Sufficient customer research is needed
Don’t just be fancy, pay attention to practicality The data platform is not just about displaying various cool effects, nor is it simply listing data charts, but it is about digging out the patterns, trends, and conclusions contained in the data through data analysis. Effectively help customers discover problems hidden behind the data and predict potential patterns of business development. Therefore, before designing a data platform,to figure out: What kind of data platform needs to be built? What problem does the dataplatform hope to solve, what effect does it have, and what purpose Afghanistan WhatsApp Number does it achieve? I believe that judging from the past design experience of G-end products, the data platform mainly meets the needs of three aspects: data analysis and statistics, process monitoring and early warning, and real-time business command. ) Data analysis and statistics: The main purpose of data statistics is to help leaders comprehensively understand the business through data and make scientific decisions. When doing functional design, you need to think about what data indicators
https://lh7-us.googleusercontent.com/vxEeh_6x4SAERjIL09ktOi1RMre66SvUtXu1SXKRv2ZEqpMSpf_WeMu4O4zI_nROh3VqRJsBloPIUyYpjX35P8K4bOeMUYCeLk_RK9ZM8xXSRlNCYGITCaNddJ2PQY-xWGKOsRYlT84gvYIM
can be used to achieve what the user wants based on the customer's purpose and the problem that needs to be solved. ) Process monitoring and early warning: In the G-end scenario, monitoring and analysis of abnormal business data can be used to provide early warning and analysis positioning, helping leaders to take timely control measures, that is, to ensure that business losses are minimized and the scope of impact is minimized. What are the possible monitoring scenarios?
頁:
[1]