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Interview with data center and Bi business (II): pit of organizational structure Sorting
2022-07-21 19:49:00 【Bi visualization of Parker data】
This is the data center 、BI The second article in the business interview series , In the last article , I focused on the business department of the enterprise 、 We should do a good job in the industry before the senior management makes business interviews 、 Business knowledge homework . After doing these homework , It's time for the actual interview .
Key points of business interview
So what are the key points to be controlled in the specific business interview ? Usually , Special attention will be paid to the business organization structure 、 The business situation 、 Business collaboration 、 Business focus 、 Business boundaries 、 Several basic directions, such as the use of informatization .
Business key points - Parker data business intelligence BI Visual analysis platform
Look at these points, they seem to be very simple , But we can't just focus on the literal meaning , We have to continue to dig deep . Many tiny points send out information , Sensitivity is different in different people , It could be an opportunity 、 It may also be a risk , We need to cultivate this sensitivity and smell .
In today's article, we will first explain the importance of organizing the interview .
The importance of sorting out the organizational structure
Figure out the organizational structure , It is the key premise for all business carding . Many people will think that the organizational structure is not simple , Or from HR System out , Or just OA Inside , Just pull it out . Students with this idea explain their understanding of business intelligence BI The characteristics of this analytical informatization construction project are not familiar and understood .
Data visualization - Parker data business intelligence BI Visual analysis platform
In analytical, such as business intelligence BI In the process of informatization project construction , The perspective of business management analysis is not based on HR perhaps OA The analysis dimension is designed from the perspective of corporate structure , It is designed from the perspective of management . How likely is this ? So to speak , All the business intelligence I have experienced before myself and the team BI In the project ,100% The business analysis structure is similar to the actual corporate structure 、 The internal organizational structure of the enterprise is mismatched .
Financial statements are very standard , It is an entity according to the legal person structure 、 An entity to build , stay HR perhaps OA The internal organizational structure of the enterprise in the system is also designed according to the enterprise management organization . But when it comes to the analysis of business management , The above architectures are not applicable .
The organizational structure is analyzed
such as : There are dozens of companies under a group , It is very simple to analyze according to the legal person structure , From the group to the branch . But actually , Internally, according to the product line 、 Different business lines have created many business segments 、 Business lines 、 division 、 Regional companies . From the perspective of business analysis, it becomes a group, a sector, a business division, a regional company, and then an entity . There are also many companies under the group to pay accounts , These companies have no substantial value for actual business analysis .
Data visualization - Parker data business intelligence BI Visual analysis platform
There are also some scenes, such as a store doing trade circulation is an entity company , This store may have an area that belongs to another business line of the Group , At the time of collection, the entity company is used to collect . This can be matched in the financial statements , But it needs to be taken apart when analyzing business management , How to split the expenses inside , How to analyze ? therefore , These problems need to be sorted out , Because this caliber changed when the management analysis report was finally issued .
Like the above mentioned, these are all encountered in actual projects , These problems are often invisible in business systems . But in an analytical system , These problems are very big problems , It directly leads to the increase of complexity in the process of analysis dimension design .
If these business characteristics and actual conditions are not clarified in the early stage , Later changes will lead to code opening and repeated adjustments , Even some dimensional architectures need to be overturned and redesigned . There are some more complex scenes that I haven't mentioned here , I can only say that it is very complicated . Many projects die in this place , This problem was not found in the early stage , If you find it later, you can communicate with the customer , Their internal problems may not have been adjusted .
Data visualization - Parker data business intelligence BI Visual analysis platform
Why haven't enterprises found such problems before , Actually, I found , But at that time, there was no means to analyze so carefully . Once on the data center 、 On BI 了 , At this time, in fact, they think they have the ability to analyze from the micro level , So many requests will be made . Do not do , There is a problem . Did , No prevention in advance , In the later stage, it will be very passive .
There is more trouble , It is the business analysis framework of the enterprise that may be adjusted frequently , And there is also the problem of misaligned organizational structure . If you lack this awareness, fully communicate during the preliminary investigation 、 Fully understand and prepare , It will be very difficult to enter the opening stage later . therefore , Data center 、 business intelligence BI It's definitely not a simple matter of dragging and dropping the database to present the visual page , There are many complex scenes .
Suggestions on organizational structure
I personally suggest that during the research interview , Once the organizational structure is carried out with the business department 、 Sort out and communicate the analysis framework , You have to pull IT Together with the information department . Understand their business analysis framework , Analyzing the actual business 、 When operating indicators , How these dimensions are merged 、 How to organize , And how these data behave in the actual business system .
Fill in 、 Make up - Parker data business intelligence BI Visual analysis platform
Can these differences and changes be managed and maintained in the actual business system , Is there any comparison relationship for direct use . There is no systematic comparison , Is it possible to establish this cross reference relationship through supplementary data entry and filling ? It can solve the current problems , It can still solve the long-term changes in the future . If it can only solve the current , What mechanism should we look for to deal with future changes . Is it in the business system 、 Design some additional fields in the business process to label to distinguish these changes .
There are also some enterprises that have not realized the integration of industry and finance , But in the data center or BI In the project, it is required to penetrate from business projects to financial statements , For example, look at the cost of each actual business project 、 cost , Are these business items reflected in supplementary financial accounting , Is there a connection , What if there is no ?
Let's see. , Just because of the problem of organizational structure, so many places need in-depth analysis and judgment , It's still complicated , Can't you make it clear in advance , Surely not . This requires our business interview team to be very experienced , Can predict these problems , Be very sensitive to business .
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