CN111275355A - Data analysis method, device, equipment and storage medium - Google Patents
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Abstract
The invention discloses a data analysis method, a device, equipment and a storage medium, wherein the method comprises the following steps: monitoring the storage quantity data of the goods corresponding to the goods codes in a data system through preset goods codes; acquiring sales data of goods in the data system, acquiring sales data of the goods according to the sales data, and sending the sales data to a user terminal; receiving the goods feeding data returned by the user terminal according to the sales data, analyzing the storage data and the goods feeding data to obtain a data difference, and sending prompt information to the user terminal according to the data difference. The invention realizes that the data system monitors the storage data of the goods through the preset goods codes, sends the sales data to the user terminal, obtains the returned goods feeding data, analyzes the data difference between the storage data and the goods feeding data, and sends the prompt information to the user terminal according to the data difference, thereby improving the efficiency of goods data analysis.
Description
Technical Field
The present invention relates to the field of data analysis technologies, and in particular, to a method, an apparatus, a device, and a storage medium for analyzing data.
Background
The conventional goods processing method is manually carried out, and in the goods processing method, goods data acquisition, goods data statistics, goods data analysis and goods data management are manually carried out, so that the accuracy of the goods data cannot be guaranteed, the goods data cannot be analyzed in real time, and the statistics and the management of the goods data are not facilitated. Therefore, the goods data statistical accuracy of the current goods processing method is low, and the analysis efficiency of the goods data is improved.
Disclosure of Invention
The invention mainly aims to provide a data analysis method, a data analysis device, data analysis equipment and a data analysis storage medium, and aims to solve the technical problems that the existing cargo data is low in statistical accuracy and low in analysis efficiency of the cargo data.
In order to achieve the above object, the present invention provides a method for analyzing data, the method comprising the steps of:
monitoring the storage quantity data of the goods corresponding to the goods codes in a data system through preset goods codes;
acquiring sales data of goods in the data system, acquiring sales data of the goods according to the sales data, and sending the sales data to a user terminal;
receiving the goods feeding data returned by the user terminal according to the sales data, analyzing the storage data and the goods feeding data to obtain a data difference, and sending prompt information to the user terminal according to the data difference.
Preferably, the step of analyzing the storage data and the shipment data to obtain a data difference, and sending a prompt message to the user terminal according to the data difference includes:
analyzing the storage data and the goods-feeding data to obtain a data difference, and judging whether the data difference is smaller than or equal to zero;
when the data difference is less than or equal to zero, sending a prompt message of insufficient goods to the user terminal;
and when the data difference is larger than zero, sending prompt information of sufficient goods to the user terminal.
Preferably, after the step of sending the notice of insufficient goods to the user terminal when the data difference is less than or equal to zero, the method further includes:
carrying out data statistics on the goods feeding data to obtain goods feeding information;
and distributing goods for the user terminal according to the goods feeding information, recording distribution data, and obtaining remaining quantity data of the goods according to the distribution data.
Preferably, the step of performing data statistics on the stock data to obtain stock information includes:
carrying out data cleaning and data classification on the goods feeding data to obtain the goods feeding data information of each goods in the goods feeding data;
and carrying out data statistics on the goods feeding data information to obtain the goods feeding information.
Preferably, the step of distributing the goods for the user terminal according to the goods feeding information and recording distribution data, and obtaining remaining data of the goods according to the distribution data includes:
determining data of goods to be purchased according to the goods feeding information, and determining the total quantity of the goods to be purchased according to the data of the goods to be purchased;
distributing goods for the user terminal according to the goods feeding information, and recording distribution data;
and obtaining the residual data of the goods according to the difference value of the total data volume of the goods and the distribution data.
