Abstract
The modern network social mode accelerates the interaction of data. Under the background of the continuous development of big data and artificial intelligence technology, the ability to collect and process data has become one of the core competitiveness of enterprises. A good data management mode can also help enterprises to achieve more information resources, and win more opportunities in the industry competition, so as to obtain more benefits. The standard definition of big data by scholars in recent years is to search and make decisions based on massive data sets, and the data that can be used for analysis is the internal data of big data. The key to big data is not the massive data set, but the method to analyze the data. At present, big data has penetrated into the development and analysis of all industries, for example, the medical industry records the personal diagnostic data of patients with different diseases. Through comparative analysis and decision-making with the diagnostic data of other historical cases, a third-party reference is provided for the treatment of current patients, thereby avoiding misjudgment and misdiagnosis. With the rapid development of electronic components and data science and technology, IoT technology has gradually entered the lives of citizens. The concept of the Internet of Everything is no longer an empty talk. Smart homes have become a must-have smart device for most homes. Other similar smart cities, smart communities, and smart building designs have also begun to adopt IoT technology, and enterprise management and monitoring have also followed the trend. Connect with IoT technology. If an enterprise wants to gain a firm foothold in the industry, it not only needs excellent manufacturing level, but also needs to carry out effective cost management, and manage costs in a more scientific way, which can gain advantages for the company’s product prices. Because if the cost management of the enterprise is successful, it can reduce unnecessary waste of funds when the enterprise produces products, thereby driving the overall operating income of the enterprise. Through big data and Internet of Things technology, it can help in all aspects of enterprise management. Combining with the management dilemma of BYD in the era of big data, this paper proposes an enterprise management and monitoring method that combines big data and Internet of Things technology, business opportunity acquisition, business quality monitoring and other aspects have greatly improved.
Introduction
The state of an enterprise’s cash flow even affects the survival of an enterprise. Existing companies have a huge need for capital because of their desire for economies of scale and their eagerness to improve their position in the market [1]. Therefore, under such a background, more and more enterprise managers begin to pay attention to the management of enterprise cash flow, expecting to achieve the goal of long-term development of the enterprise through this method [2]. For the management of cash flow, enterprise personnel must do a comprehensive analysis and decision-making to prevent the occurrence of one-sided work. The matters involved in enterprise cost management are shown in Table 1.
Matters involved in enterprise cost management
Matters involved in enterprise cost management
With the advantages of decentralization, openness, and tamper resistance, blockchain technology has attracted great attention from the industry and academia [3]. It is essentially a distributed ledger that brings together technologies such as consensus algorithms, P2P, and cryptography [4]. All in one, and allow each node to achieve node consensus in a decentralized system. Blockchain technology uses hash chains to connect blocks and store data, and uses consensus algorithms such as POW to verify each other and update information [5]. With the rise and gradual application of Internet of Things technology around the world, personal data is also showing a trend of explosive application. The larger the scale, the higher the security requirements [6]. Blockchain technology can provide a security for enterprises to manage data ownership. a new solution [7]. At present, a large number of scholars have tried to use blockchain technology to empower the direction of enterprise data ownership marking to solve the problems related to confirmation in the current enterprise management data ownership system [8].
Usually, the IoT system is divided into three-layer architecture: one is the application layer, which provides readable and actionable data to IoT users according to the data collected by the sensor devices and the data processing results of the server [9]. Common applications such as the Internet of Things and the Internet of Vehicles etc.; the second is the network layer, which communicates between devices through the Internet, the layer that carries the communication between the devices is the network layer, and the key technologies are Bluetooth, WIFI, etc.; the third is the perception layer, that is, the layer that uses sensor devices to collect external environmental data, the key technologies are GPS, RFID and so on [10]. Current scholars predict the trend of applying IoT technology to enterprise management as shown in Fig. 1.
