CN116010579A - Enterprise business data analysis processing system - Google Patents
Enterprise business data analysis processing system Download PDFInfo
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- CN116010579A CN116010579A CN202310075625.3A CN202310075625A CN116010579A CN 116010579 A CN116010579 A CN 116010579A CN 202310075625 A CN202310075625 A CN 202310075625A CN 116010579 A CN116010579 A CN 116010579A
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Abstract
The invention relates to data analysis processing, in particular to an enterprise business data analysis processing system, which comprises a server, wherein the server receives communication voice data sent by a voice data recording module and communication step data sent by a communication step recording module through a business data transmission module, the server performs distributed storage on the communication voice data and the communication step data through a business data storage module, converts the communication voice data into communication text data by utilizing a voice text conversion module, performs business volume analysis by utilizing a business volume analysis module based on the distributed stored business data, performs communication type analysis by utilizing a communication type analysis module based on the distributed stored business data, and performs communication keyword analysis on the distributed stored business data by utilizing a communication keyword analysis module; the technical scheme provided by the invention can overcome the defect that the enterprise business data is lack of effective analysis and cannot be processed efficiently.
Description
Technical Field
The invention relates to data analysis and processing, in particular to an enterprise business data analysis and processing system.
Background
For sales enterprises, in order to improve the service quality, the system management is generally performed through FMES, and the basic problem of terminal sales promotion is standardized. However, subjective factors such as positive initiative and sales skills of sales personnel are not affected by the management system, especially sales skills, and different sales personnel have different experiences, so that it is difficult to achieve the purpose of comprehensively improving sales level through the management system.
Even though the management is systematically performed through the FMES, and the human management is added, since the positive initiative of the salesperson is perceptual cognition and no data information verification exists, no matter how perfect the training is and how strict the supervision is, the communication between the salesperson and the consumer still has a plurality of problems.
How to effectively analyze business data of enterprises so as to fully understand the communication problem between sales personnel and consumers becomes a key of improving the business quality of sales enterprises. In addition, how to process business data efficiently becomes an important influencing factor for improving business processing efficiency of sales enterprises.
Disclosure of Invention
(one) solving the technical problems
Aiming at the defects existing in the prior art, the invention provides an enterprise business data analysis processing system which can effectively overcome the defects that the prior art lacks effective analysis on enterprise business data and cannot process the enterprise business data efficiently.
(II) technical scheme
In order to achieve the above purpose, the invention is realized by the following technical scheme:
the enterprise business data analysis processing system comprises a server, wherein the server receives communication voice data sent by a voice data recording module through a business data transmission module and communication step data sent by a communication step recording module, the server performs distributed storage on the communication voice data and the communication step data through a business data storage module, converts the communication voice data into communication text data through a voice text conversion module, performs business volume analysis based on the distributed stored business data through a business volume analysis module, performs communication type analysis based on the distributed stored business data through a communication type analysis module, performs communication keyword analysis on the distributed stored business data through a communication keyword analysis module, and performs communication efficiency analysis according to a communication keyword analysis result through a communication efficiency analysis module;
the server receives the target data query request through the target data query request receiving module, and obtains processing logic of service data based on the target data query request through the processing logic obtaining module, the server obtains a storage area of service data related to the processing logic from the distributed storage system through the storage area obtaining module, checks and verifies the processing logic based on service identification of the service data in the storage area through the processing logic checking module, performs data processing on the service data in the storage area through the service data processing module based on the processing logic, and displays the target data obtained after the data processing through the target data display module.
Preferably, the service data storage module performs distributed storage on communication voice data and communication step data, and includes:
the method comprises the steps of obtaining real-time business data transmitted by a business data transmission module, storing communication voice data with the same business identifier in the same storage area in a distributed storage system according to a preset strategy, and carrying out associated storage on communication step data corresponding to the communication voice data.
Preferably, before the service data storage module performs distributed storage on the communication voice data and the communication step data, the service data storage module includes:
the method comprises the steps of obtaining historical service data in a service data storage module, storing communication voice data with the same service identifier in the historical service data in the same storage area in a distributed storage system according to a preset strategy, and carrying out associated storage on communication step data corresponding to the communication voice data.
