An interactive intelligent analysis management system and method based on data center

Abstract

The present invention discloses an interactive intelligent analysis management system and method based on a data middle platform, and belongs to the technical field of data middle platforms. The present invention tracks the order status of a business system, collects the full life cycle data of each order in the business system and uploads it to the data middle platform; based on the data middle platform, the full life cycle data of each order in the business system is processed, the satisfaction decay of each order is calculated, and a first set of focused orders is generated according to the satisfaction decay of each order; the requirements of each order are analyzed according to the first set of focused orders, and enterprise resources are screened based on the data middle platform to generate a corresponding list of business objects; according to the list of business objects, a prompt for the allocation of the first focused order is issued to each business object, and the business system is managed according to the selection of each business object. The present invention effectively improves the satisfaction of business processing by actively identifying orders with satisfaction decay and optimizing business processing.

Description

Technical Field

[0001] The present invention relates to the technical field of data middle platform, and specifically to an interactive intelligent analysis management system and method based on a data middle platform. Background Art

[0002] The data center is a key component of the digital transformation of enterprises in recent years. It is a comprehensive platform that integrates data integration, storage, processing, analysis and management functions. The data center can collect data from different data sources, conduct centralized management and optimize data resources, and provide enterprises with unified data services to support the rapid iteration of front-end business systems.

[0003] In the field of online services, enterprises and customers monitor the order status in real time through online platforms. Enterprises can obtain customer feedback on services in a timely manner. At the same time, customers expect to obtain real-time progress feedback and understand the fulfillment of orders. In order to meet the progress of both parties in the business and respond to customer needs in a timely manner, the present invention provides an interactive intelligent analysis management system and method based on a data middle platform, which manages the orders of the business system based on the data middle platform and analyzes the order processing in the business system, so as to improve the cooperation efficiency of the two parties in the interaction. Summary of the invention

[0004] The purpose of the present invention is to provide an interactive intelligent analysis management system and method based on a data center to solve the problems raised in the above-mentioned background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: an interactive intelligent analysis management method based on a data center, the method comprising the following steps:

[0006] Step S1: Track the order status of the business system, collect the full life cycle data of each order in the business system and upload it to the data center;

[0007] Step S2: Based on the data center, the full life cycle data of each order in the business system is processed, the satisfaction decay of each order is calculated, and the first concerned orders are extracted according to the satisfaction decay of each order to generate a first concerned order set;

[0008] Step S3: Analyze the requirements of each order according to the first set of orders of interest, screen enterprise resources based on the data center, mark the business objects that meet the first set of orders of interest, and generate a corresponding business object list;

[0009] Step S4: Send a first attention order allocation prompt to each business object according to the business object list, and manage the business system based on the data center according to the selection of each business object.

[0010] Furthermore, in step S1, according to the order status conversion rules and trigger conditions of the business system, the full life cycle data of the current numbered orders are collected, the order set of each business object in the unit period is collected, and each order in the order set is sorted according to the allocation time, which is recorded as YD = {d k |k∈[1,n]}; where d k represents the kth order in the order set, and n represents the total number of orders in the order set; the allocation time represents the time when the business system allocates the order to the business object;

[0011] Marking the status of each order in the order set, wherein the order status includes a pending allocation status, an unfinished status, and a completed status;

[0012] The business system refers to the computer system operated by the enterprise, which is used to manage the interaction between the enterprise and users and manage business-related data through automated business processes;

[0013] The full life cycle data refers to all data generated during the entire life cycle of an order from entering the business system to data archiving.

[0014] Furthermore, the step S2 specifically includes the following steps:

[0015] Step S21: Access the historical order execution records uploaded by each business object in the business system, extract the order allocation time and order completion time of each business object, and the customer satisfaction score according to the historical order execution records; calculate the satisfaction decay rate of any business object in a unit period according to the following formula:

[0016]

[0017]

[0018] in, represents the average satisfaction of any business object in the Tth unit period, s i represents the customer satisfaction score of the i-th order completed by any business object within a unit period; I T Indicates the total number of orders completed by any business object in the Tth unit period; represents the overall mean of customer satisfaction ratings;

[0019] t|T represents the average time of all orders in the Tth unit period from the time the order is placed; It represents the average time of all orders from the time the order is placed;

[0020] Step S22: Calculate the satisfaction decay rate corresponding to the historical unit period of each business object through the historical order execution records, and obtain the satisfaction decay rate sample;

[0021] The satisfactory decay rate model f(λ) is constructed according to the following formula:

[0022]

[0023] Among them, μ is the preset attenuation expected value, σ 2 is the variance;

[0024] Step S23: extract the order set of each business object in the unit period, and calculate the satisfaction decay of the unfinished orders in the order set according to the following formula:

[0025]

[0026] Among them, SD(w) represents the satisfaction decay of the wth unfinished order in the order set, represents the satisfactory decay rate function, express Following the distribution of the satisfaction decay rate model, t represents the time from the time the wth order is placed;

[0027] Calculate the satisfaction decay of the unfinished orders in the order set of each business object within the unit period. If the satisfaction decay of an order is greater than a threshold, the order is determined to be a first-focus order. Extract all first-focus orders to generate a first-focus order set, denoted as FG = {g a |a∈[0,A]}; where g a represents the ath order in the first focused order set, and A represents the total number of orders in the first focused order set.

