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標題: Data Architecture: Designing for Scalability and Performance [打印本頁]

作者: FranceTelegramD    時間: 2024-3-12 14:20
標題: Data Architecture: Designing for Scalability and Performance
Continuing with the example of fast food, in that case you could analyze courier or online sales companies . This type of benchmarking helps to rethink the paradigms of an industry, since it involves looking beyond your sector.  How to do benchmarking? Do you want to implement a benchmarking analysis? These are the stages that we recommend so that you correctly design and carry out the benchmarking process for your company. . Study your business Studying your own company is very important so that you understand what internal processes or business practices need to be improved. You can do this analysis, for example, by identifying the most common complaints among your customers' feedback .


Select the type of benchmarking Selecting the France Telegram Number Data hmarking will depend a lot on your purpose and who is the reference in that regard. Based on what you define in the first stage, your comparison of practices will be made between departments of your own company, organizations with a similar profile, but not necessarily in the same segment, or with your direct competitors. . Choose the companies to be analyzed Depending on the processes and practices you want to improve, you will have to analyze other companies. Ideally, you should choose one to three companies. Always seek to opt for those that are market leaders and that have successful actions in their history.





Define the data to be collected Here is the time to determine the information to be collected, that is, gather data related to the comparative aspects of the companies you have chosen.  For example, if what you want is a benchmarking analysis of digital presence, you will have to collect online information from companies. Investigate their social networks , blog or site, their position in search engines , whether there are many complaints, the speed of their response, their investment in paid traffic, etc. . Analyze the collected data Once you have all the data collected, the next step is to analyze it.







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