Preferably, after the step of distributing the goods for the user terminal according to the shipment information, recording distribution data, and obtaining remaining data of the goods according to the distribution data, the method further includes:
sending corresponding distribution data to the user terminal to enable the user terminal to output the distribution data, and returning detected confirmation information;
after the confirmation information is received and the confirmation information is detected to be verified successfully, removing the mark corresponding to the insufficient goods prompt information;
and performing data management according to the goods code according to the data information in the residual data.
Preferably, after the step of sending a prompt message that the goods are sufficient to the user terminal when the data difference is greater than zero, the method further includes:
and sending prompt information whether the goods feeding data needs to be added to the user terminal according to the sales data.
In order to achieve the above object, the present invention also provides a data analysis device including:
the monitoring module is used for monitoring the storage amount data of the goods corresponding to the goods codes in the data system through preset goods codes;
the acquisition module is used for acquiring sales data of the goods in the data system and acquiring sales data of the goods according to the sales data;
the sending module is used for sending the sales data to a user terminal;
the receiving module is used for receiving the goods feeding data returned by the user terminal according to the sales data;
the analysis module is used for analyzing the storage amount data and the goods feeding data to obtain a data difference;
and the sending module is also used for sending prompt information to the user terminal according to the data difference.
In addition, in order to achieve the above object, the present invention also provides an apparatus for analyzing data, which includes a memory, a processor, and a program for analyzing data stored on the memory and running on the processor, wherein the program for analyzing data implements the steps of the method for analyzing data as described above when executed by the processor.
Further, to achieve the above object, the present invention also provides a computer-readable storage medium having stored thereon an analysis program of data, which when executed by a processor, implements the steps of the analysis method of data as described above.
The method comprises the steps of monitoring storage quantity data of goods corresponding to goods in a data system through preset goods codes, obtaining sales data of the goods in the data system, obtaining sales data of the goods according to the sales data, sending the sales data to a user terminal, receiving goods feeding data returned by the user terminal according to the sales data, analyzing the storage quantity data and the goods feeding data to obtain a data difference, and sending prompt information to the user terminal according to the data difference. Therefore, in the process of cargo data analysis, the data system acquires the sales data and sends the acquired sales data to the user terminal, and after receiving the goods feeding data returned by the user terminal, the data analysis is performed on the storage data and the goods feeding data, and the data monitoring, the data acquisition and the data analysis of the cargo are automatically completed in the data system without manual operation, so that the errors of data statistics and the overtime of data management are reduced, the cargo data statistics accuracy is improved, and the cargo data analysis efficiency is improved.
Drawings
FIG. 1 is a schematic flow chart of a first embodiment of a method for analyzing data according to the present invention;
FIG. 2 is a schematic diagram of a preferred structure of the data analysis device of the present invention;
fig. 3 is a schematic structural diagram of a hardware operating environment according to an embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The invention provides a data analysis method, and referring to fig. 1, fig. 1 is a schematic flow chart of a first embodiment of the data analysis method of the invention.
While a logical order is shown in the flow chart, in some cases, the steps shown or described may be performed in a different order than presented herein.
The data analysis method comprises the following steps:
and step S10, monitoring the storage quantity data of the goods corresponding to the goods codes in the data system through preset goods codes.
The data system of the goods monitors the storage quantity data of the goods corresponding to the goods codes in real time through preset goods codes, the data system comprises a data acquisition layer, a data management layer, a data analysis layer and a data service layer of the goods, wherein the data acquisition layer is used for acquiring goods data, purchasing warehousing data of the goods, selling ex-warehousing data of the goods and the like, the goods data comprise goods names, manufacturers, goods varieties, goods unit prices, goods storage quantities and the like, the purchasing warehousing data of the goods comprise purchasing warehousing quantity, purchasing warehousing time and the like of the goods, and the selling ex-warehousing data of the goods comprise selling ex-warehousing quantity, selling ex-warehousing time and the like of the goods; the data management layer is used for checking the goods (bar code management goods checking, non-bar code management goods checking), and tracking the goods bar code or/and the serial number; the data analysis layer is used for inventory statistics query, comparison, report operation and the like of goods. And the data service layer is used for performing authority control on data and functions in the data system, and performing log viewing and authority setting. The preset goods code is to convert the goods data in the data system into a specific mark, and the data system can read each kind of stored goods data through the mark, wherein the types of the preset goods code are various, such as a sequence code, a feature code, a type code, a mixed code and the like. The storage amount data refers to the total amount of storage of the goods. For example, in this embodiment, the preset goods code is a feature code, the feature codes of the apple, banana, and orange in the data system are applet, banana, and orange, respectively, and the feature code of the storage data is summation, so that the data system can obtain the storage data of the apple in the data system through applet > summation.