Big data often involves a variety of participants, and the definition of participants’ data rights is one of the key issues that hinder the development of big data [11]. With the further development of data science in the future, this contradiction will be further stimulated, and once a contradiction in the direction of data occurs, it usually involves large enterprises [12]. How to quickly determine the ownership of data in the process of big data technology development, and how to use big data technology for enterprise development has also become the focus of scholars [13]. Data governance and the development of data science have a positive effect [14]. The current investment in big data by enterprises in various countries is shown in Table 2.
Average investment in big data R&D by global high-tech enterprises in recent years (100 million yuan)
Trends in applying IoT technology to enterprise management.
As data processing gradually develops from enterprise competition to international competition, the Chinese government put forward a plan for future research on big data and enterprise management in 2020, and listed data ownership and infrastructure construction as equally important [15]. The statistics of the technical forum show that the correlation between big data technology and enterprises is getting higher and higher, and the specific situation is shown in Fig. 2.
The correlation between big data technology and enterprises.
With the advent of non-relational databases, data science has gradually become the focus of attention in academia and engineering [16, 17]. The data generated by human social networking is also gradually increasing, and big data technology appears in this context [18]. Its main purpose is to obtain key information from complex data sets and realize the role of comprehensive analysis [19]. Big data, as the name suggests, is a collection of massive amounts of information [20]. The information that constitutes big data is different from conventional data information, mainly because the amount of information has reached the level of ZB, and this information can continuously generate new information, so that the entire big data technology exists in a dynamic way [21]. Big data is generally a large-scale collection of data that cannot be captured and processed by conventional means [22]. The way to deal with big data should use more skills, through skills to find efficient processes to deal with orders of magnitude, rapid growth, and complex patterns of information. The importance of big data lies mainly in its professional way of analyzing and mining data, discovering connections between information materials, and predicting the future [23]. At present, it is widely used in the application of big data in education, business, science and other fields, which is conducive to the rapid development of education, economy and society. However, disputes and controversies caused by the use of data by different companies or individuals sometimes appear in the public eye. Similar to the data disputes between Alibaba and Tencent, the data disputes between Meituan and Baidu Waimai all reflect the parties’ concerns about data attention to rights.
The concept of big data
Big data is a set of data collected, managed, and processed over a period of time using conventional software tools; it is a relatively efficient data processing tool and an important asset with fast and rich information. New processing methods are needed to achieve greater insight and processing capabilities [24, 25]. In short, the huge amount of data exceeds the processing power of traditional IT technology and database software.
Opportunities and challenges faced by enterprise management in the era of big data
Development opportunities for enterprises in the era of big data
Big data provides valuable data resources for enterprises It has the characteristics of large data capacity and rapid development. It needs to search for information sources useful for its own development in the enterprise data system, use cloud computing methods to calculate information, conduct research and processing on information, promote and improve the intelligent management of enterprises, and improve the efficiency of enterprises. management efficiency [26]. Helping enterprises to grasp market trends in a timely manner Big data is a mirror world that not only records human behavior, but also accurately understands the impact of customer tastes. Originally using traditional questionnaire survey methods, but now using big data to analyze data about the effectiveness of user experience, companies can now accurately [27]. Capture changes in user preferences and develop sound management strategies to take action in response to customer reactions.
Challenges faced by enterprise management in the era of big data
Big data affects the decision-making of enterprises In the era of big data, data analysis is becoming faster and faster, and the format and content of information data are becoming more and more diverse. The use of big data technology can help companies to make quick decisions in real time. When using big data to collect and classify information, it is necessary to fully clarify the direction and requirements of the information, avoid invalid information and collect information in a timely and effective manner. Data is a special form of knowledge and value that is very effective for companies to make scientific decisions. Business is changing information channels through big data, companies must not only analyze their own management and structured information, but also need to use unstructured data such as voice, photos and e-commerce. Depending on the sources involved, only structured data currently exists due to Without data, many companies’ business models cannot effectively handle unstructured data. In the era of fast-changing big data, companies need to respond to the big data model, change their management methods and improve their competitiveness in the market. Big data prompts enterprises to change their own management models To change the original management enterprise model of the proliferation of big data development, whether it is the company, human resource development, regulatory system construction and market risk protection measures, big data must be considered in these aspects, and the era of big data has high demand for rapid development. Without rapid changes in business management models, data cannot adapt to the business. If they fail to do so, they will lose their competitiveness in the market and hinder long-term growth. Data discloses the privacy of a large number of enterprises and individuals In the era of big data, various organizations, companies and individuals have easier access to other people’s data, companies will be able to better understand the tastes and needs of users, and companies will use and disclose private information too much to be more competitive and no longer Guarantee the privacy information of enterprises and individuals. The formulas involved in the big data algorithm related to enterprise management designed in this paper are shown in a1-a4.
