Guide
Data governance is a key link in the digital transformation of enterprises. In order to allow business users to easily obtain high-quality data in data analysis and application, enterprises must first carry out data governance work, so that the data can reflect the real business conditions, and on this basis, based on the data, all kinds of data in the enterprise management Questions are analyzed qualitatively and quantitatively.
The development of data governance requires enterprises to fully consider their business needs, and carry out system planning and long-term operation. However, the data governance of many enterprises in the past will start from a single goal, such as to meet the requirements of top-level planning, data platform construction, and local special topic governance, which leads to the actual effect of data governance is not ideal; at the same time, the current policy environment, Factors such as differences in industry demand have also brought new changes and requirements to the data governance model of enterprises in the future.
Based on the above background, this report summarizes a set of data governance construction methodology that can help enterprises realize the value of data efficiently according to the business and analysis needs of enterprises. Its fundamental goal is to create an integrated business flow, information flow, and data flow for the enterprise from the perspective of enterprise business, so that the data can restore the business facts of the enterprise as much as possible, so as to better monitor the business process and results.
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Source: Dipu Technology Gartner
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