And step S20, obtaining the sales data of the goods in the data system, obtaining the sales data of the goods according to the sales data, and sending the sales data to the user terminal.
The data system acquires real-time sales data of the goods through preset goods codes corresponding to the goods, collects the sales data to obtain sales data of the goods in preset unit time, and sends the sales data to the user terminal after the sales data are obtained. The real-time sales data refers to the sales volume of goods at preset time intervals, the sales volume data of the goods at preset unit time refers to the total sales volume of the goods at the preset time intervals, the preset time intervals are time differences between the two goods data statistics moments, and the preset time intervals can be set as required. The user terminal is the interactive equipment of the data system and the user, wherein the interactive equipment is divided into a remote processing terminal and an interactive terminal, the interactive equipment can be a desktop computer, a notebook, a palm computer and the like, and can also be other intelligent terminal equipment, such as a PDA and the like, the intelligent terminal equipment refers to a general computer input and output equipment with a communication processing control function, the type and the number of the configuration are determined according to the personal requirement, and the selected input and output equipment is provided with a keyboard, a reader, an optical character symbol or mark recognizer, a voice recognizer, a display and the like. For example, in this embodiment, the preset unit time is eight morning hours to ten evening hours, which is 14 hours in total, the preset time interval is two hours, and ten morning hours and twelve morning hours are statistical times of data of two goods, so that there are 7 time intervals, where the 7 time intervals are respectively marked as t1, t2, t3, t4, t5, t6, and t7, the sales data of the goods at 7 time intervals of a certain user, which is obtained by the data system in the preset unit time, t1 is 10, t2 is 15, t3 is 18, t4 is 25, t5 is 30, t6 is 37, and t7 is 40, the sales data of the goods in the preset unit time is 175, and the data system sends the sales data 175 to the user terminal.
And step S30, receiving the goods feeding data returned by the user terminal according to the sales data, analyzing the storage data and the goods feeding data to obtain a data difference, and sending prompt information to the user terminal according to the data difference.
After the user terminal receives the sales data, the user terminal outputs the sales data to a display interface for a user to check. After the user checks the sales data, the user can input the stocking data on the display interface of the user terminal according to the sales data. After the user terminal receives the goods feeding data, the goods feeding data are sent to the data system, after the data system receives the goods feeding data, the data analysis is carried out on the goods feeding data and the storage quantity data of the goods monitored in the data system, a data difference after the data analysis of the goods feeding data and the storage quantity data is obtained, and the data system sends prompt information corresponding to the data difference to the user terminal according to the obtained data difference. It should be noted that the shipment data sent by the user terminal to the data system may be submitted according to the actual situation of the user, the shipment data may be less than or equal to the sales data, or greater than the sales data, the shipment data refers to the number of goods purchased or introduced by the user according to the sales data of the goods, the data analysis refers to analyzing the collected large amount of data by using a proper data statistical method and a data comparison method, extracting useful data for difference, obtaining a difference value, the data statistical method refers to collecting, sorting, analyzing and explaining statistical data, the data statistical method includes various methods, such as a measurement statistical method, a count statistical method, and the like, the data comparison method includes various methods, such as a numerical value comparison method, an average comparison method, and the like, and the present embodiment does not limit the forms of the data statistical method and the data comparison method, and may be single, may be combined or/and otherwise. The data difference refers to a comparison result obtained by data analysis, and the form of the data difference is various, such as a specific data difference value, a data difference value range, and the like. For example, in this embodiment, the data system monitors that the storage data of the apple is 125, the user terminal outputs the sales data of the apple returned by the data system on the display interface as 145, at this time, the user inputs the shipment data of the apple in the display interface of the user terminal as 120 according to the sales data 145 and by combining with the actual situation, the data system performs data analysis on the storage data 125 of the apple and the shipment data 120 to obtain the data difference of the apple, and the data system sends corresponding prompt information to the user terminal according to the data difference.
