This article takes you to understand the relationship between the past and present of Bi and the digital transformation of enterprises

In recent days, , IResearch consulting, a well-known consulting organization, released 《 Digital decision making ： Research on business data intelligence industry in China 》 The report , It focuses on BI Some industry trends and problems of development .

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Pay attention to Yixin Huachen pro Readers of official account , Many people know about data governance . The organization governs a large amount of data , So how to analyze the information in the data , Play more value ？

Take Wal Mart for example , Management passed BI According to the order data , Logistics data , Sales data , Inventory data , A marketing plan , Supplier data , Financial data , Managed the whole process from order to sale , Minimize inventory , cost reduction , Improve asset turnover , Generate maximum profits .

that BI What is it ？ What's the value ？BI Why can it develop , What is the driving factor behind ？BI And the data governance we talked about before , What is the difference between digital transformation ？ This article , Xiaoyi will show you the secrets behind these problems .

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What is business intelligence BI

1. business intelligence BI The concept of

BI, The full name is Business Intelligence, Business data intelligence . Business data intelligence is based on Data Science 、 A series of digital tools for enterprise decision-making 、 Services and solutions .

For example, we used to use excle Analyze the data , To provide data support for decision makers , But the amount of data in the organization has multiplied , Every decision involves data from different departments , Data processing and analysis are extremely complex .

and BI Can quickly process massive amounts of data , According to the set data model , Automatically generate various pie charts , Bar chart , Histogram , Radar map ,gis Map , Help managers make better decisions .

In our traditional trading system , What's done is business To Data The process of , For example, a supermarket needs to be based on sales , To record sales data . and BI What to do , On the basis of data , Analyze the data and the relationship between the data , To assist the manager in purchasing , stock , Marketing sales , Financial cash flow and other decisions .

This process of generating data value ,Business Intelligence analyse The process of , That is, the business intelligence analysis process .

2.BI The cause of its birth

Not before BI,BI What is the background and reason of its birth ？

The answer is that on the one hand, technological progress provides Bi Support for , On the other hand, the value of data discovered by organizations , Management upgrade is required , Industrial upgrading .

With IT Technological progress , Many traditional business transaction systems have achieved basic informatization , For example, enterprises have CRM System , There's a financial system , With sales management system , There is a human resource management system . Every data is recorded in the database , Accumulated with TB Business data record of UOM .

Maybe you'll ask ： So much data , It takes up a lot of storage devices , Consume storage costs , But I don't often visit , What's the use of keeping it ？ A lot of people will definitely say , These historical data are of great significance , We can explore the rules of business 、 Support decision making .

Typical cases are “ Diapers and beer ” The story of , Diapers and beer are two separate things , But , Someone found out , Shopping in the supermarket on Friday , Among the young fathers who bought diapers 30%～40% People buy beer at the same time .

original , When the young father buys diapers on Friday , And buy beer for yourself , because , Friday is the time for TV stations to broadcast the football game , therefore , Supermarket owners have achieved great success by bundling diapers with beer .

This story has become a myth of maximizing business value by using data analysis . It seems , Two very unrelated things , Through massive information and data processing , We can dig out the potential relationship between them , Commercialize this connection , You will get unexpected new business or new business model .

How to mine the value of these data that occupy a lot of storage space , Let these data become profit promoters from cost consumers ？

New data analysis technology was born , It's done “ data ” To “ Data value ” The link of transformation , At the same time, it gives this technology a loud and mysterious name “BI”.

3.BI Of 3 Great value

BI Whether for management , Or business people , Are of great value .

For management ,BI Yes 3 Great value ：

① Provide a data base for decision making ,BI It can integrate the internal and external data of the enterprise , For enterprise data analysis , Data mining lays the foundation

② Support management decision making ,BI Deep insight into business scenarios , Provide comprehensive , Accurate analysis results , To provide an effective basis for management decision making

③ Promote the timeliness and accuracy of decisions ,BI It can quickly process massive data , Shorten the time of data from the grass-roots level to the management , So that the management can give instructions quickly and effectively , Achieve the best management effect .

For business people ,BI With this 3 Great value ：

① Lower the threshold of data analysis , Previous data analysis and statistics , Business personnel need to understand certain data analysis and processing data , While using BI, Business personnel can easily deal with all kinds of data analysis

② Separation of business and Technology , Business people no longer need technical support , Release the pressure of data analysis , Effectively promote the separation of business personnel and technical personnel

③ Improve the efficiency of data analysis , Break the inefficient measures of using manual statistical data by manpower at ordinary times , Avoid inconsistent data sources , Different caliber , Data processing is complex , Improve the efficiency of data analysis , Data update frequency .

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business intelligence BI Similarities and differences with digital transformation

There are many data governance in Xiaoyi official account , Enterprises need to carry out digital transformation , So business intelligence BI, What are the similarities and differences with enterprise digital transformation ？

In fact, the two are closely related , One side , The digital tools used in business data intelligence are also often digital transformation “ necessity ; The application value and planning mode of business data intelligence also coincide with the digital transformation of enterprises .