[0028] Furthermore, the step S3 specifically includes the following steps:

[0029] Step S31: for any first-watched order in the first-watched order set, collect the preset completion time zt of the current first-watched order in the business object to which it belongs, collect the ranking p of the current first-watched order in the unfinished orders of the business object to which it belongs, and obtain the average time DO taken to complete orders of the business object to which the current first-watched order belongs;

[0030] The order demand analysis includes the following steps:

[0031] Step S311: Calculate the estimated execution waiting time wt=t+p×DO of any first order of interest, set wt+DO>zt as the first judgment condition, and determine that the first order of interest that meets the first judgment condition has a first execution demand;

[0032] Step S312: Set the satisfaction threshold M to satisfy S0-SD(a)| t＝wt <M is set as the second discrimination condition, where S0 represents the initial satisfaction of the first concerned order, SD(a) represents the satisfaction decay of the ath order in the first concerned order set, and it is determined that the first concerned order that meets the second discrimination condition has a second execution demand;

[0033] Step S32: Filter the enterprise resources based on the data center, obtain a list of business objects that do not have the first concerned order in the current order set, mark them as a set of business objects to be selected, and add the business object to the set of business objects to be selected for the first concerned order that only meets the first discrimination condition; analyze the receiving capacity value of the set of business objects to be selected, and specifically calculate it by the following formula:

[0034]

[0035] Wherein, NL(i) represents the receiving capacity value of the i-th business object for the a-th first-concern order; w∈[0,ni], ni represents the total number of unfinished orders in the order set of the i-th business object; represents a conditional discrimination function, which is used to determine whether the unfinished orders in the order set of the i-th business object meet the first discrimination condition; zt w Indicates the preset completion time of the wth unfinished order in the order set of the i-th business object, DO w-1 represents the average time it takes for the i-th business object to complete an order, w a Indicates the estimated completion time of the first order after it is inserted into the order collection of the i-th business object; hour, when hour,

[0036] Step S33: Determine whether the business objects with receiving capability values ​​greater than 1 meet the receiving conditions of the first concerned order, report the business objects that meet the receiving conditions of the first concerned order, sort them according to the size of the receiving capability values, and generate a corresponding business object list, recorded as list_i, list_i = {YW j |j∈[1,J]}; where YW j represents the jth business object in the business object list of the i-th first concerned order, and J represents the total number of business objects in the business system.

[0037] Furthermore, the step S4 specifically includes the following steps:

[0038] Step S41: according to the corresponding business object list of each first concerned order, issue a distribution prompt about the first concerned order to J business objects in list_i, wait for the business object to respond for r time, and report the ID corresponding to the business object that first receives the first concerned order;

[0039] Step S42: If there is a business object in r that receives the first order of interest, obtain the order set of the business object, insert the first order of interest into and output the final business object order set; update the relevant data of the first order of interest based on the data middle platform, and push the updated relevant data of the first order of interest to the management personnel and relevant business objects for confirmation.

[0040] An interactive intelligent analysis and management system based on a data middle platform, comprising: a business tracking module, a data middle platform, a data processing module, a data analysis module and a business management module;

[0041] The business tracking module is used to track the order status of the business system, collect the full life cycle data of each order in the business system and upload it to the data center;

[0042] The data center is used to clean the uploaded data, perform data analysis tasks according to business needs, and provide a data service interface;

[0043] The data processing module processes the full life cycle data of each order in the business system based on the data middle platform, calculates the satisfaction decay of each order, extracts the first concerned order according to the satisfaction decay of each order, and generates a first concerned order set;

[0044] The data analysis module is used to analyze the requirements of each order according to the first set of concerned orders, screen enterprise resources based on the data center, mark the business objects that meet the first set of concerned orders, and generate a corresponding business object list;

[0045] The business management module is used to send a first focus order allocation prompt to each business object according to the business object list, and manage the business system based on the data middle platform according to the selection of each business object.

[0046] Further, the business tracking module includes a business data acquisition unit and a business data integration unit;

[0047] The business data acquisition unit collects the full life cycle data of each current numbered order and the order set of each business object within a unit period according to the order status conversion rules and trigger conditions of the business system;

[0048] The business data integration unit is used to mark the status of each order in the order set, and the order status includes a to-be-allocated status, an unfinished status, and a completed status.

