With the continuous support of big data, Internet of things and other technologies, the digital transformation of enterprises has become an inevitable trend. The just-concluded fourth session of the 13th National people's Congress examined and adopted the outline of the 14th five-year Plan, proposing to speed up digital development and build a digital China, so as to make a good layout for the development of the digital economy in the new era.
Whether it is the requirements of the development of the times, or national policies, the digital transformation of enterprises is imminent. However, digital transformation is not a simple task, because digitization is not only about data infrastructure, data security, and software development, but also needs to be matched with organizational structure adjustment, business upgrading, and so on. At the same time, it also includes the issues of people, corporate interests and the redistribution of rights and responsibilities.
Business data analysis can tell enterprises about the health of their business, in order to have a clear understanding of their position, what is happening in the business, and what needs to be done to achieve business goals. Therefore, it not only helps to improve the efficiency and productivity of enterprises, but also helps to predict future market trends. The following highlights the various ways in which data analysis can help enterprises do business:
1. Big data can help enterprises set realistic goals.
Setting goals for the business that the company is doing may lead to guessing the wrong message. Enterprises do not want their business goals to change frequently. This is where big data's analysis plays a role.
With big data's analysis, companies will be able to collect data from historical trends and past activities. Enterprises have a clear understanding of what the goal should be and whether it is the right goal from the very beginning.
It ensures that companies do not abuse opportunities to help their business develop. This becomes clear when certain goals are impossible to achieve. This kind of data analysis will show the advantages and disadvantages of the enterprise, which can help the enterprise to develop its business.
2. Big data's analysis can improve customer retention.
The customer is the important asset that the enterprise depends on. Without a strong customer base, it is difficult for an enterprise to succeed. However, even with a large customer base, enterprises should not ignore the fierce market competition.
The use of big data analysis enables enterprises to observe a variety of customer-related patterns and trends. Observing customer behavior is important to increase loyalty. In theory, the more data an enterprise collects, the more ways and trends it can identify.
It is necessary for enterprises to formulate big data analysis strategies to make greater use of the data. With appropriate customer data analysis mechanisms, companies will be able to gain critical behavioral insights and need to take action to maintain their customer base. Knowing the customer's opinion will help the enterprise understand the customer's needs. This is an important step to achieve high customer retention.
3. Improve service level and performance
Data analysis enables enterprises to predict their ability to meet customer needs. Users usually require same-day delivery. Big data's analysis is carried out by understanding the logistics mode and average delivery time of each supplier in an important city. Analyzing the service level of suppliers helps to determine which suppliers are more likely to be successful for location-based orders.
In addition, it allows companies to make and honour commitments, either to change hands if they know they cannot deliver, or to propose delivery the next day.
If an enterprise wants to improve its efficiency, it is important to manage the performance of its employees or processes. It is necessary to measure performance. This is a daunting task because the data will be decentralized and uncontrolled.
4. Big data's analysis is helpful to decision-making.
The intuition and experience of decision makers are valuable, but companies have to rely on decision data that can influence them. Without data analysis, companies will not be able to make informed decisions on pricing strategies, inventory management and other business factors. Even in terms of hiring, feasible data can help companies assess how many people to hire and how to arrange them.
Companies that use data analysis are three times more likely to report improvements in their decisions than other companies. By incorporating data analysis into decision-making, enterprises will reduce risk and improve efficiency and business profits.
5. Rapid income growth
Data analysis plays an important role in increasing business revenue. It is important for enterprises to ensure that necessary resources are used as effectively as possible.
Companies that adopt data-driven marketing strategies can increase revenue by 20% and reduce costs by 30%, according to a study. Big data's analysis is useful for monitoring e-commerce activities, advertising activities and multi-channels. This allows enterprises to measure their performance and effectiveness, making it easier to see what works and what doesn't.
Companies can stop advertising that does not produce the desired results, find out which keywords bring traffic, and devote resources to better promotional activities.
6. Reduce costs
Regardless of scale, cost is one of the important factors of the enterprise. Each business is different and requires appropriate investment in resources at the right time. For example, sales of gift shops may increase during the holiday season.
On the other hand, jewelry and flower shops increase sales during weddings. This means that each business requires a time-flexible workforce for a specific period of time and additional effort and investment at certain times of the year.
Big data's analysis can help enterprises determine the right strategy so that they can invest in resources such as labor force and staffing forecasts at the right time. This can greatly reduce the risk of costs and make better use of resources with the help of data analysis, thus greatly improving the return on investment.
Big data analyzes how to help enterprises develop their business. Big data platform of Zhongchen Rubik's Cube said that big data technology will help in many ways and make it the right investment tool for enterprises. There are obvious advantages for enterprises to adopt big data analysis. By adding analytical tools to their websites and business processes, viable insights can be created from the data collected. Business data analysis can tell enterprises about the health of their business, in order to have a clear understanding of their position, what is happening in the business, and what needs to be done to achieve business goals.
