development and implementation of analysis content technology for high priority and high business value business analysis content, and synchronously establish a framework for forming a unique business data analysis system, laying the foundation for further promoting the in-depth application of data analysis capabilities in business.

3. Permission system

Combining the organizational structure of enterprise and the business organizational structure, establish a permission management system and execution methods, simplify and optimize permission management work through technical means and product functions.

4. Integrated development

Develop interfaces for identity verification, content embedding, and mobile terminal application system integration, connect the data analysis platform with other applications, and expand the platform's comprehensive service functions.

1. Improved analysis efficiency

Expanded analytical capabilities to cover the entire enterprise and strengthened the development of the analyst team within the company. By leveraging the platform's data analysis capabilities, the efficiency of business data analysis has been improved, and the granularity and breadth of data analysis have been refined.

2. Improved data quality

With the continuous sorting and improvement of supply chain and internal management related data, the overall quality of the group's data continues to improve. The deepening application of the capability data indicator system and the continuous improvement of data standards have also led to the continuous improvement of analytical results based on high-quality data foundation.

3. Enhance management capability

Each business unit continuously improves the construction of its data analysis system based on the data analysis platform. The combination and complementarity of the data analysis system has further promoted the improvement of the overall data analysis system of the group, paving the way for enhancing management capabilities based on digital management development strategies.

4. Expand the application scope of data

The top-down promotion of data analysis platforms will gradually extend to all aspects of the business layer, not only serving core management personnel, but also extending to various aspects of enterprise operation. The continuous expansion of the platform's application scope brings about an overall improvement in digital management capabilities.