[0049] Further, the data processing module includes an interactive data extraction unit and an interactive data processing unit;

[0050] The interactive data extraction unit is used to access the historical order execution records uploaded by each business object in the business system, extract the order allocation time and order completion time of each business object, and the customer satisfaction score according to the historical order execution records; and calculate the satisfaction decay rate of any business object in a unit period according to the following formula:

[0051]

[0052]

[0053] in, represents the average satisfaction of any business object in the Tth unit period, s i represents the customer satisfaction score of the i-th order completed by any business object within a unit period; I T Indicates the total number of orders completed by any business object in the Tth unit period; represents the overall mean of customer satisfaction ratings; t|T represents the average time of all orders in the Tth unit period from the time the order is placed; It represents the average time of all orders from the time the order is placed;

[0054] The interactive data processing unit calculates the satisfaction decay rate corresponding to the historical unit period of each business object through the historical order execution record, and obtains the satisfaction decay rate sample; constructs the satisfaction decay rate model according to the satisfaction decay rate sample, and calculates the satisfaction decay of the orders in the unfinished state in the order set of each business object within the unit period based on the satisfaction decay rate model; if the satisfaction decay of the order is greater than the threshold, the order is determined to be the first concerned order, all the first concerned orders are extracted, and the first concerned order set is generated, which is recorded as FG={g a |a∈[0,A]}; where g a represents the ath order in the first focused order set, and A represents the total number of orders in the first focused order set.

[0055] Further, the data analysis module includes an order demand analysis unit and a business data analysis unit;

[0056] The order demand analysis unit is used to collect the preset completion time zt of the current first concerned order in the business object to which it belongs, collect the ranking p of the current first concerned order in the uncompleted orders of the business object to which it belongs, and obtain the average time DO taken to complete the order of the business object to which the current first concerned order belongs;

[0057] Specifically, the order demand analysis includes the following steps:

[0058] Step S311: Calculate the estimated execution waiting time wt=t+p×DO of any first order of interest, set wt+DO>zt as the first judgment condition, and determine that the first order of interest that meets the first judgment condition has a first execution demand;

[0059] Step S312: Set the satisfaction threshold M to satisfy S0-SD(a)| t＝wt <M is set as the second discrimination condition, where S0 represents the initial satisfaction of the first concerned order, SD(a) represents the satisfaction decay of the ath order in the first concerned order set, and it is determined that the first concerned order that meets the second discrimination condition has a second execution demand;

[0060] The business data analysis unit screens the enterprise resources based on the data center, obtains a list of business objects in the current order set that do not contain the first concerned order, marks them as a set of business objects to be selected, and adds the business object to the set of business objects to be selected for the first concerned order that only meets the first discrimination condition; analyzes the receiving capacity value of the set of business objects to be selected, and specifically calculates it by the following formula:

[0061]

[0062] Wherein, NL(i) represents the receiving capacity value of the i-th business object for the a-th first-concern order; w∈[0,ni], ni represents the total number of unfinished orders in the order set of the i-th business object;

[0063] represents a conditional discrimination function, which is used to determine whether the unfinished orders in the order set of the i-th business object meet the first discrimination condition; zt w Indicates the preset completion time of the wth unfinished order in the order set of the i-th business object, DO w-1 represents the average time it takes for the i-th business object to complete an order, w a Indicates the estimated completion time of the first order after it is inserted into the order collection of the i-th business object; hour, when hour, Determine whether the business object with a receiving capability value greater than 1 satisfies the receiving condition of the first concerned order, report the business objects that meet the receiving condition of the first concerned order, sort them according to the receiving capability value, and generate a corresponding business object list, recorded as list_i, list_i={YW j |j∈[1,J]}; where YW j represents the jth business object in the business object list of the i-th first concerned order, and J represents the total number of business objects in the business system.

[0064] Further, the service management module includes a service resource allocation unit and a data update unit;

[0065] The business resource allocation unit issues allocation prompts about the first concerned order to J business objects in list_i according to the corresponding business object list of each first concerned order, waits for the business object to respond for r time, and reports the ID corresponding to the business object that first receives the first concerned order;

[0066] The data update unit is used to manage the business objects that receive the first attention order within r, obtain the order set of the business objects that receive the first attention order, insert the first attention order into and output the final business object order set; update the relevant data of the first attention order based on the data middle platform, and push the updated relevant data of the first attention order to the management personnel and relevant business objects for confirmation.

[0067] Compared with the prior art, the beneficial effects achieved by the present invention are:

[0068] The present invention tracks the order status of the business system through the business tracking module, collects the full life cycle data of each order in the business system and uploads it to the data middle platform; through the collection and analysis of the full life cycle data, it can more effectively manage the order status, and timely identify and respond to potential business processing risks.

[0069] The present invention processes the full life cycle data of each order in the business system based on the data center through a data processing module, calculates the satisfaction decay of each order, extracts the first concerned orders according to the satisfaction decay of each order, and generates a first concerned order set; it can actively identify orders with declining customer satisfaction, and optimize the business process in a targeted manner based on the specific conditions of each order and business object, thereby improving overall customer satisfaction. It is helpful to improve service quality and reduce customer churn rate.

