The IT construction of small and medium-sized enterprises is different from the standardized project management of large enterprises. Due to the limitations of personnel, budget and management, many places need to do different budgets and management. So based on this situation, how to build informatization for small and medium-sized enterprises and how to plan the data management system of the enterprise is a difficult problem for everyone.
Take Zhejiang East Building Materials as an example. Zhedong Building Materials Group is a construction-oriented enterprise, mainly engaged in building materials. In the process of IT construction, it is also faced with such troubles.
For small and medium-sized enterprises, how should informatization be positioned in the enterprise? Ma Yongwei, deputy director of the strategic development department of Zhedong Building Materials Group, believes that informatization is an important carrier for enterprise standardization, processization, systematization, and dataization. , reduce costs and increase efficiency.
How to understand the "four modernizations"
The informatization of enterprises must first formulate standards. At the beginning, when there were only various systems, the accounting system of the enterprise, the management of various regulations, and various business systems were all fragmented and independent. The first thing we need to do is to standardize the various elements of management. For example, sorting out the inventory, sorting out the accounting system, sorting out the management process. Only when every behavior of an enterprise is standardized, can every generated data have analyzable value. For example, when the data quality is poor, your various analyses such as sales analysis, production analysis, and inventory occupancy analysis are not credible.
Establish a process system on the basis of standardization. For example, the online office platform and internal management system are incorporated into the IT system.
The second is systematization . The system on the enterprise is often reduced to an IT tool. Therefore, the informatization tools of the enterprise must be integrated with the operation system of the company. The operation process of the enterprise, how the effect is reflected depends on the data .
Principles of Information Construction
1. Make IT planning according to the actual situation of the enterprise
There are various aspects of the IT foundation of an enterprise. For example, some enterprises have insufficient IT personnel and the overall quality is not high. In this case, IT needs to do subtraction, such as integrating the ERP system into the office platform and taking the lightweight route.
2. The system is simple and clear
The construction of the system also takes into account the actual situation and is simplified. For example, using the built-in business intelligence system on the office platform avoids the need for personnel to learn multiple platforms.
Around these two principles, it took nearly two years to build the following IT framework around the actual situation of Zhedong Building Materials Group.
After basically completing the enterprise informatization standards and data standards, it is necessary to make efforts to build business intelligence, through the data analysis of the platform, to reflect the problems in the business process of the enterprise, to force the improvement of enterprise management and the improvement of IT systems.
Problems existing in information construction and countermeasures
The system built around this idea is not without problems in practice.
For example, major enterprises generate and collect a large amount of data and make a large number of reports in their daily business activities, but these data and reports are not fully benefited in many cases.
On the one hand, the quality of the data is relatively poor. There are a lot of paper reports in the enterprise, but few of these reports generate value. In many cases, companies still stay in the staged management of reading and analysis, quarterly reports, half-yearly summaries, and annual planning, and usually do not really make use of these data. Therefore, the problems existing in the production, operation and management activities have not been adjusted in time.
On the other hand, there is a lack of accurate grasp of the current business situation of the enterprise. The data application of the enterprise's customer management system needs to be improved. The imagination I see now is a management of the sales project by the salesman. There is no way to specifically count the data of each stage of management to help the salesman to close the deal. At the same time, there is a lack of insight into the logic behind the business and visibility and prediction of the future of the business.
So how can we make the most of this data?
Get the most out of business intelligence and chart analysis.
Often in the enterprise, many managers, because they are not sensitive to the data itself, want to present it in a simpler way, so they need to launch a data analysis system.
In the process of construction, it is hoped to achieve four goals.
The first point is to transform the data analysis of the enterprise from the current monthly analysis to process management, and find and solve problems from the process management.
The second point is to combine the operation management analysis system with the data system, how to use information-based tools to help the enterprise focus on the realization of strategic goals, find problems in the business process to make adjustments, and formulate the next strategy is the direction of development.
The third point is to use business intelligence to force data adjustment. The establishment of enterprise standardization has significantly improved the quality of data. Enterprises need to use this value and data quality to improve their internal management.
The fourth is to make decision-making models and operation forecasts to help senior managers see through the operation of the enterprise.
Selection of business intelligence systems
The main points of selection are as follows:
BI program cost-effective evaluation cost forecast;
The matching degree of function and enterprise function;
Case implementation operation and maintenance inspection;
Ability to analyze and integrate data;
Flexible development and design methods;
Cross-platform and cross-system integration capabilities;
Visual display ability and friendliness;
Support mobile device development trends;
Ensure the security of enterprise data;
High-quality after-sales operation and maintenance services.
In the selection process, clarify the selection requirements, and formulate corresponding goals according to the selection steps. Before going online, sort out the internal data to ensure the quality of the data, and then understand the mainstream products in the market, match the products that meet the needs, and understand the degree of closeness.