The original requirements of business departments for big data applications are not clear
In the field of marketing, especially the Internet companies Taobao, Baidu and Tencent, which are large data platforms, their lifeline is data. The information on the consumption habits, behavior habits and search aspects of users accumulated in the annual data of these companies improves our understanding of the whole world. Society’s awareness of the importance of consumer and Internet user data information. The arrival of the era of big data not only fills the gaps in the marketing market, but also triggers a new round of marketing. BYD has not yet realized the challenges of the era of big data and the products related to big data, nor its true meaning, even if BYD’s leadership. To support the big data of business, it is also difficult to collect raw data for data development and market development. However, big data analysis is not yet familiar enough for BYD to assess its actual impact. If a lot of money is invested and the expected effect is not achieved, the company will suffer financial losses, so BYD believes that by choosing to market traditional products, BYD can use big data analysis to bring its products to the market, even if it is not good for the company, it can also gain stability economic benefits. This has had a significant impact on the development of BYD’s big data product marketing.
Seriously fragmented information within enterprises
The data fragmentation in BYD is very serious, BYD’s marketing department tends to divide the marketing in the market into multiple marketing groups, the company can benefit from the competition of each group, which is desirable, the data of the whole enterprise is not systematic. This means that raw data within BYD cannot be fully collected, making it difficult to delve into its intrinsic value and share technical and analytical tools. Big data analytics requires the coordination and integration of all types of data in order to understand customer benefits and realize the value of a company’s big data.
Although BYD has carried out cost management informatization, the quality of enterprise cost informatization is not up to standard, and many related electronic equipment have not reached a reasonable quantity and quality. With the development of electronic equipment, infrastructure such as printers and computers have become the standard configuration of offices, but the advanced degree of these infrastructures is very important to work quality and work efficiency, and the response speed of equipment directly determines the speed of office work. Although BYD enterprises have popularized computers, because the company has been established for a long time, the equipment has not been updated during the period, so many basic electronic devices have not responded to the needs of work, and often the system is offline, computer restarts, etc. The situation has a great impact on work and greatly affects the work efficiency of BYD employees.
Low internal data availability
BYD Corporation generates a lot of data every second and every minute, however, BYD has not found a sensible way to store data from different types of data by default, so the data storage is incomplete, so its usefulness and quality cannot be guaranteed, and it is often impossible to analyze. Standardized data Data analysis is very powerful and can obtain valuable data from massive data. BYD’s business competitiveness is closely related to the use of high-quality data. Making digital usability a little more will improve sales performance by at least a little more.
Relatively few open data
Reliable data cannot be collected due to the content of critical trade secrets on the other party’s website or the Internet, therefore, if good safeguards and confidentiality are in place, the data collected will be monitored after appropriate systems have been established to Reliably protecting users’ personal data and exposing as much releasable data as possible to regulators will protect the entire web font, allowing BYD to transmit interactive product information faster and more accurately, allowing for a better understanding of customers’ Actual needs and functional product recommendations, in fact, many people want to send customers the right product, with information at the right time, because of the variety of product types and functions, customers cannot quickly choose the product that is right for them. At times like these, customers will be happy to close the deal if we can provide them with just the right amount of product information.