[0070] The present invention analyzes the requirements of each order according to the first concerned order set through a data analysis module, screens enterprise resources based on a data middle platform, marks business objects that meet the first concerned order, and generates a corresponding business object list; by screening enterprise resources based on a data middle platform, it can ensure that business objects capable of processing the first concerned order are preferentially allocated to the orders that need the most attention, thereby improving order processing efficiency. By analyzing the requirements of the first concerned order, enterprises can provide more accurate service strategies to improve order conversion rates and customer loyalty. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0072] Figure 1 It is a structural diagram of an interactive intelligent analysis management system based on a data middle platform of the present invention;

[0073] Figure 2 It is a structural diagram of an interactive intelligent analysis management method based on a data middle platform of the present invention. DETAILED DESCRIPTION

[0074] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0075] See also Figure 1 , in the first embodiment: an interactive intelligent analysis management system based on a data middle platform is provided, including: a business tracking module, a data middle platform, a data processing module, a data analysis module and a business management module;

[0076] The business tracking module is used to track the order status of the business system, collect the full life cycle data of each order in the business system and upload it to the data center; it includes a business data acquisition unit and a business data integration unit;

[0077] The business data acquisition unit collects the full life cycle data of the current numbered orders and the order set of each business object within a unit period according to the order status conversion rules and trigger conditions of the business system;

[0078] The business data integration unit is used to mark the status of each order in the order set, and the order status includes a waiting to be allocated state, an unfinished state and a completed state.

[0079] The data center is used to clean the uploaded data, perform data analysis tasks according to business needs, and provide data service interfaces;

[0080] The data processing module processes the full life cycle data of each order in the business system based on the data middle platform, calculates the satisfaction decay of each order, extracts the first concerned order according to the satisfaction decay of each order, and generates a first concerned order set; it includes an interactive data extraction unit and an interactive data processing unit;

[0081] The interactive data extraction unit is used to access the historical order execution records uploaded by each business object in the business system, extract the order allocation time and order completion time of each business object, and the customer satisfaction score according to the historical order execution records; and calculate the satisfaction decay rate of any business object in a unit period according to the following formula:

[0082]

[0083]

[0084] in, represents the average satisfaction of any business object in the Tth unit period, s i represents the customer satisfaction score of the i-th order completed by any business object within a unit period; I T Indicates the total number of orders completed by any business object in the Tth unit period; represents the overall mean of customer satisfaction ratings; t|T represents the average time of all orders in the Tth unit period from the time the order is placed; It represents the average time of all orders from the time the order is placed;

[0085] The interactive data processing unit calculates the satisfaction decay rate corresponding to the historical unit period of each business object through the historical order execution record, and obtains the satisfaction decay rate sample; constructs the satisfaction decay rate model according to the satisfaction decay rate sample, and calculates the satisfaction decay of the orders in the unfinished state in the order set of each business object within the unit period based on the satisfaction decay rate model; if the satisfaction decay of the order is greater than the threshold, the order is determined to be the first concerned order, all the first concerned orders are extracted, and the first concerned order set is generated, which is recorded as FG={g a |a∈[0,A]}; where g a represents the ath order in the first focused order set, and A represents the total number of orders in the first focused order set.

[0086] A data analysis module is used to analyze the requirements of each order according to the first set of concerned orders, screen enterprise resources based on the data center, mark the business objects that meet the first set of concerned orders, and generate a corresponding business object list;

[0087] The order demand analysis unit is used to collect the preset completion time zt of the current first concerned order in the business object to which it belongs, collect the ranking p of the current first concerned order in the uncompleted orders of the business object to which it belongs, and obtain the average time DO taken to complete the order of the business object to which the current first concerned order belongs;

[0088] Specifically, the order demand analysis includes the following steps:

[0089] Step S311: Calculate the estimated execution waiting time wt=t+p×DO of any first order of interest, set wt+DO>zt as the first judgment condition, and determine that the first order of interest that meets the first judgment condition has a first execution demand;

[0090] Step S312: Set the satisfaction threshold M to satisfy S0-SD(a)| t＝wt <M is set as the second discrimination condition, where S0 represents the initial satisfaction of the first concerned order, SD(a) represents the satisfaction decay of the ath order in the first concerned order set, and it is determined that the first concerned order that meets the second discrimination condition has a second execution demand;

[0091] The business data analysis unit screens the enterprise resources based on the data center, obtains a list of business objects in the current order set that do not contain the first concerned order, marks them as a set of business objects to be selected, and adds the business object to the set of business objects to be selected for the first concerned order that only meets the first discrimination condition; analyzes the receiving capacity value of the set of business objects to be selected, and specifically calculates it by the following formula:

