Currently, the development of enterprise IT we can be roughly divided into two stages, namely, the first step of business informatization (informatization), the second stage we call data informatization (digitalization).

Business informatization usually refers to the enterprise in order to manage a variety of business processes, business data for the construction of software systems. Such as: ERP, CRM, OA and so on. These are collectively referred to as IT business systems, these systems serve the object of each specific business sector, the main purpose of their construction is to standardize business processes, improve production and operational efficiency, reduce the enterprise's manpower, time and management costs, reflecting an enterprise's business and management ideas, which is also a more modern way of enterprise management.

The so-called digitization refers to the many complex and difficult to estimate the information through a certain way into a computer can handle the 0 and 1 binary code. If information technology is the physical world thinking mode, then stand in the IT point of view, digitalization brings data.

The most intuitive form of datatization is the variety of statements and reports of enterprises. Data is the digitized information is organized, through intelligent analysis, multi-dimensional analysis, query retrospective, for decision-making to provide strong data support. Business Intelligence BI plays such a role

With the development of enterprises, the business users of various departments in the usual use of these systems will produce a large amount of data, the data has been precipitated, precipitation, the enterprise can be carried out in the second stage of IT information technology construction, that is, data information technology.

The main purpose of data informatization is to help our enterprises to fully understand the actual business operations and management results, from the previous experience-driven to data-driven, and finally to form a business decision-making support to improve the accuracy of decision-making, which is a higher level of business management.