First, the significance of building an intelligent data analysis platform
The business analysis of the enterprise is based on the premise and basis of the data. The strategy needs the data as the basis, the details need the data to explain and demonstrate, and the operation management needs the data to make the evaluation decision. Data is undoubtedly an important support for business analysis and business operation management.
With the continuous construction of the enterprise information system, each pharmaceutical company has built various information management systems in the finance, production, marketing, warehouse and other departments. With the development of enterprises, various information systems have accumulated a large amount of data during the operation. Data is accumulated in the operation process of the enterprise, but the data forms a data island in the computers and servers of each management function. Only at the company-level management meeting, the managers of each functional department will collect the reports. Discuss the analysis. The timeliness, reliability, accuracy, effectiveness, and relevance of the data directly affect the timeliness and quality of business analysis.
Second, how to build an intelligent data analysis platform
1. Data integration
Establish a centralized data warehouse system, connect the servers of each information system through the network, establish the data collection interface of each system, and form a centralized data warehouse through data extraction technology.
2. Data integration
Clean and organize the data of each functional department system, and maintain and supplement the data through the mobile terminal and the PC-side data entry terminal to form effective operational data for data analysis and calculation.
3. Data display
The data analysis model, data early warning model and data display system of the whole enterprise are built on the data set.
3.1 Establishment of key indicators (KPIs)
The key indicators on the platform are mainly used for daily monitoring and analysis, and can be discussed with the enterprise managers through research and research to form daily key monitoring indicators. For example: input and output, per capita cost and per capita output, scrap rate, inventory quantity and amount, inventory turnover rate, on-time delivery rate, and turnover rate.
3.2 Management of data access rights
Hierarchical report: A hierarchical authorization mechanism is established through the data platform. Different levels of management personnel can separately authorize access to different levels of reports to achieve the purpose of hierarchical access management.
3.3 Building a dashboard
Display key indicators and key performance through dashboards. Through the H5 technology to establish a unified access platform for mobile phones and PCs, managers can quickly access data at any time, and can establish an early warning mechanism to quickly obtain changes in management indicators and quickly respond to events in the course of business operations. Here are a few sample reports:
Comprehensive Analysis Table-01
Production Analysis Table-02
Capacity Analysis Table-03
Stock Analysis Table-04
Through the integration, analysis and display of the data of each functional system of the enterprise, it forms a unified, relevant and fast data analysis platform within the enterprise, providing an excellent tool for management decision-making at all levels of management. Bringing together disparate data to create new insights that make regulation easier and faster, allowing managers to make better decisions quickly. Aoxing has a professional information consulting team and data integration solutions, please contact us.
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