[0092]

[0093] Wherein, NL(i) represents the receiving capacity value of the i-th business object for the a-th first-concern order; w∈[0,ni], ni represents the total number of unfinished orders in the order set of the i-th business object;

[0094] represents a conditional discrimination function, which is used to determine whether the unfinished orders in the order set of the i-th business object meet the first discrimination condition; zt w Indicates the preset completion time of the wth unfinished order in the order set of the i-th business object, DO w-1 represents the average time it takes for the i-th business object to complete an order, w aIndicates the estimated completion time of the first order after it is inserted into the order collection of the i-th business object; hour, when hour, Determine whether the business object with a receiving capability value greater than 1 satisfies the receiving condition of the first concerned order, report the business objects that meet the receiving condition of the first concerned order, sort them according to the receiving capability value, and generate a corresponding business object list, recorded as list_i, list_i={YW j |j∈[1,J]}; where YW j represents the jth business object in the business object list of the i-th first concerned order, and J represents the total number of business objects in the business system.

[0095] The business management module is used to send the first order allocation prompt to each business object according to the business object list, and manage the business system based on the data center according to the selection of each business object. It includes an order demand analysis unit and a business data analysis unit; it includes a business resource allocation unit and a data update unit;

[0096] The business resource allocation unit issues allocation prompts about the first concerned order to the J business objects in list_i according to the corresponding business object list of each first concerned order, waits for the business object to respond for r time, and reports the ID corresponding to the business object that first receives the first concerned order;

[0097] The data update unit is used to manage the business objects that receive the first attention order within r, obtain the order set of the business objects that receive the first attention order, insert the first attention order into and output the final business object order set; update the relevant data of the first attention order based on the data middle platform, and push the updated relevant data of the first attention order to the management personnel and relevant business objects for confirmation.

[0098] See also Figure 2 In the second embodiment, an interactive intelligent analysis management method based on a data center is provided, and the method comprises the following steps:

[0099] Step S1: According to the order status conversion rules and trigger conditions of the business system, the full life cycle data of the current numbered orders are collected, the order set of each business object in the unit period is collected, and each order in the order set is sorted according to the allocation time, which is recorded as YD = {d k |k∈[1,n]}; where d k represents the kth order in the order set, and n represents the total number of orders in the order set; the status of each order in the order set is marked, and the order status includes a pending allocation status, an unfinished status, and a completed status;

[0100] Exemplarily, when sorting by allocation time, an SQL query statement is used to retrieve order allocation records from the database, the allocation timestamp of each order number is extracted, the order numbers are arranged in ascending order according to the timestamp field, and the order set is output;

[0101] Step S2: Based on the data center, the full life cycle data of each order in the business system is processed, the satisfaction decay of each order is calculated, and the first concerned orders are extracted according to the satisfaction decay of each order to generate a first concerned order set;

[0102] Step S21: Access the historical order execution records uploaded by each business object in the business system, extract the order allocation time and order completion time of each business object, and the customer satisfaction score according to the historical order execution records; calculate the satisfaction decay rate of any business object in a unit period according to the following formula:

[0103]

[0104]

[0105] in, represents the average satisfaction of any business object in the Tth unit period, s i represents the customer satisfaction score of the i-th order completed by any business object within a unit period; I T Indicates the total number of orders completed by any business object in the Tth unit period; represents the overall mean of customer satisfaction ratings;

[0106] t|T represents the average time of all orders in the Tth unit period from the time the order is placed; It represents the average time of all orders from the time the order is placed;

[0107] Step S22: Calculate the satisfaction decay rate corresponding to the historical unit period of each business object through the historical order execution records, and obtain the satisfaction decay rate sample;

[0108] The satisfactory decay rate model f(λ) is constructed according to the following formula:

[0109]

[0110] Among them, μ is the preset attenuation expected value, σ 2 is the variance;

[0111] Step S23: extract the order set of each business object in the unit period, and calculate the satisfaction decay of the unfinished orders in the order set according to the following formula:

[0112]

[0113] Among them, SD(w) represents the satisfaction decay of the wth unfinished order in the order set, represents the satisfactory decay rate function, express Following the distribution of the satisfaction decay rate model, t represents the time from the time the wth order is placed;

[0114] Calculate the satisfaction decay of the unfinished orders in the order set of each business object within the unit period. If the satisfaction decay of an order is greater than a threshold, the order is determined to be a first-focus order. Extract all first-focus orders to generate a first-focus order set, denoted as FG = {g a |a∈[0,A]}; where g a represents the ath order in the first focused order set, and A represents the total number of orders in the first focused order set.