The step S30 further includes:
step a, analyzing the storage amount data and the goods feeding data to obtain a data difference, and judging whether the data difference is smaller than or equal to zero;
step b, when the data difference is less than or equal to zero, sending goods shortage prompt information to the user terminal;
and c, when the data difference is larger than zero, sending prompt information of sufficient goods to the user terminal.
Specifically, the data system performs data analysis on the storage quantity data and the goods input data, specifically, after the data difference of the data analysis is obtained by subtracting the goods input data from the storage quantity data, whether the data difference is smaller than or equal to zero is judged, if the data difference is smaller than or equal to zero, the storage quantity data is smaller than or equal to the goods input data, and the data system sends prompt information of goods shortage to the user terminal; when the data difference is larger than zero, namely the storage data is larger than the goods-feeding data, the data system sends prompt information of sufficient goods to the user terminal so that the user can know whether goods can be fed in real time according to the prompt information. For example, in this embodiment, the storage data of the apples in the data system is 125, the shipment data returned by the user terminal to the data system is 120, and the data system performs data analysis on the storage data and the shipment data of the apples to obtain a data difference of 5 and greater than zero after the data analysis, so that the data system sends prompt information that the goods are sufficient to the user terminal, and the user knows that the apples can be shipped in real time according to the prompt information.
Further, the method for analyzing the data further comprises the following steps:
and m, sending prompt information whether the goods feeding data needs to be added to the user terminal according to the sales data.
And after the data system sends prompt information of sufficient goods to the user terminal, the data system sends prompt information of whether the goods data needs to be added to the user terminal according to the sales data. When the user terminal receives the prompt information, the user terminal outputs the prompt information, and the user can obtain the current sales data according to the prompt information, so that whether the stock data is added or not is determined.
The data system of the embodiment monitors the storage quantity data of goods corresponding to the goods in the data system through the preset goods codes, acquires the sales data of the goods in the data system, acquires the sales data of the goods according to the sales data, then sends the sales data to the user terminal so that a user can input the goods input data in the user terminal according to the sales data and submit the goods input data to the data system, after the data system receives the goods input data returned by the user terminal, performs data analysis on the storage quantity data and the goods input data to acquire a data difference after the data analysis, and sends prompt information to the user terminal according to the data difference. Therefore, in the process of cargo data analysis, the cargo data monitoring, the data acquisition and the data analysis are automatically completed in the data system without manual operation, so that the errors of data statistics and the overtime of data management are reduced, the cargo data statistics accuracy is improved, and the cargo data analysis efficiency is improved.
Further, a second embodiment of the method for analyzing data of the present invention is presented.
The second embodiment of the method for analyzing data is different from the first embodiment of the method for analyzing data in that the method for analyzing data further includes:
d, carrying out data statistics on the goods feeding data to obtain goods feeding information;
and e, distributing goods for the user terminal according to the goods feeding information, recording distribution data, and obtaining remaining quantity data of the goods according to the distribution data.