Insufficient supervision of monetary funds
The cash inflow and outflow ratio of BYD’s investment activities is unbalanced and cannot generate sufficient cash inflows, which is also lower than that of companies in the same industry. In addition, the proportion of cash inflows and outflows in BYD’s financing activities is also unstable. From this information, we can analyze that BYD’s work in cash flow management is not sufficient, so that the company cannot timely and accurately understand the cash flow situation, which in turn leads to low work efficiency of BYD. In order to enable enterprises to improve work efficiency and promote the rapid development of enterprises, BYD should strengthen the supervision of monetary funds.
BYD Enterprise management and monitoring under the background of big data and internet of things technology
Market positioning and big data sales model
The BYD company has built a solid reputation for quality, and its high cost performance is trying to get people to buy high-quality cars as their competitive advantage. The key to obtaining business opportunities for enterprises is shown in Table 3.
The key to obtaining business opportunities for enterprises
The key to obtaining business opportunities for enterprises
In addition, BYD should build a big data sales model. Since cars have a huge consumer base, marketers need to leverage local organizations and businesses to gather data to simplify and keep them fresh. BYD can build a big data sales model to grasp the habits and needs of consumers by making digital information more specific. Through a survey of BYD sales employees who have used big data, it is found that their ability to grasp business opportunities has improved after combining with big data. The specific situation is shown in Fig. 3.
In the field of automobile marketing, the collected data is well distributed and managed centrally-the technology relies on Internet technology, and data managers need to extract data reasonably, create an accurate and comprehensive database and improve business competitiveness, for example, search engine companies (Baidu), social networking companies (Tencent), and e-commerce companies (Taobao) all use big data (At home and abroad). These application scenarios have become typical applications in today’s country and are supported by all customers. The search engine Baidu can answer questions from different users, which makes the entire surfing process easier. The tools required for enterprise business monitoring are shown in Table 4.
Big data tools required for enterprise business quality monitoring
Big data tools required for enterprise business quality monitoring
Changes in the ability to acquire business opportunities after combining with big data.
A large amount of information in big data application scenarios can be used by BYD. If you want to strengthen the development of cost management of enterprises, you should also strengthen the cost management information system of enterprises. my country is now in the context of the era of big data. If you want BYD enterprises to develop, you should first strengthen the informatization situation of BYD enterprises. At present, BYD enterprises Compared with the same industry, the enterprise’s cost management information system is still developing relatively slowly. Therefore, in order to enhance the development speed of BYD’s enterprise cost management, it is necessary to strengthen the enterprise’s cost management information system. There is no unified and rationalized content, so BYD enterprises want to strengthen the cost management information system of BYD enterprises, they should integrate the system through big data technology, which can not only make the cost management information system more perfect, but also increase work efficiency.
Big data technology can obtain all BYD after-sales-related content in social media, and timely contact customers to solve problems through analysis. The domestic car sales market is a competitive market, so profit from car sales is only a part of the entire value chain. The format of big data storage customer information is shown in Table 5.
Format of big data storage customer information
Format of big data storage customer information
So for a forward-looking automaker, buying a customer is far more valuable than acquiring a prospect. The cost of making money for new customers is six times that of old customers, and customer loyalty with the continuous development of China’s auto market and the continuous advancement of science and technology, the after-sales service department of the car will also become the starting point for large automakers to gain a competitive advantage to Sales service to improve customer satisfaction as the goal. Through a survey of BYD after-sales service employees who have used big data, it is found that the efficiency of business quality monitoring has been greatly improved after combining big data. The specific situation is shown in Fig. 4.
Changes in service quality monitoring efficiency.