[0115] Step S3: Analyze the requirements of each order according to the first set of orders of interest, screen enterprise resources based on the data center, mark the business objects that meet the first set of orders of interest, and generate a corresponding business object list;

[0116] Step S31: for any first-watched order in the first-watched order set, collect the preset completion time zt of the current first-watched order in the business object to which it belongs, collect the ranking p of the current first-watched order in the unfinished orders of the business object to which it belongs, and obtain the average time DO taken to complete orders of the business object to which the current first-watched order belongs;

[0117] The order demand analysis includes the following steps:

[0118] Step S311: Calculate the estimated execution waiting time wt=t+p×DO of any first concerned order, set wt+DO>zt as the first discrimination condition, and determine that the first concerned order that satisfies the first discrimination condition has a first execution requirement; illustratively, the first execution requirement indicates that the order needs to be executed first, which can be to adjust the execution order in the order set of the same business object, or to reassign another business object for processing;

[0119] Step S312: Set the satisfaction threshold M to satisfy S0-SD(a)| t＝wt<M is set as the second discrimination condition, where S0 represents the initial satisfaction of the first concerned order, SD(a) represents the satisfaction decay of the ath order in the first concerned order set, and it is determined that the first concerned order that meets the second discrimination condition has a second execution requirement; illustratively, the second execution requirement indicates that the order has a risk of insufficient satisfaction during execution, and the order satisfaction needs to be improved, and the execution of the business object to which the order currently belongs has a risk, and another business object needs to be assigned again for processing;

[0120] Step S32: Filter the enterprise resources based on the data center, obtain a list of business objects that do not have the first concerned order in the current order set, mark them as a set of business objects to be selected, and add the business object to the set of business objects to be selected for the first concerned order that only meets the first discrimination condition; analyze the receiving capacity value of the set of business objects to be selected, and specifically calculate it by the following formula:

[0121]

[0122] Wherein, NL(i) represents the receiving capacity value of the i-th business object for the a-th first-concern order; w∈[0,ni], ni represents the total number of unfinished orders in the order set of the i-th business object; represents a conditional discrimination function, which is used to determine whether the unfinished orders in the order set of the i-th business object meet the first discrimination condition; zt w Indicates the preset completion time of the wth unfinished order in the order set of the i-th business object, DO w-1 represents the average time it takes for the i-th business object to complete an order, w a Indicates the estimated completion time of the first order after it is inserted into the order collection of the i-th business object; hour, when hour,

[0123] Step S33: Determine whether the business objects with receiving capability values ​​greater than 1 meet the receiving conditions of the first concerned order, report the business objects that meet the receiving conditions of the first concerned order, sort them according to the size of the receiving capability values, and generate a corresponding business object list, recorded as list_i, list_i = {YW j |j∈[1,J]}; where YW j represents the jth business object in the business object list of the i-th first concerned order, and J represents the total number of business objects in the business system.

[0124] Step S4: According to the corresponding business object list of each first concerned order, issue a prompt about the allocation of the first concerned order to the J business objects in list_i, wait for the business object to respond for r time, report the ID corresponding to the business object that first receives the first concerned order, obtain the order set of the business object, insert the first concerned order and output the final business object order set; update the relevant data of the first concerned order based on the data middle platform, and push the updated relevant data of the first concerned order to the management personnel and relevant business objects for confirmation.

[0125] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0126] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An interactive intelligent analysis management method based on a data center, characterized in that: The method comprises the following steps: Step S1: Track the order status of the business system, collect the full life cycle data of each order in the business system and upload it to the data center; Step S2: Based on the data center, the full life cycle data of each order in the business system is processed, the satisfaction decay of each order is calculated, and the first concerned orders are extracted according to the satisfaction decay of each order to generate a first concerned order set; Step S3: Analyze the requirements of each order according to the first set of orders of interest, screen enterprise resources based on the data center, mark the business objects that meet the first set of orders of interest, and generate a corresponding business object list; Step S4: sending a distribution prompt of the first concerned order to each business object according to the business object list, and managing the business system based on the data middle platform according to the selection of each business object; The step S4 specifically comprises the following steps: Step S41: according to the corresponding business object list of each first concerned order, issue a distribution prompt about the first concerned order to J business objects in list_i, wait for the business object to respond for r time, and report the ID corresponding to the business object that first receives the first concerned order; Step S42: If there is a business object in r that receives the first order of interest, obtain the order set of the business object, insert the first order of interest into and output the final business object order set; update the relevant data of the first order of interest based on the data middle platform, and push the updated relevant data of the first order of interest to the management personnel and relevant business objects for confirmation.

2. According to claim 1, an interactive intelligent analysis management method based on a data middle station is characterized in that: In step S1, according to the order status conversion rules and trigger conditions of the business system, the full life cycle data of the current numbered orders are collected, the order set of each business object in the unit period is collected, and each order in the order set is sorted according to the allocation time, which is recorded as YD = {d k |k∈[1,n]}; where d k represents the kth order in the order set, and n represents the total number of orders in the order set; The order status of each order in the order set is marked, and the order status includes a pending allocation status, an unfinished status, and a completed status.

