For enterprises, it is not the goal to go to the middle platform, but to let enterprises establish data-driven awareness with the help of the data middle platform, and continue to do a good job in various business operations in combination with the data middle platform.
So for the retail industry, how to use the data middle platform to empower the business?Let's take a leading chain retail enterprise as an example to interpret how the data center solves the difficulties of enterprise data use and supports 6000+ stores to reduce costs and improve efficiency.
Customer Challenges
The company had already built up some digital content in the early days, but as the business grew, more and more data accumulated, and problems arose.
First of all, the previous technical architecture could not support the huge data information accumulation and data use scenarios. Performance bottlenecks begin to occur in reporting applications, with multiple data sources in the business system, numerous computing tasks, frequent errors, high maintenance costs, and higher scale-out costs.
Secondly, the siloed data construction leads to multiple redundant data, long report development efficiency and long cycle, resulting in the inability to reflect the timeliness value of data, and there is no unified standard for data assets, as well as a unified data model and indicator standard.
Finally, some data exists in the stage of manual reporting, which does not form an automated work output, and the response to business needs is slow, and the low data quality cannot reflect the value of analysis.
Solution
Based on the above problems, we will take "business goal-oriented, process monitoring as the serial main line" as the construction idea. Through the upgrading of enterprise technology planning, business sorting and planning, and at the same time, data collection and refinement are carried out to achieve effective integration, and finally the unified planning, design, implementation and synchronous operation of various business management. Finally, the upper layer provides the corresponding business application plan to improve the quality of customer data, popularize the use of data, and make the data middle platform the core platform for digital transformation.
[Project Effect].
1. Through the construction of the data center, a unified technology upgrade has been realized, supporting real-time performance statistics and intelligence of 6000+ stores. 40W years of server expansion cost savings.
2. Through the integration of data governance, the indicator system is simplified, the indicator is streamlined by 60%, and the indicator system according to job responsibilities is formed to support the data system of monthly business meeting, daily operation, and performance tracking and evaluation, reduce the overall operation and maintenance cost, and reduce the demand response from the previous 7 days to 2 days.
3. Form a data early warning mechanism, build an indicator early warning center for thousands of people through the mobile terminal, and timely alert the problems of core indicators.
We believe that as long as the data middle platform is used well, it is possible to truly realize the value of enterprise data assets and bring actual cost reduction and efficiency improvement to enterprises.
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