Preferably, the traffic analysis module performs traffic analysis based on the distributed stored traffic data, including:
the traffic analysis module analyzes the relation between the communication text data and the traffic data corresponding to the communication voice data of the same storage area in the distributed storage system and the relation between the communication step data and the traffic data corresponding to the communication voice data.
Preferably, the communication type analysis module performs communication type analysis based on the service data stored in a distributed manner, including:
the communication type analysis module counts the number of the communication people of each communication type every day of different service types according to the communication text data corresponding to the communication voice data of the same storage area in the distributed storage system, and calculates the duty ratio of each communication type;
the communication types include active communication, passive communication, active unresponsive communication, and passive unresponsive communication.
Preferably, the communication keyword analysis module performs communication keyword analysis on the service data stored in a distributed manner, and includes:
the communication keyword analysis module counts word frequencies of preset keywords in different service types in the communication process according to communication text data corresponding to communication voice data of the same storage area in the distributed storage system, and extracts preset keywords with preset numbers according to the sequence from high word frequencies to low word frequencies.
Preferably, the communication efficiency analysis module performs communication efficiency analysis according to the analysis result of the communication keyword, and includes:
the communication efficiency analysis module analyzes the relation between the ratio of word lengths of preset keywords in different business types in the communication process in the length of the communication text data and the business volume data according to the communication text data corresponding to the communication voice data of the same storage area in the distributed storage system.
Preferably, the service data processing module performs data processing on service data in a storage area based on processing logic, including:
and the business data processing module performs processing logic by utilizing the Flink, performs data processing on the business data in the storage area based on the business identifier of the business data in the storage area, and stores the target data obtained after the data processing into the same storage area as the business data.
Preferably, the target data display module displays the target data obtained after the data processing, including:
and the target data display module outputs target data of a storage area in the distributed storage system to a MySQL database, and the MySQL database displays the target data obtained after the data processing.
(III) beneficial effects
Compared with the prior art, the enterprise business data analysis processing system provided by the invention has the following beneficial effects:
1) The business data storage module performs distributed storage on communication voice data and communication step data, the voice-text conversion module converts the communication voice data into communication text data, the business volume analysis module performs business volume analysis based on the distributed stored business data, the communication type analysis module performs communication type analysis based on the distributed stored business data, the communication keyword analysis module performs communication keyword analysis on the distributed stored business data, the communication efficiency analysis module performs communication efficiency analysis according to the communication keyword analysis result, and the communication problem existing between sales personnel and consumers can be fully known by performing business volume analysis, communication type analysis, communication keyword analysis and communication efficiency analysis on the business data, sales personnel are helped to better improve sales level, and business quality of enterprises is effectively improved;
2) The target data query request receiving module receives a target data query request, the processing logic obtaining module obtains processing logic of service data based on the target data query request, the storage area obtaining module obtains a storage area of service data related to the processing logic from the distributed storage system, the processing logic checking module checks and checks the processing logic based on service identifiers of the service data in the storage area, the service data processing module performs data processing on the service data in the storage area based on the processing logic, on one hand, performs distributed storage on the service data with the same service identifiers, and on the other hand, checks and checks the processing logic based on the service identifiers of the service data in the storage area, so that efficient processing on the service data of enterprises can be realized, and the enterprises can be helped to effectively improve service processing efficiency.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is evident that the drawings in the following description are only some embodiments of the present invention and that other drawings may be obtained from these drawings without inventive effort for a person of ordinary skill in the art.
FIG. 1 is a schematic diagram of a system of the present invention;
fig. 2 is a schematic flow chart of analysis of enterprise business data according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. It will be apparent that the described embodiments are some, but not all, embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
An enterprise business data analysis processing system, as shown in fig. 1 and 2, comprises a server, wherein the server receives communication voice data sent by a voice data recording module and communication step data sent by a communication step recording module through a business data transmission module, the server performs distributed storage on the communication voice data and the communication step data through a business data storage module, converts the communication voice data into communication text data through a voice text conversion module, performs business volume analysis based on the distributed storage business data through a business volume analysis module, performs communication type analysis based on the distributed storage business data through a communication type analysis module, performs communication keyword analysis on the distributed storage business data through a communication keyword analysis module, and performs communication efficiency analysis according to a communication keyword analysis result through a communication efficiency analysis module.