3. According to claim 1, an interactive intelligent analysis management method based on a data middle station is characterized in that: The step S2 specifically includes the following steps: Step S21: Access the historical order execution records uploaded by each business object in the business system, extract the order allocation time and order completion time of each business object, and the customer satisfaction score according to the historical order execution records; calculate the satisfaction decay rate of any business object in a unit period according to the following formula: in, represents the average satisfaction of any business object in the Tth unit period, s i represents the customer satisfaction score of the i-th order completed by any business object within a unit period; I T Indicates the total number of orders completed by any business object in the Tth unit period; represents the overall mean of customer satisfaction ratings; t|T represents the average time of all orders in the Tth unit period from the time the order is placed; It represents the average time of all orders from the time the order is placed; Step S22: Calculate the satisfaction decay rate corresponding to the historical unit period of each business object through the historical order execution records, and obtain the satisfaction decay rate sample; The satisfactory decay rate model f(λ) is constructed according to the following formula: Among them, μ is the preset attenuation expected value, σ 2 is the variance; Step S23: extract the order set of each business object in the unit period, and calculate the satisfaction decay of the unfinished orders in the order set according to the following formula: Among them, SD(w) represents the satisfaction decay of the wth unfinished order in the order set, represents the satisfactory decay rate function, express Following the distribution of the satisfaction decay rate model, t represents the time from the time the wth order is placed; Calculate the satisfaction decay of the unfinished orders in the order set of each business object within the unit period. If the satisfaction decay of an order is greater than a threshold, the order is determined to be a first-focus order. Extract all first-focus orders to generate a first-focus order set, denoted as FG = {g a |a∈[0,A]}; where g a represents the ath order in the first focused order set, and A represents the total number of orders in the first focused order set.

4. According to claim 1, an interactive intelligent analysis management method based on a data middle station is characterized in that: The step S3 specifically comprises the following steps: Step S31: for any first-watched order in the first-watched order set, collect the preset completion time zt of the current first-watched order in the business object to which it belongs, collect the ranking p of the current first-watched order in the unfinished orders of the business object to which it belongs, and obtain the average time DO taken to complete orders of the business object to which the current first-watched order belongs; The order demand analysis includes the following steps: Step S311: Calculate the estimated execution waiting time wt=t+p×DO of any first concerned order, set wt+DO>zt as the first judgment condition, and determine that the first concerned order that meets the first judgment condition has the first execution demand; Step S312: Set the satisfaction threshold M to satisfy S0-SD(a)| t＝wt <M is set as the second discrimination condition, where S0 represents the initial satisfaction of the first concerned order, SD(a) represents the satisfaction decay of the ath order in the first concerned order set, and it is determined that the first concerned order that meets the second discrimination condition has a second execution demand; Step S32: Filter the enterprise resources based on the data center, obtain a list of business objects that do not have the first concerned order in the current order set, mark them as a set of business objects to be selected, and add the business object to the set of business objects to be selected for the first concerned order that only meets the first discrimination condition; analyze the receiving capacity value of the set of business objects to be selected, and specifically calculate it by the following formula: Wherein, NL(i) represents the receiving capacity value of the i-th business object for the a-th first-concern order; w∈[0,ni], ni represents the total number of unfinished orders in the order set of the i-th business object; represents a conditional discrimination function, which is used to determine whether the unfinished orders in the order set of the i-th business object meet the first discrimination condition; ztw represents the preset completion time of the w-th unfinished order in the order set of the i-th business object, DOw-1 represents the average time taken by the i-th business object to complete the order, and wa represents the estimated completion time after the first concerned order is inserted into the order set of the i-th business object; when hour, when hour, Step S33: Determine whether the business objects with receiving capability values ​​greater than 1 meet the receiving conditions of the first concerned order, report the business objects that meet the receiving conditions of the first concerned order, sort them according to the size of the receiving capability values, and generate a corresponding business object list, recorded as list_i, list_i = {YW j |j∈[1, J]}; wherein YWj represents the jth business object in the business object list of the i-th first concerned order, and J represents the total number of business objects in the business system.

5. An interactive intelligent analysis and management system based on a data center, characterized in that: include: Business tracking module, data center, data processing module, data analysis module and business management module; The business tracking module is used to track the order status of the business system, collect the full life cycle data of each order in the business system and upload it to the data center; The data center is used to clean the uploaded data, perform data analysis tasks according to business needs, and provide a data service interface; The data processing module processes the full life cycle data of each order in the business system based on the data middle platform, calculates the satisfaction decay of each order, extracts the first concerned order according to the satisfaction decay of each order, and generates a first concerned order set; The data analysis module is used to analyze the requirements of each order according to the first set of concerned orders, screen enterprise resources based on the data center, mark the business objects that meet the first set of concerned orders, and generate a corresponding business object list; The business management module is used to send a distribution prompt of the first concerned order to each business object according to the business object list, and manage the business system based on the data middle platform according to the selection of each business object; The service management module includes a service resource allocation unit and a data update unit; The business resource allocation unit issues allocation prompts about the first concerned order to J business objects in list_i according to the corresponding business object list of each first concerned order, waits for the business object to respond for r time, and reports the ID corresponding to the business object that first receives the first concerned order; The data updating unit is used to manage the business object receiving the first concerned order in r, obtain the order set of the business object receiving the first concerned order, insert the first concerned order into the final business object order set and output; Based on the data middle platform, the relevant data of the first concerned order is updated, and the updated relevant data of the first concerned order is pushed to the management personnel and relevant business objects for confirmation.