On the whole , Business data intelligence is the process of enterprise digital transformation , Composition and catalyst ,BI It is an inaccessible part of the organization's digital transformation .

Enterprise digital transformation refers to the use of a new generation of digital technology , Connect the physical information of various business processes to form valuable digital assets , And by calculating Feedback effective information , Finally, it enables the process of business value creation .

Digital transformation is what Chinese enterprises are experiencing 、 And will continue to change for a long time , Business data Intelligence is the process of this change 、 Components and catalysts .

business intelligence BI And digital transformation , There are mainly 2 The same thing ：

① The basic application of business data intelligence is also the process of enterprise digital transformation , Is an important part of the digital transformation

Using a database 、CRM、 ERP And other enterprise basic software and digital tools are both businesses Part of the deployment of industrial data intelligence applications , It is also the conventional choice of enterprises in the process of digital transformation , merchant The number of industrial data intelligence applications is to a large extent the number of enterprises Laying the foundation for the transformation of Chinese characters .

② The application of business data intelligence infiltrates the digital concept into the non decision-making process of enterprise digitalization

Business data intelligence applications can cultivate the data awareness of enterprise employees , Constantly deepen the digital atmosphere of enterprises , Infiltrate the concept of digitalization into the links beyond decision-making , Promote the overall digital transformation of the enterprise .

business intelligence BI And digital transformation , There are mainly 2 A difference ：

①“ Digital transformation ” The concept covers more aspects of enterprise management , Wider scope

We define business data intelligence as helping enterprises enter Data intelligence for business decisions , and “ Digital to type ” This concept also covers the digital upgrading of products 、 Same with Artificial digital substitution 、 Digital ecological platform structure Construction and other aspects , In terms of breadth , It's better than business More comprehensive digital concept of data intelligence .

② Successful digital transformation is the transformation and upgrading of enterprise business model , Richer meaning

Successful digital transformation except IT Carrying tools , It also includes the corporate cultural atmosphere and business model Digital transformation , In terms of depth, it is also higher than the height that business data intelligence can achieve .

On the whole , Future business data intelligence products , The depth and density of enterprise decision , Will further improve . And through automated tools and AI, Further reduce the use threshold .

Products will be standardized , modularization , Flexible product system reduces lead time and cost , It is more in line with the different needs of large, medium and small enterprise customers .

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business intelligence BI Six drivers

business intelligence BI It can develop rapidly in these years , There are mainly 6 Big drivers ：

1. The first factor , Is the policy background

Business data intelligence is based on big data , Artificial intelligence and other frontiers IT Supported by science and Technology , In recent years, the development of science and technology has been generally supported by local policies , It has created a good environment for the development of related industries , by BI Has provided technical support for the development of .

2. The second factor , It is the upgrading trend of industrial economy

Under the economic development , The digital economy and artificial intelligence industry are booming .

With the development of the times , Digital economy has become an important symbol of our economic modernization transformation and industrial structure upgrading . The progress of business data intelligence industry and the development of digital economy are both external and internal , The former and the latter are the premise of application , And rely on the transformation of the digital industry , At the same time, it also provides an important driving force for the growth of digital economy , Exist side by side and play a part together .

3. The third factor , Comprehensive technical support

In the market , Relevant big data , The Internet of things , AI related technologies have matured , In practical application, collaboration and linkage , Exist side by side and play a part together , It has formed an active ecological network full of innovation and development potential .

4. The fourth factor , It is the foundation of enterprise digitalization

The fourth factor , It is the continuous improvement of the digital construction of the organization , For example, many organizations have corresponding CRM Customer management system , The human system , Sales management system , Enterprise digitalization has a certain foundation , For the following business data BI Laid the foundation , But there is a big gap in the development level of different industries .

Generally speaking , The digitalization level of Internet enterprises , Higher than traditional enterprises .

5. The fifth factor , It is the digital knowledge and skills of employees

Although business data intelligence tools have Automation , Intelligent , The characteristics of generalization , However, as an innovative information tool , For any economy in the process of digital transformation , For industries and enterprises , Employees' resistance and IT The problem of insufficient ability is also very obvious .

In recent years , The educational level of enterprise employees continues to improve , Enterprises have also significantly increased their staff training support for digital transformation , Employees are also increasingly willing and able to use innovative digital tools , It is also conducive to the in-depth application of business data intelligence .

6. The sixth factor , It is epidemic driven

2020 The outbreak at the beginning of the year , It has had a great impact on the social economy , For enterprises , The epidemic has brought about an increase in the cost of labor and raw materials , The stagnation of business development and the blocking of offline channels .

Online office , Online internal management , Business channels are stimulated by the epidemic , It is rapidly popularized among enterprises in all walks of life , Suppliers also continue to expand capacity and upgrade services , Indirectly promote the prosperity of enterprise digital service industry .

But during the outbreak “ Forced to ” The digital reform has opened the door to Digitalization for enterprises with weak digital foundation , And in The company has cultivated a digital atmosphere and habits , It is more conducive to accelerating the penetration of business data intelligence applications in various enterprises and industries .