(1) The service data storage module performs distributed storage on communication voice data and communication step data, and comprises the following steps:
the method comprises the steps of obtaining real-time business data transmitted by a business data transmission module, storing communication voice data with the same business identifier in the same storage area in a distributed storage system according to a preset strategy, and carrying out associated storage on communication step data corresponding to the communication voice data.
Before the service data storage module performs distributed storage on communication voice data and communication step data, the service data storage module includes:
the method comprises the steps of obtaining historical service data in a service data storage module, storing communication voice data with the same service identifier in the historical service data in the same storage area in a distributed storage system according to a preset strategy, and carrying out associated storage on communication step data corresponding to the communication voice data.
(2) The traffic analysis module performs traffic analysis based on the distributed stored traffic data, including:
the traffic analysis module analyzes the relation between the communication text data and the traffic data corresponding to the communication voice data of the same storage area in the distributed storage system and the relation between the communication step data and the traffic data corresponding to the communication voice data.
(3) The communication type analysis module performs communication type analysis based on the distributed stored service data, and includes:
the communication type analysis module counts the number of the communication people of each communication type every day of different service types according to the communication text data corresponding to the communication voice data of the same storage area in the distributed storage system, and calculates the duty ratio of each communication type;
the communication types include active communication, passive communication, active unresponsive communication, and passive unresponsive communication.
(4) The communication keyword analysis module performs communication keyword analysis on the service data stored in a distributed manner, and comprises the following steps:
the communication keyword analysis module counts word frequencies of preset keywords in different service types in the communication process according to communication text data corresponding to communication voice data of the same storage area in the distributed storage system, and extracts preset keywords with preset numbers according to the sequence from high word frequencies to low word frequencies.
(5) The communication efficiency analysis module performs communication efficiency analysis according to the analysis result of the communication keywords, and includes:
the communication efficiency analysis module analyzes the relation between the ratio of word lengths of preset keywords in different business types in the communication process in the length of the communication text data and the business volume data according to the communication text data corresponding to the communication voice data of the same storage area in the distributed storage system.
According to the technical scheme, the business data storage module performs distributed storage on communication voice data and communication step data, the voice-text conversion module converts the communication voice data into communication text data, the business volume analysis module performs business volume analysis based on the distributed stored business data, the communication type analysis module performs communication type analysis based on the distributed stored business data, the communication keyword analysis module performs communication keyword analysis on the distributed stored business data, and the communication efficiency analysis module performs communication efficiency analysis according to the communication keyword analysis result.
As shown in fig. 1, a server receives a target data query request through a target data query request receiving module, and obtains processing logic of service data based on the target data query request through a processing logic obtaining module, the server obtains a storage area of service data related to the processing logic from a distributed storage system through a storage area obtaining module, checks and verifies the processing logic based on service identification of the service data in the storage area through a processing logic checking module, performs data processing on the service data in the storage area through a service data processing module based on the processing logic, and displays the target data obtained after the data processing through a target data display module.
(1) The service data processing module performs data processing on service data in the storage area based on processing logic, and comprises the following steps:
and the business data processing module performs processing logic by utilizing the Flink, performs data processing on the business data in the storage area based on the business identifier of the business data in the storage area, and stores the target data obtained after the data processing into the same storage area as the business data.
(2) The target data display module displays the target data obtained after the data processing, and comprises the following steps:
and the target data display module outputs target data of a storage area in the distributed storage system to a MySQL database, and the MySQL database displays the target data obtained after the data processing.
According to the technical scheme, the target data query request receiving module receives the target data query request, the processing logic acquisition module acquires processing logic of service data based on the target data query request, the storage area acquisition module acquires a storage area of service data related to the processing logic from the distributed storage system, the processing logic checking module checks and checks the processing logic based on service identifiers of the service data in the storage area, the service data processing module performs data processing on the service data in the storage area based on the processing logic, on one hand, performs distributed storage on the service data with the same service identifiers, and on the other hand, checks and checks the processing logic based on the service identifiers of the service data in the storage area, so that efficient processing of the service data of an enterprise can be realized, and the enterprise is helped to effectively improve service processing efficiency.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (9)
1. An enterprise business data analysis processing system is characterized in that: the system comprises a server, wherein the server receives communication voice data sent by a voice data recording module through a service data transmission module and communication step data sent by a communication step recording module, the server stores the communication voice data and the communication step data in a distributed mode through a service data storage module and converts the communication voice data into communication text data through a voice text conversion module, the server analyzes the service volume based on the distributed stored service data through a service volume analysis module and analyzes the communication type based on the distributed stored service data through a communication type analysis module, and the server analyzes the communication keywords of the distributed stored service data through a communication keyword analysis module and analyzes the communication efficiency according to the analysis result of the communication keywords through a communication efficiency analysis module;
the server receives the target data query request through the target data query request receiving module, and obtains processing logic of service data based on the target data query request through the processing logic obtaining module, the server obtains a storage area of service data related to the processing logic from the distributed storage system through the storage area obtaining module, checks and verifies the processing logic based on service identification of the service data in the storage area through the processing logic checking module, performs data processing on the service data in the storage area through the service data processing module based on the processing logic, and displays the target data obtained after the data processing through the target data display module.
