data, the "blood" in business activities-pg电子下载
issuing time:2020-11-27 10:49author:宁波中意液压马达
with the advent of the 5g era, life is flooded with all kinds of information, dizzying, all kinds of related and irrelevant information actively or passively enter our vision, affecting our cognition and judgment of various things. this is a big era, but also a small era. the big era is that people’s contact and communication with the outside world are getting more and more convenient. talents do not go out and can know thousands of miles away. the small era is that people rely more and more on the input of external information. without in-depth thinking about the meaning behind the information, it is more and more likely to be manipulated by public opinion or some people. what information is needed as an individual? how to identify the authenticity of the required information? what is the connection between information? this is a problem.
from the perspective of business management, it is about to gradually enter the 5g information era. for enterprises, what information is needed? how to confirm the truth and accuracy of the information? how is the information related to facilitate statistical analysis of the information to determine the business performance of the company and point out the direction for subsequent improvements? this is also a problem, and a big problem!
in order to explain the importance of information to an enterprise, from the perspective of informationization, enterprise operation has four stages: 1. hand-made workshop stage, with few varieties, small output, low requirements, few workers, long delivery time, low competition, and cost low, high profit
2. machine application stage
few varieties, large output, low requirements, many workers, long delivery time, low competition, low cost and high profit
three, the automation stage
there are many varieties, large output, high requirements, among workers, short delivery time, competition, high cost, and profit
fourth, the intelligent stage
many varieties, fluctuations in output, high requirements, few workers, short delivery time, high competition, high cost, low profit
the first and second stages belong to a low-competition and low-demand environment. there is only one condition that determines the survival of an enterprise: output, which is how much output. due to the small number of products, large orders, and few simple product processes (single equipment output), the factors that affect the output are basically the number of equipment and personnel. as a business operator and managers at all levels, basically only need to pay attention to two data: production and price. other data can basically be ignored, the corresponding influencing factors are less, the difficulty and depth of business management is low, and the requirements for establishing data system management are not high.
with the deepening of market competition, the market has higher and higher requirements for corporate competition, involving product requirements (complex and sophisticated), price, delivery, quality, after-sales, social responsibility, environment, laws and regulations, etc., and corporate operations consider there are more and more factors, and the success or failure of business operations needs to assess the balance between various factors. the demand for various data collection and statistics is increasing, and the proportion of cost, delivery and quality factors is increasing. in order to reduce costs, meet delivery time, and improve quality, business operations need to upgrade from hardware and software. in terms of hardware, business operations are gradually entering the stage of automation and intelligence to improve the efficiency and quality of single equipment and process chain integrated equipment; the company’s long-term business goals set out to establish a data management system and an operating system to give play to the efficiency and quality of the single hardware and integrated systems. it can be seen that at this stage, for business operations, the data that is concerned are: overall target performance, and determine all related element data and time elements of the target.
what is the role of data for business operators and managers at all levels? it is explained in three levels:
1. at the level of business operators;
2. level of managers at all levels;
3. operator level;
at the level of enterprise operators, the goal of the enterprise is to operate continuously. in short, it is to make money, and to make money for a long time. how to ensure that the enterprise makes money? regardless of the business industry and product selection, on the basis of relatively fixed product structure and customer structure, in the face of market competition, the factors that business operators pay attention to are: price, cost, delivery date, accounts receivable, cash flow at the same time, in order to prevent the data collection cycle from being too long, the statistics of cost, delivery time, customer satisfaction and other factors are not timely and accurate, which affects prices and cash flow. therefore, business operators are concerned the data are: price, cost, delivery date, accounts receivable, cash flow, customer satisfaction and other core elements timeliness and accuracy of data collection.
business operators can control business operations according to the above-mentioned data collection cycle, such as week, month, quarter, and year. in the modern market competition environment is changing rapidly, the requirements for the time cycle are getting higher and higher, and the time for the company to reflect sensitivity and information adequacy requirements are getting higher and higher, which requires enterprises to collect relevant information and data more and more comprehensively and timely, otherwise it is easy to miss market competition and reduce the competitiveness of enterprises. this is the era of intelligence. background requirements.
for managers at all levels, on the one hand, it comes from the market's requirements for the company (reflected through the requirements of external departments or business operators); on the other hand, it comes from the timely control of the work status of themselves or in charge, so as to make timely improvements. the last aspect is the requirements for coordination among various departments. the efficiency, quality and results of cooperation between departments are related to the realization and improvement of the performance of the department itself.
therefore, managers at all levels need to decompose the performance data of the department itself and the performance data of the coordination between the departments from the data indicators concerned by the operators. the data indicators concerned should include: price (mainly sales and purchase), cost decomposition index data (efficiency, per capita output value, scrap, other, etc.), delivery date (plan, plan achievement rate), accounts receivable (sales), cash flow (financial), customer satisfaction (new products, quality, service, delivery, etc.), data collection cycle & accuracy, inter-departmental coordination index data, etc.
from an operator level, from a personal point of view, it can reflect specific data related to personal work performance and reflect personal income-related data, such as output, quality, process execution, discipline execution, etc.; from a company perspective, it is first-line related data is one of the foundations of all data and the prerequisite for subsequent performance statistics of related indicators. the completeness, systematicness, timeliness, and accuracy of on-site data collection are the foundation for a company to establish a data management system.
to sum up, the enterprise management process is an information cycle management process of establishing company goals, breaking down departmental indicators & inter-departmental cooperation indicators, first-line data collection, statistical analysis, transmission, decision-making, execution and collection. in the era of manual data collection, there are problems such as difficult collection, low accuracy, and long cycle. the intelligent era is an effective way to solve information collection, but the premise is to design the required information indicators, collection methods, transmission methods, and cross-department cooperation, in simple terms, means that the management plan is relatively complete, and the form design and application have been relatively mature. under this premise, we will make full use of erp, mes, k3 and other systems to make intelligent improvements and improve information.