CN110717646A - Method and system for realizing bank demand post-evaluation - Google Patents
Method and system for realizing bank demand post-evaluation Download PDFInfo
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Abstract
The invention provides a method for realizing bank demand post-evaluation, which collects benefit data, user experience data, quality data and demand consultation data of bank demands; setting the weight of the data to generate a radar map; when the bank demand of realizing required development, according to the radar map that the keyword inquiry corresponds, later adjust the bank demand that will realize according to the radar map to realize, and realize revealing the risk in advance, give the later stage and refer to when realizing the bank demand, promote bank demand overall level.
Description
Technical Field
The invention relates to a method and a system for realizing bank demand post-evaluation.
Background
Under the impact of the popular financial development strategy and the rapid development of the internet, how a bank serves as a main force of the traditional financial industry to keep the original market share becomes a great challenge, and meanwhile, the bank is also a great opportunity for self transformation development. In the face of challenges and opportunities, meeting diversified and changeable market demands, user demands and the like as soon as possible becomes a key competitive power that banks are not superior and inferior. For a bank system under a multi-legal person or general branch mode, the demand source is wider, the personalized characteristics are relatively outstanding, the capacity of responding to market change from the global or overall perspective is relatively weaker, the demand after production is not finished, and the operation inspection in production is an important index for stage effect and subsequent evolution of the demand; the existing technical scheme is that after the demand is put into production, the demand is not concerned any more, bank risk early warning cannot be given, and the demand cannot keep pace with the era, so that the demand is eliminated, and the reusability is too low.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a method and a system for realizing bank demand post-evaluation, which are used for disclosing risks in advance, giving references for realizing bank demands in the later period and improving the overall level of bank demands.
One of the present invention is realized by: a method for realizing bank demand post-evaluation comprises the following steps:
step 1, collecting benefit data, user experience data, quality data and demand consultation data of bank demands;
step 2, setting the weight of the data to generate a radar map;
and 3, when the bank requirements required to be developed are realized, inquiring the corresponding radar map according to the keywords, and then adjusting the bank requirements to be realized according to the radar map and realizing the adjustment.
Further, the benefit data sets a benefit value of the benefit obtained according to the set time dimension.
Further, the user experience data is: and periodically acquiring the click frequency of the use function of the user and the operation steps of successful service transaction, taking the average number of the operation steps, comparing the average number with a set standard index, and setting an evaluation value.
Furthermore, the quality data is a quality value set according to deviation conditions, demand change times, the number of question lists and the number of audit questions.
Furthermore, the demand consulting data sets the demand value according to the consulting frequency and the complaint frequency.
The second invention is realized by the following steps: an implementation system for bank demand post-evaluation comprises:
the collection module collects benefit data, user experience data, quality data and demand consultation data of bank demands;
the generating module is used for setting the weight of the data and generating a radar map;
and the implementation module is used for inquiring the corresponding radar map according to the keywords when the bank requirements to be developed are realized, and then adjusting the bank requirements to be realized according to the radar map and implementing the bank requirements.
Further, the benefit data sets a benefit value of the benefit obtained according to the set time dimension.
Further, the user experience data is: and periodically acquiring the click frequency of the use function of the user and the operation steps of successful service transaction, taking the average number of the operation steps, comparing the average number with a set standard index, and setting an evaluation value.
Furthermore, the quality data is a quality value set according to deviation conditions, demand change times, the number of question lists and the number of audit questions.
Furthermore, the demand consulting data sets the demand value according to the consulting frequency and the complaint frequency.
The invention has the following advantages: according to the method and the system for realizing bank demand post-evaluation, after demand delivery, the contents of demand change conditions, production problem conditions, benefits and the like are examined by taking demand items as a unit, a demand multidimensional evaluation system is realized, meanwhile, the evaluation results continuously enrich the item attributes, and automatic risk early warning is realized for subsequent demand optimization and analysis.
Drawings
The invention will be further described with reference to the following examples with reference to the accompanying drawings.
FIG. 1 is a flow chart of the method of the present invention.
FIG. 2 is a schematic representation of a post-demand evaluation of an embodiment of the present invention.
FIG. 3 is a diagram illustrating association between requirement entries, requirement changes, and problem handling according to an embodiment of the present invention.
FIG. 4 is a radar chart of the demand property of the embodiment of the present invention.
FIG. 5 is a schematic scoring diagram of an embodiment of the present invention.
Detailed Description
As shown in fig. 1, the method for implementing bank demand post-evaluation of the present invention includes:
step 1, collecting benefit data, user experience data, quality data and demand consultation data of bank demands;
step 2, setting the weight of the data to generate a radar map;
and 3, when the bank requirements required to be developed are realized, inquiring the corresponding radar map according to the keywords, and then adjusting the bank requirements to be realized according to the radar map and realizing the adjustment.
The benefit data sets a benefit value of the profit obtained according to a set time dimension, and the user experience data is as follows: the method comprises the steps of obtaining the click frequency of the use function of a user and the successful operation of service handling regularly, taking the average number of the operation steps, comparing the average number with a set standard index, and setting an evaluation value, wherein the quality data sets the quality value according to the deviation condition, the number of times of demand change, the number of problem sheets and the number of audit problems, and the demand consultation data sets the demand value according to the number of times of consultation and the number of times of complaints.
The invention relates to a system for realizing bank demand post-evaluation, which comprises:
the collection module collects benefit data, user experience data, quality data and demand consultation data of bank demands;
the generating module is used for setting the weight of the data and generating a radar map;
and the implementation module is used for inquiring the corresponding radar map according to the keywords when the bank requirements to be developed are realized, and then adjusting the bank requirements to be realized according to the radar map and implementing the bank requirements.