6. The interactive intelligent analysis and management system based on the data middle platform according to claim 5 is characterized by: The business tracking module includes a business data acquisition unit and a business data integration unit; The business data acquisition unit collects the full life cycle data of each current numbered order and the order set of each business object within a unit period according to the order status conversion rules and trigger conditions of the business system; The business data integration unit is used to mark the status of each order in the order set, and the order status includes a to-be-allocated status, an unfinished status, and a completed status.

7. The interactive intelligent analysis and management system based on the data middle platform according to claim 5 is characterized by: The data processing module includes an interactive data extraction unit and an interactive data processing unit; The interactive data extraction unit is used to access the historical order execution records uploaded by each business object in the business system, and extract the order allocation time and order completion time of each business object and the customer satisfaction score according to the historical order execution records; The satisfaction decay rate of any business object in a unit period is calculated according to the following formula: in, represents the average satisfaction of any business object in the Tth unit period, si represents the customer satisfaction score of the i-th order completed by any business object in the unit period; IT represents the total number of orders completed by any business object in the Tth unit period; represents the overall mean of customer satisfaction ratings; t|T represents the average time of all orders in the Tth unit period from the time the order is placed; It represents the average time of all orders from the time the order is placed; The interactive data processing unit calculates the satisfaction decay rate corresponding to the historical unit period of each business object through the historical order execution records, and obtains the satisfaction decay rate samples; constructs a satisfaction decay rate model according to the satisfaction decay rate samples, and calculates the satisfaction decay of the unfinished orders in the order set of each business object within the unit period based on the satisfaction decay rate model; if the satisfaction decay of the order is greater than a threshold, the order is determined to be a first attention order, all the first attention orders are extracted, and a first attention order set is generated, which is recorded as FG={gaa∈[0,A]}; wherein ga represents the ath order in the first attention order set, and A represents the total number of orders in the first attention order set.

8. The interactive intelligent analysis and management system based on the data middle platform according to claim 5 is characterized by: The data analysis module includes an order demand analysis unit and a business data analysis unit; The order demand analysis unit is used to collect the preset completion time zt of the current first concerned order in the business object to which it belongs, collect the ranking p of the current first concerned order in the uncompleted orders of the business object to which it belongs, and obtain the average time DO taken to complete the order of the business object to which the current first concerned order belongs; Specifically, the order demand analysis includes the following steps: Step S311: Calculate the estimated execution waiting time wt=t+p×DO of any first order of interest, set wt+DO>zt as the first judgment condition, and determine that the first order of interest that meets the first judgment condition has a first execution demand; Step S312: Setting a satisfaction threshold M, and setting the satisfaction of S0-SD(a)t=wt<M as the second discrimination condition, where S0 represents the initial satisfaction of the first concerned order, SD(a) represents the satisfaction decay of the ath order in the first concerned order set, and determining that the first concerned order that meets the second discrimination condition has a second execution demand; The business data analysis unit screens the enterprise resources based on the data center, obtains a list of business objects in the current order set that do not contain the first concerned order, marks them as a set of business objects to be selected, and adds the business object to the set of business objects to be selected for the first concerned order that only meets the first discrimination condition; analyzes the receiving capacity value of the set of business objects to be selected, and specifically calculates it by the following formula: Wherein, NL(i) represents the receiving capacity value of the i-th business object for the a-th first-concern order; w∈[0,ni], ni represents the total number of unfinished orders in the order set of the i-th business object; represents a conditional discrimination function, which is used to determine whether the unfinished orders in the order set of the i-th business object meet the first discrimination condition; zt w Indicates the preset completion time of the wth unfinished order in the order set of the i-th business object, DO w-1 represents the average time it takes for the i-th business object to complete an order, w a Indicates the estimated completion time of the first order after it is inserted into the order collection of the i-th business object; hour, when hour, Determine whether the business object with a receiving capability value greater than 1 satisfies the receiving condition of the first concerned order, report the business objects that meet the receiving condition of the first concerned order, sort them according to the receiving capability value, and generate a corresponding business object list, recorded as list_i, list_i={YW j |j∈[1,J]}; where YW j represents the jth business object in the business object list of the i-th first concerned order, and J represents the total number of business objects in the business system.

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