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BI Tools — Realization BI The key to functionality

in front , We know BI The concept of ,BI Birth background ,BI Of 3 Great value , How to mine data and give play to the value of data ？ We need to use BI Tools , Can achieve BI The effect of .

1. What is? BI Tools ？

excel It can be used for data summary , It can be used to process sales data , however excel Only a certain amount of data can be supported , If you have a lot of data ,excel It's going to be hard .

However, the data of enterprises have increased exponentially , Through years of accumulation , Already more than excel Acceptable range , Therefore, more powerful data processing tools are needed , Instead of excel Position in the enterprise .

Simply speaking , Just use BI Tools , Instead of excel Dealing with massive data . but BI In data processing , Data analysis , The function of data display is far stronger than excel, It is a super enhanced version exlce.

For example, Yixin ABI Tools , It can sort out all the data within the organization . Show it through graphics , Keep drilling , Organize senior managers , You can directly see every detail of all service areas .

       

        

2.BI Tool development 3 Big stage

in general , business intelligence BI Tools have developed to the present , There are mainly 3 Big stage ：

The first stage , Local digitization . Partial digitalization is the process of electronization of business data through tools such as databases , It is the foundation of business data intelligence applications .

For example, a group branch , I bought a set myself CRM System , Realize the process of electronization of customer data , Enterprises can according to the user life cycle , To carry out differentiated operations for users , When to contact the customer , When to pay a return visit to the customer , Maximize user satisfaction , Earn the most profit .

As enterprises pass through financial systems , The human system , Local digitalization of customer management system , It is the foundation of business data intelligence applications .

Second stage , It's global visualization . Global visualization is the process of producing static reports and dynamic dashboards based on enterprise business data , It is the main body of business data intelligence application at this stage .

A group has many subsidiaries , The group wants to master the personnel data of each company of the whole group , Sales data , Financial data , You need to summarize the whole data , Analyze and process , To assist the top decision ,

The third stage , That is, intelligent analysis . The process of further mining and utilizing data information by combining big data and artificial intelligence technologies , It is the key for enterprises to realize business data intelligence .

Like Wal Mart , Yonghui supermarket, a large chain supermarket, through massive inventory data , sales , Financial data , To better adjust the placement range of items , Marketing activity planning , Inventory management , Maximize the profit of operation .

3.BI Tools 3 Large dimensional value

BI In data processing , Data analysis , The function of data display is far stronger than excel, For example, Yixin Huachen ABI Tools .

In terms of data integration ,ABI It can integrate data in all different business systems in the enterprise , This is a excel Impossible .

Multidimensional analysis ,ABI You can also analyze the data according to different dimensions , The system will adapt the chart display based on the characteristics of the data , All of these are excel Impossible .

Formula settlement , Graphic display ,ABI Same as excel Also has strong formula calculation ability , And the style and color of the graphics are better than excel be a stroke above , Support dot graph , Radar map , Area map , Bubble chart , charts ,K Line graph , Funnel diagram , Chords .

If you want to process data , Analyze the data , Or display data ,BI All ratio excel The effect is good , Simple and efficient , This is also BI One of the advantages of .

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Yixin Huachen ABI Product introduction

ABI It is a one-stop data analysis platform, which is independently developed by Beijing Yixin Huachen Software Co., Ltd Capable core data products , It can not only provide data warehouse oriented data analysis and presentation for implementers , It can also be for Business personnel provide self-service data analysis capabilities , Meet the user's data application scenarios in an all-round way .

Through rich data analysis means , To provide users with a one-stop data analysis platform . This product is our company's data analysis for many years 、 Based on the technical experience of report processing , Use advanced data Warehouse 、 The core theory of business intelligence , Business intelligence product software launched after years of painstaking research and development , To a large extent, it can reduce the technical threshold of data analysis implementation , Simplify complex work 、 Repetitive work is intelligent .

Yixin ABI characteristic ：

be based on web application , Easy upgrade , No client installation  

use J2EE framework , Adapt to various platform deployments  

Powerful ： Support various data processing 、 BI application  

Support big data analysis applications  

Easy to use ： Intuitive and clear OLAP Analysis display  

Convenient configuration ： Rapid deployment , Easy and fast  

Open standards ： Easy integration with other business systems , Low overall cost of ownership

Yixin ABI Have access from rich data sources 、 All round processing of data 、 Multiple data models 、 agile Visual analysis to cool portal design and application publishing , To provide users with a one-stop data analysis platform , It can realize the following values ：

1. Quickly build a big data display platform , Provide cool data visualization ;

2. Data reporting and analysis integration ;

3. Provide self-service analysis for business users , Let users analyze “ play ” get up ;

4. Mining knowledge from ordinary data ;

5. Pre process data problems , Improve data quality ;

6. Carry out data cleaning, conversion and loading , Consolidate data , Provide data marts ;

Core advantages of the product ： Yixin ABI One stop data analysis platform provides rich data source access 、 Data processing integration 、 Graphical data modeling 、 Rich data analysis methods , One stop data acquisition 、 Data processing 、 Data analysis , The platform provides local deployment and cloud deployment , Both can satisfy isv user , It can also meet the needs of individual users with development ability .