1, clear business needs
Business-driven perspective, to understand what kind of problems the business sector needs to solve, what is the scope of the business, what is the effect of the results to be achieved, based on these needs to implement the deployment of business intelligence tools.
2, data combination and correlation
Because of the characteristics of the massive amount of enterprise data and diversified structural forms, the need for business analytics tools with massive data exploration and analysis capabilities, real-time and effective combination with the existing data, resulting in a precise course of action.
In addition, the value of enterprise data is ultimately reflected in the consumption of customers, so the data that can directly generate value should be combined and associated with customer relationship and transaction data, so as to make decisions directly oriented to the benefits.
3, the training of data analysis personnel
Enterprise data analysis, the deployment of business intelligence systems is the key, but the level of business personnel data analysis is equally important. This requires personnel in the information process management to gradually cultivate the scientific management of data awareness, enterprise up and down to unify **** knowledge, so as to form a comprehensive management of enterprise data.