Specifically, after the data system sends prompt information of insufficient goods to the user terminal, the data system performs data statistics on the goods feeding data corresponding to the user terminal by using a data statistics method to obtain the goods feeding information. After the data of the data system is filled, the data system distributes goods for the user terminal according to the goods feeding quantity data of each goods in the goods feeding information, records the distribution data, and performs data statistics according to the distribution data by using a data statistical method to obtain the remaining quantity data of the goods. The data statistical method comprises a metering statistical method, a counting statistical method and the like, the goods feeding information comprises total goods feeding amount information of data, all variety information of the goods feeding and the like, the data filling refers to updating data of the data system after the goods are fed according to the goods feeding information, the data updating is realized by replacing an old data process corresponding to the old data in the data system with new data through data addition, data deletion and data modification, the goods distribution refers to distributing according to input required goods data, the distributing data refers to the number of the goods distributed to the user terminal, and the residual data refers to a difference value between the total data and the distributing data. For example, in the embodiment, before the goods are put, the original apple data in the data system is 100, the orange data is 120, the snow pear data is 150, the goods data of the apples in the goods information is 1000, the goods data of the oranges is 800, and the goods data of the snow pears is 500, after the goods are put according to the goods information, the data system adds the goods data and the original goods data to obtain the summed apple data of 1100, the orange data of 920, and the snow pear data of 650, deletes the original apple data, the orange data, and the snow pear data, and modifies the summed apple data, the orange data, and the snow pear data into the data of the apples, the snow pears, so that the apple data, the orange data, and the snow pear data in the data system are updated.
Further, the step d includes:
f, carrying out data cleaning and data classification on the goods feeding data to obtain the goods feeding data information of each goods in the goods feeding data;
and g, carrying out data statistics on the goods feeding data information to obtain the goods feeding information.
Specifically, after the data system obtains the input data of the goods, the data cleaning and the data classification are carried out on the input data, specifically, the data cleaning comprises the steps of checking whether the goods name, the goods variety and the like have data defects or not, filtering repeated goods data and the like, the data classification comprises the step of carrying out data classification on the input data according to the same attribute, characteristic and type, so that input data information such as input quantity information, input goods variety information and input goods order information of various goods in the input data is obtained, and the data statistical method is used for carrying out data statistics and summarization on the input data information to obtain input information such as input total quantity information and input goods all variety information of the goods. Data cleansing (Data cleansing) refers to a process of reviewing and verifying Data for the purpose of deleting duplicate information, correcting existing errors, and providing Data consistency, and Data Classification (Data Classification) refers to classifying and combining Data according to the type of the Data.
Further, the step e includes:
h, determining data of goods to be purchased according to the goods feeding information, and determining the total quantity of the goods to be purchased according to the data of the goods to be purchased;
step i, distributing goods for the user terminal according to the goods feeding information, and recording distribution data;
and j, obtaining the remaining data of the goods according to the difference value of the total data volume of the goods and the distribution data.
Specifically, the data system determines the name of goods to be purchased according to the names of the goods to be purchased in the goods feeding information, the quantity of the goods to be purchased is determined according to the quantity of the goods to be purchased, the total quantity of the goods to be purchased is obtained according to the quantity of the goods to be purchased, the goods are distributed for the user terminal according to the data of the quantity of the goods to be purchased, the distribution data is recorded, and data statistics is carried out on the difference value between the total data quantity of the goods to be purchased and the distribution data by using a data statistics method to obtain the residual quantity data of the goods.
In the embodiment, after the data system sends prompt information of insufficient goods to the user terminal, the data statistics method is used for carrying out data statistics on the goods feeding data corresponding to the user terminal to obtain the goods feeding information, after the data of the data system is filled, the data system carries out goods distribution for the user terminal according to the goods feeding data in the goods feeding information, and records the distribution data, so that the data statistics is carried out according to the distribution data to obtain the remaining data of the goods, errors of the data statistics are reduced, and the accuracy of the goods data statistics is improved.
Further, a third embodiment of the method for analyzing data of the present invention is provided.
