Talk about bi again-are you sure you are ready for Bi? It168)

Talk about bi again-are you sure you are ready for Bi?

Write each time Article When there is a target, it will lead to ideas. Today, I saw another article on itpub, "Do group enterprises need to deploy Bi more?". I think again: Are you sure you are ready for Bi? From the perspective of the enterprise itself, I have divided into the following aspects: 1. If an enterprise wants to access Bi, what do you do with bi? What effect do you want? Is prediction or enterprise operation status analysis? Do you want to use bi for performance management or bi to improve business processes? Do you want to customize reports or integrate business databases? Yes, I guess you have guessed that Bi is only a technology and a tool, but enterprises must first clarify the direction before considering whether to adopt bi. Before going to Bi, you must target the enterprise itself, locate the industry, locate the enterprise value chain, and locate the current stage, and find the best place in the enterprise value chain that reflects the value of Bi. For example, real estate enterprises use cash flow as the value chain. They want to use Bi to analyze their sales data over the past 10 years, discover potential values, and determine the market position of their products. 2. What are the Bi Standards for Enterprises? Depends on the size of the Enterprise? Looking at enterprise informatization, Bi is no longer available? No. Taking the emerging real estate industry for example, the real estate industry is short in group time. In just a few years, it can be said that it is a group operation, because the real estate industry sets up branches based on each real estate. Well, is it true that the data volume is consistent with Bi Analysis After grouping? In my opinion, it is not absolute. We all know that when did China's commercial housing market start? Taking the real estate industry as an example here, we also need to calm down and consider whether an enterprise should be able to access Bi from many aspects, including: is the enterprise's management system well-developed? Is the amount of enterprise information valuable for analysis? Whether the enterprise's information platform can support Bi and so on. For example, for an enterprise, there is no uniform statement between departments on the caliber of the same business data. If the Sales Department calculates the sales data for the current month, the financial department should remove the return data, finally, the data is not correct. Of course, anyone who has done Bi knows that the unification of basic data of various business systems, the unification of time caliber and analysis granularity will affect the analysis. Who can say that this is what I considered when I went to bi? These status quo, even if it is not bi, still exist. If enterprises do not regulate these management issues and specify standard statistical methods, who can ensure that bi products can obtain the data you want? 3. Do not focus too much on the powerful functions of bi products? I think the core value of Bi should be the core business logic of the industry. What bi products cost is not data mining, but the disruptive Reasoning Theory that supports enterprises to discover and analyze problems: through years of industry experience accumulated by senior industry decision makers, and the unique management ideas, and the analysis methods to analyze the current situation of the enterprise, so as to obtain the development strategy of the enterprise. It doesn't mean that bi products cannot be displayed in flash, radar charts are not used, or backward. If a trend chart is used to the extreme, many problems can be found to avoid risks for enterprises or to discover potential commercial values. Of course, the management layer will inevitably have business logic that cannot be found. At this time, data mining technology is used to assist in discovering the relationships behind a large amount of data, so as to continuously improve the reasoning process based on business logic. To sum up, this article can be extended to the planning of the information system in the post-ERP era for a group enterprise. For the enterprise itself, it also needs to start with standardized, systematic, and refined management, laying a solid foundation, it is not too late to consider bi.