transformation in the securities industry,

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.. It is the business department's business. The ability model and learning improvement of end product managers The first major challenge facing end product managers is how to correctly analyze and diagnose business problems. This is also the most difficult part. Product design knowledge is basically of no help in this part of the work. If you want to do a good job in business analysis and diagnosis, you must have a solid...View details > The second is an extreme business view. The technical department has always been responsible for the operation and maintenance of related systems and has no business digitalization or digital drive functions.



The project establishment, procurement and project construction japan code phone number of the related digital systems are also mainly determined by the business department. Whatever the extreme, the failure of the digital transformation of the enterprise is inevitable. The digitalization of either business or technology alone is doomed to fail. On the contrary, in practice, we suggest that the implementation of digital transformation should be guided by systematic thinking, business thinking, service thinking and business technology integration thinking rather than simply buying and selling software or self-developed software behind closed doors. 2. Common phenomena of transformation failure In practice, we often see such phenomena in terms of digital-related systems: The software selected by the business department has a lot of fixed opening fees and additional expenses in the technical link.



The business department is unwilling to use, cannot use or even refuses to use the software selected by the technical department. The lack of system maintenance and data backup pose major security risks. Technical problems make it difficult for the unmanned system to run smoothly. In terms of data assets, which are the key to digitalization, the following scenarios are often seen: Dirty and messy data are scattered among various systems. The timeliness, integrity and validity of data cannot be guaranteed. There is no standard for data, and the management of standards is chaotic.