The third embodiment of the method for analyzing data is different from the first or/and second embodiment of the method for analyzing data in that the method for analyzing data further includes:
step k, sending corresponding distribution data to the user terminal to allow the user terminal to output the distribution data and return detected confirmation information;
step l, after the confirmation information is received and the confirmation information is detected to be successfully verified, removing the mark corresponding to the insufficient goods prompt information;
and n, performing data management according to the goods code according to the data information in the residual data.
Specifically, after the data system distributes goods for the user terminal according to the goods feeding data, the data system sends distribution data to the user terminal, so that the user terminal outputs the distribution data to facilitate the user to confirm the distribution data in the user terminal. And after the user terminal detects the confirmation information, returning the confirmation information to the data system, and sending a reminding message that the distribution data is confirmed to the data system. After the data system receives the reminding information, the data system uses an information distinguishing method to compare, distinguish and verify the confirmation information returned by the user terminal and the information coded in the data system to obtain a verification result, the information coded information is preset in the data system, in the verification result, when the confirmation information is consistent with the information coded information, the verification result shows that the confirmation information is verified successfully, namely the verification result is successful, otherwise, the verification result shows that the confirmation information is verified unsuccessfully. If the data system detects that the verification result is successful, the information mark of the insufficient goods prompt message is removed, and the information mark is generated when the data system sends the insufficient goods prompt message to the user terminal; if the verification result is detected to be failure, the data system rechecks the distribution data, and then resends the checked distribution data to the user terminal for the user to confirm again in the user terminal. And after the detection and verification result is successful, the data system determines the residual data in the data system by using a data statistical method, and performs warehousing management according to the data information in the residual data and the goods codes in the data system. The information mark conveys specific information and meaning by using a graphic symbol or a characteristic symbol, the confirmation information is coded according to a preset information coding format, the information judgment method comprises an information direct comparison method and an information symbol comparison method, warehousing management refers to the step of inputting cargo data into a data system, it needs to be noted that information codes in the data system are consistent, the forms of the information coding format, the data statistical method and the information judgment method are not limited in the embodiment, and the information coding format, the data statistical method and the information judgment method can be single, mixed and in other forms. For example, in this embodiment, the information coding feature code right is successful, the false is failed, the distribution data sent by the data system to the user terminal is 500, if the confirmation information input by the user at the user terminal is yes, the verification result returned by the information discrimination method is right, the information flag of the insufficient goods prompt information is removed, if the confirmation information input by the user at the user terminal is no, the verification result obtained is false, the distribution data needs to be re-checked again, and then the checked distribution data is sent to the user terminal again for the user to confirm again at the user terminal.
In the embodiment, after the data system distributes goods for the user terminal according to the goods input data, the data system sends the distribution data to the user terminal so that the user terminal can output the distribution data to facilitate the user to confirm the distribution data in the user terminal, after the user terminal detects the confirmation information, the confirmation information is returned to the data system, the reminding information that the distribution data is confirmed is sent to the data system, after the reminding information is received by the data system, the confirmation information is verified by using an information judging method to obtain a verification result, and according to the verification result, the residual data in the data system is determined by using a data statistical method, so that the warehousing management is performed according to the goods codes in the data system according to the data information in the residual data, the efficiency of the data warehousing management is improved, and the process of the data warehousing management is simplified.
Further, the present invention provides a data analysis device, referring to fig. 2, the data analysis device including:
the monitoring module 10 is used for monitoring the storage amount data of the goods corresponding to the goods codes in the data system through preset goods codes;
the acquisition module 20 is configured to acquire sales data of the goods in the data system, and obtain sales data of the goods according to the sales data;
a sending module 30, configured to send the sales data to a user terminal;
a receiving module 40, configured to receive the goods-feeding data returned by the user terminal according to the sales data;
the analysis module 50 is used for analyzing the storage amount data and the goods-feeding data to obtain a data difference;
the sending module 30 is further configured to send a prompt message to the user terminal according to the data difference.
