Data Governance Analytics is filtering and integrating the huge volume of data so that users can follow up on the real-time situation of the data, facilitating users to more accurately and quickly analyze and judge the data business reasonably, realizing the use of data-driven business to achieve the purpose of value-added enterprises. Based on big data technology development of data analysis platform system, through the processing and filtering from a number of business systems to ODS intermediate library, ODS intermediate library to the number of warehouse model, and then the model binding components to achieve the visual display of data, can make the user more image of different business data observation and analysis.

Since it is a data governance analysis, it is necessary to "analyze" the data before "governance". We usually need to first data standardization, the use of standardized data for data analysis, data standardization is also known as the indexing of statistical data, data standardization processing mainly includes data convergence processing and dimensionless processing two aspects. As people continue to expand the field of research, the evaluation of the object facing the increasingly complex, if only based on a single indicator for the evaluation of things is often not reasonable, so the need for multi-indicator information processing data in order to get the user wants a more accurate and more useful business data.