The pricing strategy requires the price of a system customized for consumer psychology and behavior, obtains the situation of peers and consumers through the blockchain, and then analyzes the pricing with big data processing tools, rather than blindly following market choices. After the car is launched, the limit of production technology has not yet reached the limit of mass production, and the cost control and market price are relatively high. At present, a price-based strategy should not be adopted. Market share must be considered, and the best value between market share and profit should be achieved. good balance. BYD’s strong cost control ability is the reason why BYD insists on low price strategy. When BYD was established in the battery field, it replaced all unnecessary equipment on the production line with artificial equipment, and defeated South Korea, Japan and other non-humanized battery manufacturing with human sea tactics. At present, the division of labor and mass production outsourcing in the automobile industry have gradually developed over the years and become more reasonable. The division of labor leads to specialization and risk transfer. If a major recall occurs due to quality problems, BYD can transfer the risk to parts suppliers at all levels, and ultimately digest the risk of the entire industry chain. BYD’s auto market positioning has changed, so it must enter the luxury car market. The establishment of a luxury car should have a high price. For example, it is positioned as a high-end product of F6, but the price is not more than 100,000 yuan, and sometimes the price is reduced. This is for the psychological satisfaction of consumers who pursue those high-quality cars. Can not meet their psychological needs, reducing Le BYD’s high-end status. Therefore, setting the price of luxury cars a little higher is a reasonable pricing strategy. Through a survey of BYD marketing employees who have used big data, it is found that after combining big data, The management efficiency of employees has been greatly improved, as shown in Fig. 5.
Changes in enterprise employee management efficiency combined with big data technology.
Big data technology can help BYD companies to recruit talents and find the most suitable talents for relevant positions for BYD, while IoT technology can improve the overall professional background and ability of its marketers. Those who are creative boldly change the company’s marketing model in the era of big data without being constrained by traditional marketing models. Companies must also regularly train salespeople to enrich their experience and qualifications. In addition, it is also necessary to establish a sales team management system, clarify each person’s role, and motivate the entire sales team. We have a penalty system in place to reward good marketers and punish employees for bad behavior, so that every marketer takes their job seriously. Personnel marketing is the most traditional marketing method for autonomous vehicles, and it is also one of the most extensive marketing methods currently adopted by BYD. It’s a face-to-face communication between a salesperson and a consumer, and it’s very promotional.
Strengthen the supervision of monetary funds in combination with IoT technology
Relevant departments of BYD should strengthen the control of funds, and some risk problems will inevitably arise in the process of fund management, so the relevant personnel of the company should always pay attention to factors such as the market and the environment. The Internet of Things technology can realize the interconnection of various electronic assets within the enterprise, and there are some methods to realize the interconnection of non-electronic assets. By strengthening the management of electronic assets, the cash flow of the company’s projects can be determined, thereby further enhancing the management of corporate monetary funds. In the supervision direction, IoT devices can also improve the real-time supervision of monetary funds corresponding to corporate assets by quickly feeding back the usage information of relevant assets. No matter what the situation is, the company’s supervision of funds should be carried out strictly in combination with fund management. Only by doing a good job of supervision can the company understand the real current situation of monetary funds. In addition, IoT devices can also play a certain restraint role on the company’s employees. Only by strengthening the supervision of monetary funds, can BYD be able to detect problems in the company’s funds in a timely manner and make corresponding solutions.
Conclusion
In the past, many companies ignored the issue of cash flow management and only focused on corporate profits, costs, assets and other indicators, resulting in tight cash flow and a series of problems, which brought a certain degree of financial and operational risks to the company even on the verge of bankruptcy. In the current era of data science, every company collects, organizes, and analyzes vast amounts of information about consumer preferences, tastes, and consumer behavior every day, which makes it possible to accurately predict customer needs and enable precise customer-based marketing processes. This change in marketing concept of life cycle brings huge benefits to companies and makes it easier for consumers’ data to be incorporated into the global economy, which is an essential part of the company’s production process. By improving the business model, the company can gain a competitive advantage, we are actively studying the business model of big data companies, and we are confident that the company will accelerate the pace of applying big data to business management and promote its healthy development. Combining with the management dilemma of BYD in the era of big data, this paper proposes an enterprise management and monitoring method that combines big data and Internet of Things technology, business opportunity acquisition, business quality monitoring and other aspects have greatly improved.
Footnotes
Fund
Doctoral Innovation Fund of North China University of Water Resources and Electric Power (No. B2017120114).