Further, the sending module 30 includes:
a judging unit configured to judge whether the data difference is less than or equal to zero;
the first sending unit is used for sending goods shortage prompt information to the user terminal when the data difference is smaller than or equal to zero;
and the second sending unit is used for sending prompt information of sufficient goods to the user terminal when the data difference is larger than zero.
Further, the data analysis device further includes:
the statistical module is used for carrying out data statistics on the goods feeding data to obtain goods feeding information;
and the distribution module is used for distributing goods for the user terminal according to the goods feeding information, recording distribution data and obtaining residual data of the goods according to the distribution data.
Further, the data analysis device further includes:
the first processing module is used for carrying out data cleaning and data classification on the goods feeding data to obtain the goods feeding data information of each goods in the goods feeding data;
and the second processing module is used for carrying out data statistics on the goods feeding data information to obtain the goods feeding information.
Further, the analysis module 50 includes:
the determining unit is used for determining the data of the goods to be purchased according to the goods feeding information and determining the total quantity of the goods to be purchased according to the data of the goods to be purchased;
the distribution unit is used for distributing goods for the user terminal according to the goods feeding information and recording distribution data;
and the processing unit is used for obtaining the residual data of the goods according to the difference value of the total data volume of the goods and the distribution data.
Further, the air conditioner is provided with a fan,
the sending module 30 is further configured to send corresponding distribution data to the user terminal, so that the user terminal outputs the distribution data and returns detected confirmation information;
the data analysis device further comprises:
the releasing module is used for releasing the mark corresponding to the insufficient goods prompt message after the confirmation message is received and the confirmation message is detected to be verified successfully;
and the management module is used for performing data management according to the data information in the residual data and the goods code.
Further, the sending module 30 is further configured to send, to the user terminal, a prompt message indicating whether the stock data needs to be added according to the sales data.
The specific implementation of the data-based analysis apparatus of the present invention is substantially the same as that of each embodiment of the data-based analysis method, and is not described herein again.
In addition, the invention also provides a data analysis device. As shown in fig. 3, fig. 3 is a schematic structural diagram of a hardware operating environment according to an embodiment of the present invention.
Fig. 3 is a schematic structural diagram of a hardware operating environment of a data analysis device.
Fig. 3 is a schematic diagram of a hardware operating environment of a data analysis device.
As shown, the data analysis device may include: analyzer 1001, e.g., CPU, memory 1005, user interface 1003, network interface 1004, communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may optionally be a storage device separate from the aforementioned analyzer 1001.
Optionally, the data analysis device may further include RF (Radio Frequency) circuits, sensors, WiFi modules, and the like.
Those skilled in the art will appreciate that the data analysis device configuration shown in FIG. 3 does not constitute a limitation of the data analysis device, and may include more or fewer components than shown, or some components in combination, or a different arrangement of components.
As shown in fig. 3, a memory 1005, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and an analysis program of data. Among them, the operating system is a program that manages and controls hardware and software resources of the analyzing apparatus of data, an analyzing program that supports data, and the execution of other software or programs.
In the data analysis device shown in the figure, the user interface 1003 is mainly used for displaying user terminal data, so that a user can obtain data sent by a data system and/or input data at the user terminal device; the network interface 1004 is mainly used for a data system, and performs data communication with a user terminal; the analyzer 1001 may be configured to call an analysis program of data stored in the memory 1005 and execute the steps of the control method of the data analysis apparatus as described above.
The specific implementation of the data analysis device of the present invention is substantially the same as the embodiments of the data analysis method described above, and is not described herein again.
Furthermore, an embodiment of the present invention further provides a computer-readable storage medium, where an analysis program of data is stored, and when the analysis program of data is executed by an analyzer, the steps of the data analysis method described above are implemented.
The specific implementation manner of the computer-readable storage medium of the present invention is substantially the same as that of the embodiments of the data analysis method described above, and is not described herein again.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation manner in many cases. Based on such understanding, the technical solution of the present invention may be embodied in the form of software goods, which are stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and include instructions for causing a data analysis device to execute the method according to the embodiments of the present invention.
