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Today, the most critical technology upgrade that traditional enterprises have learned is how to make good use of big data, but in the specific operation process, which technologies and data can really help? How to make massive data into the support of visual management? How to convert data flow into value flow? With these questions, the reporter of "CEConline" interviewed Chen Xin, a geographic intelligence expert and director of the Location Intelligence Division of Beijing Jietai Tianyu Information Technology Co., Ltd., at the workshop called "GeoQ Business New Vision".
The value of visual management
Visual management refers to the use of IT systems to allow managers to effectively grasp corporate information and achieve transparency and visualization in management, so that management effects can penetrate into the enterprise. Human resources, supply chain, customer management and other aspects. Visual management can make the process of the enterprise more intuitive, make the internal information of the enterprise visualized, and can be communicated more effectively, so as to realize the transparency of management.
▲Chen Xin, a geographic intelligence expert and director of the location intelligence division of Beijing Jietai Tianyu Information Technology Co., Ltd.
For As far as manufacturing enterprises are concerned, how can we first understand the sales performance of local distributors and regions, and how can we turn performance and inventory data into visual maps and manage them intuitively? At present, if a large amount of data in the hands of enterprises has not been scientifically interpreted, it can only be a pile of reports in the end. Although it is helpful for decision-making, it often takes a month or half a year to find problems.
▲Sales heat map
Chen Xin told reporters that if the real-time data managed by these enterprises is scientifically compared with the previous management data, let a professional and senior technical team interpret These data, through integration, conversion, extraction, and geographic business intelligence information, have become intuitive and beautiful visual maps, allowing entrepreneurs to understand the business progress of branches and distributors across the country in real time when they are in the headquarters, which is convenient and fast. React and adjust accordingly. For example, there is a clothing chain company, a certain style is very popular in the northeast, but it is unsalable in the south. The headquarters can compare these sales data with the inventory, and quickly transfer the southern inventory to the northeast for replenishment, and at the same time according to the weather changes. Trends, compare the seasons, temperatures and sales in different regions, reduce the risk of previous projects that rely on brainstorming decisions, and make production and sales plans more scientific and transparent. In addition, the visual map can also be used for dealer and regional parts sales performance management, as well as dealer service improvement and assessment.
The secret of scientific location selection
In the past, the location selection of clothing chain enterprises and retail enterprises mainly considered factors such as urban potential, population and purchasing power, market and competition, and policy planning, but today's business The environment has changed a lot. Taking clothing companies as an example, people’s habits of buying clothing have changed a lot. The entry fees of various large shopping malls are getting higher and higher, but the profitability per unit area is declining. With O2O With the deepening of business, retail sales are no longer the only criterion for evaluating stores. Functions such as brand image display and membership services are becoming more and more important, and the location of flagship stores has become very important.
Chen Xin pointed out that one of the prerequisites for a good store location is smooth entry and exit. The convenience of transportation is mainly reflected in two aspects: one is whether the local transportation network is accessible and whether the transportation of goods is convenient. Whether the road is smooth or not not only affects the quality and safety of commodities, but also affects the delivery time and transportation costs of commodities. The second is whether the place has dense and developed bus routes and whether parking is convenient, which is directly related to the convenience of consumers' shopping.
Chen Xin said that location analysis is the next hot spot in business analysis, and location selection in the retail industry will directly affect business performance, which is very important. They can now provide a GeoQ service, which is to sort and evaluate cities based on market size and potential through the support of various algorithms, help companies to determine target cities on a macro level, and then compare and analyze major business districts in the city, thereby Lock in the best business district. After that, the company further combines data such as population, economy, and road network to generate maps and reports, and obtain several candidate addresses. At this time, relevant personnel can take mobile devices to the site to observe, verify the analysis results, and combine experience to finally make a prudent and accurate site selection. In this regard, the application of technology to international brands such as Starbucks has already taken a step forward, and the effect is remarkable.
In addition, manufacturing enterprises and logistics enterprises can also use this technology to improve their supply chain management and warehousing and distribution management capabilities and enhance their competitiveness.
With the rapid development of modern society and the rapid changes in the business environment, enterprises must effectively master new management techniques in order to improve management efficiency. It is reported that this kind of geographic business intelligence business can make decision-making more scientific and intuitive, and can also improve decision-making efficiency and reduce decision-making risk. This technology has been used in Europe and the United States for many years, and has successfully helped large companies such as Nike and Starbucks to improve the level of visual management. At present, there are not many domestic companies capable of providing enterprises with geographic business intelligence service solutions. Qualification review.
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