2. The enterprise business data analysis processing system of claim 1, wherein: the service data storage module performs distributed storage on communication voice data and communication step data, and comprises the following steps:
the method comprises the steps of obtaining real-time business data transmitted by a business data transmission module, storing communication voice data with the same business identifier in the same storage area in a distributed storage system according to a preset strategy, and carrying out associated storage on communication step data corresponding to the communication voice data.
3. The enterprise business data analysis processing system of claim 2, wherein: before the service data storage module performs distributed storage on communication voice data and communication step data, the service data storage module comprises:
the method comprises the steps of obtaining historical service data in a service data storage module, storing communication voice data with the same service identifier in the historical service data in the same storage area in a distributed storage system according to a preset strategy, and carrying out associated storage on communication step data corresponding to the communication voice data.
4. The enterprise business data analysis processing system of claim 2, wherein: the traffic analysis module performs traffic analysis based on the distributed stored traffic data, including:
the traffic analysis module analyzes the relation between the communication text data and the traffic data corresponding to the communication voice data of the same storage area in the distributed storage system and the relation between the communication step data and the traffic data corresponding to the communication voice data.
5. The enterprise business data analysis processing system of claim 2, wherein: the communication type analysis module performs communication type analysis based on the distributed stored service data, and comprises:
the communication type analysis module counts the number of the communication people of each communication type every day of different service types according to the communication text data corresponding to the communication voice data of the same storage area in the distributed storage system, and calculates the duty ratio of each communication type;
the communication types include active communication, passive communication, active unresponsive communication, and passive unresponsive communication.
6. The enterprise business data analysis processing system of claim 2, wherein: the communication keyword analysis module performs communication keyword analysis on the distributed stored service data, and comprises the following steps:
the communication keyword analysis module counts word frequencies of preset keywords in different service types in the communication process according to communication text data corresponding to communication voice data of the same storage area in the distributed storage system, and extracts preset keywords with preset numbers according to the sequence from high word frequencies to low word frequencies.
7. The enterprise business data analysis processing system of claim 6, wherein: the communication efficiency analysis module performs communication efficiency analysis according to the analysis result of the communication keywords, and includes:
the communication efficiency analysis module analyzes the relation between the ratio of word lengths of preset keywords in different business types in the communication process in the length of the communication text data and the business volume data according to the communication text data corresponding to the communication voice data of the same storage area in the distributed storage system.
8. The enterprise business data analysis processing system of claim 1, wherein: the service data processing module performs data processing on service data in a storage area based on processing logic, and comprises the following steps:
and the business data processing module performs processing logic by utilizing the Flink, performs data processing on the business data in the storage area based on the business identifier of the business data in the storage area, and stores the target data obtained after the data processing into the same storage area as the business data.
9. The enterprise business data analysis processing system of claim 8, wherein: the target data display module displays the target data obtained after the data processing, and comprises the following steps:
and the target data display module outputs target data of a storage area in the distributed storage system to a MySQL database, and the MySQL database displays the target data obtained after the data processing.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116822754A (en) * | 2023-08-30 | 2023-09-29 | 亿家商业科创产业管理(湖北)有限公司 | Data specification analysis system based on modularized classification of enterprise service items |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116822754A (en) * | 2023-08-30 | 2023-09-29 | 亿家商业科创产业管理(湖北)有限公司 | Data specification analysis system based on modularized classification of enterprise service items |
| CN116822754B (en) * | 2023-08-30 | 2023-12-15 | 亿家商业科创产业管理(湖北)有限公司 | Data specification analysis system based on modularized classification of enterprise service items |
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