Published: 19 June 2023
The explosive emergence of data, analytics and AI use cases coupled with highly dynamic data security regulations have led to data management complexity in China. CIOs in China must invest in data fabric design for D&A teams to scalably and sustainably deliver business value from data.
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In China, the continuous expansion of data, analytics and AI use cases, coupled with rapidly evolving data security regulations, have led to the uncertainty of organizations’ data management principles. Most local data and analytics (D&A) leaders are reactive in this highly dynamic environment.
Organizations in China have a high demand for more automated interoperations in their D&A architectures. However, there are very limited local D&A vendors with necessary technologies such as active metadata and knowledge graph, leading to the gap between concept and successful practice of data fabric.
Inefficient cross-department communications are still the main obstacle in realizing persistent business
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