I haven't updated the article for a long time. Recently, I have been working on digital transformation plans for some large enterprises, so the official account has been grayed out again. Coinciding with the project gap, I thought of precipitating some previous modeling methods and ideas and sharing them with you. 1. Write before the text At present, I am working in a tob digital service company, mainly serving various large and medium-sized enterprises, providing one-stop services such as consulting, diagnosis, evaluation, and implementation of digital transformation. In the process, I have contacted many companies with a revenue of tens of billions of dollars, including the retail chain industry I was familiar with before, and there are also many industries that I have never been exposed to,
such as medicine, health care products, and industry. In the process of service, whether it is preliminary strategic planning or system top-level architecture design, for someone like me who lives in Internet companies all the year round, the biggest feeling b2b data is not that many students in traditional industries do not aspire to digitization, but that most People don't know what to call digitization. For most people, including some people in Internet companies, they may not have a clear understanding and cognition of the endless concepts of digitization, informatization,
and digital intelligence. Below is a breakdown of my broad understanding of digital across companies: Digital stage dismantling Tooling: Some companies are still in the so-called IT era, and most of the understanding of the system is a single-point operation tool. For example, a single financial system, an order system that generates order records by importing excel, etc. This type of company's understanding of the system is more of an extension of the excel sheet, and does not have much process-based information capabilities. However, such companies are relatively rare in the current era.