Claims (10)
1. A method for analyzing data, comprising the steps of:
monitoring the storage quantity data of the goods corresponding to the goods codes in a data system through preset goods codes;
acquiring sales data of goods in the data system, acquiring sales data of the goods according to the sales data, and sending the sales data to a user terminal;
receiving the goods feeding data returned by the user terminal according to the sales data, analyzing the storage data and the goods feeding data to obtain a data difference, and sending prompt information to the user terminal according to the data difference.
2. The method for analyzing data according to claim 1, wherein the step of analyzing the storage data and the incoming data to obtain a data difference, and the step of sending a prompt message to the user terminal according to the data difference comprises:
analyzing the storage data and the goods-feeding data to obtain a data difference, and judging whether the data difference is smaller than or equal to zero;
when the data difference is less than or equal to zero, sending a prompt message of insufficient goods to the user terminal;
and when the data difference is larger than zero, sending prompt information of sufficient goods to the user terminal.
3. The method for analyzing data according to claim 2, wherein after the step of sending the notice of cargo shortage to the user terminal when the data difference is less than or equal to zero, the method further comprises:
carrying out data statistics on the goods feeding data to obtain goods feeding information;
and distributing goods for the user terminal according to the goods feeding information, recording distribution data, and obtaining remaining quantity data of the goods according to the distribution data.
4. The method for analyzing data according to claim 3, wherein the step of performing data statistics on the shipment data to obtain the shipment information comprises:
carrying out data cleaning and data classification on the goods feeding data to obtain the goods feeding data information of each goods in the goods feeding data;
and carrying out data statistics on the goods feeding data information to obtain the goods feeding information.
5. The data analysis method of claim 3, wherein the step of distributing the goods for the user terminal according to the goods-in-stock information and recording distribution data, and obtaining the remaining data of the goods according to the distribution data comprises:
determining data of goods to be purchased according to the goods feeding information, and determining the total quantity of the goods to be purchased according to the data of the goods to be purchased;
distributing goods for the user terminal according to the goods feeding information, and recording distribution data;
and obtaining the residual data of the goods according to the difference value of the total data volume of the goods and the distribution data.
6. The method for analyzing data according to claim 3, wherein after the steps of distributing the goods for the user terminal according to the shipment information, recording distribution data, and obtaining remaining data of the goods according to the distribution data, the method further comprises:
sending corresponding distribution data to the user terminal to enable the user terminal to output the distribution data, and returning detected confirmation information;
after the confirmation information is received and the confirmation information is detected to be verified successfully, removing the mark corresponding to the insufficient goods prompt information;
and performing data management according to the goods code according to the data information in the residual data.
7. The method for analyzing data according to any one of claims 2 to 6, wherein after the step of sending a prompt of the goods sufficiency to the user terminal when the data difference is greater than zero, the method further comprises:
and sending prompt information whether the goods feeding data needs to be added to the user terminal according to the sales data.
8. An apparatus for analyzing data, comprising:
the monitoring module is used for monitoring the storage amount data of the goods corresponding to the goods codes in the data system through preset goods codes;
the acquisition module is used for acquiring sales data of the goods in the data system and acquiring sales data of the goods according to the sales data;
the sending module is used for sending the sales data to a user terminal;
the receiving module is used for receiving the goods feeding data returned by the user terminal according to the sales data;
the analysis module is used for analyzing the storage amount data and the goods feeding data to obtain a data difference;
and the sending module is also used for sending prompt information to the user terminal according to the data difference.
9. An apparatus for analyzing data, characterized in that the apparatus comprises a memory, a processor and a program for analyzing data stored on the memory and running on the processor, the program for analyzing data implementing the steps of the method for analyzing data according to any one of claims 1 to 7 when executed by the processor.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon an analysis program of data, which when executed by a processor implements the steps of the analysis method of data according to any one of claims 1 to 7.
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