The benefit data sets a benefit value of the profit obtained according to a set time dimension, and the user experience data is as follows: the method comprises the steps of obtaining the click frequency of the use function of a user and the successful operation of service handling regularly, taking the average number of the operation steps, comparing the average number with a set standard index, and setting an evaluation value, wherein the quality data sets the quality value according to the deviation condition, the number of times of demand change, the number of problem sheets and the number of audit problems, and the demand consultation data sets the demand value according to the number of times of consultation and the number of times of complaints.
One specific embodiment of the present invention:
the demand after the production is not finished, and the operation inspection in the production is an important index for the stage effect and the subsequent evolution of the demand. Therefore, the method takes demand post-evaluation as an idea, and establishes a related evaluation model method from the aspects of benefit, cost, quality, user experience and the like so as to reflect the final effect of the overall demand and realize demand early warning. A demand post-evaluation module is newly added in the demand management system, benefits, user experience, quality and demand consultation conditions are used as classification dimensions, and post-evaluation management of demand item levels is achieved. Any one of the selected dimensions can check the evaluation contents corresponding to all the requirement items related to the dimension, and meanwhile, one requirement item can be selected to check the evaluation conditions such as the benefits, the user experience and the like related to the requirement item (as shown in fig. 2). In view of the difference in the fields of interest in the above four dimensions, the requirements are mainly classified into product-type requirements and system-type requirements, and the specific weights of the corresponding dimensions are as shown in table 1.
TABLE 1 evaluation dimension ratios of product class requirements to system class requirements
For four benefits, a project index value statistical scoring mode is adopted, for example, a plurality of sub-terms are arranged below a benefit major term, different proportions of each sub-term are different, scores of the sub-terms are multiplied by the proportions to summarize scores of different major terms, and then the final demand evaluation value is calculated by multiplying the scores of the major terms by the proportions of the major terms. In calculating the sub-item scores, the corresponding index values are calculated in a way of uncertainty scoring and corresponding system synchronization, and added, as shown in fig. 5.
The sub-item statistics of the specific application system realized by the requirements are calculated by utilizing the synchronous data of the data warehouse, so that the operation of the normal application system is not influenced.
1. And (5) benefit aspects. For the product demand, the economic benefit brought by the operation is an important assessment content. And such benefits are mainly considered in terms of application value and risk measures. Firstly, calculating data of a system corresponding to a newly added demand synchronized to a data warehouse, and calculating a plurality of application value index changes brought by the newly added demand; and then calculating the change of the risk indexes brought by the newly increased requirements by using the corresponding risk indexes of the risk monitoring system, and designing the overall economic benefit at the corresponding stage. For example, after the demand is realized, data in a data warehouse is automatically synchronized, personnel transacted by a bank credit card, credit amount of credit, actual credit amount of credit, repayment amount and the like are counted in detail according to time dimensions such as month, season, year and the like, then a risk monitoring system is used for calculating the number of overdue users and the overdue amount of credit, and then two key post-evaluation economic benefit indexes can be calculated in a gathering way, namely the active use reliability of the quarter newly-increased credit card is equal to the number of the quarter newly-increased credit card users for credit/season newly-increased credit card users, and the default of the quarter newly-increased credit card is equal to the default newly-increased credit card amount/default number. And synchronously feeding back the designed indexes subsequently if the index data is correspondingly updated in different time nodes, so as to realize dynamic acquisition and updating.
2. By usingAnd in the aspect of user experience, related feedback mainly aiming at system class requirements is provided. For example, analysis of the client behavior model by using a front-end system such as a mobile banking, internet banking or e-commerce platform (for App, obtaining different directory use data and different region click conditions of a corresponding page, and for web page, obtaining different directory use conditions)The data information of the click frequency of the user using the system function, the operation steps of successful service transaction and the like is regularly acquired, the related average is taken and is planned to be the standard index A (for example, the minimum operation times of successful transaction is less than 3, the operation times of functional integrity is more than 5 and the like) of the field, and the index attribute falls into the corresponding requirement item attribute in the requirement management system. If the monitored data meet the index value A, the experience is determined to be high, namely the requirement is fully utilized in practical application; if the index value a is satisfied, the experience is low, and the demand does not sufficiently exert its effect. The information is communicated with the requirement management platform periodically and is automatically updated in the corresponding requirement item attribute.
3. And the quality aspect is mainly started from the quality of the requirement writing and the quality of the requirement realization. And in the aspect of requirement writing, firstly, the completed requirement actual application condition is utilized for checking. Taking the system type requirement as an example, the data of the click frequency is compared with the use frequency in the requirement writing, the step condition of successful business handling is compared with the usability and the like in the non-functional requirement to check the quality of the requirement writing, and the larger the deviation between the two is, the worse the required quality is. And secondly, monitoring the quality of the product from the perspective of a demand realization process by using demand change. After the requirement items are formed, item dimension management of requirement change is further realized, and a multidimensional management visual angle among the requirement items, the requirement list, the requirement change and the question list is established (see fig. 3). The item information of the requirement management platform and the requirement change of the project management platform are used as data sources, information such as the quantity of requirement items associated with the change order is counted from the perspective of the requirement change, and the quantity of the corresponding requirement change order can be clearly displayed from the perspective of the requirement items. The quality measure of the demand items is mainly based on the quantity of the associated demand change lists, and the greater the quantity, the poorer the quality or the higher the risk. In terms of quality, the demand is more focused on the production problem list and audit situation consideration generated by the demand. The association between the requirement items and the question lists can be obtained through the method shown in fig. 3, and when the number of the question lists corresponding to the requirement items is more, the requirement quality is worse.The above tests compare the variance, the number of changes to the demand, and the number of problem tickets, and two of them are high, the quality of the demand item is considered to be worse. Only one high is of medium quality. If the number of the items is small or low, the items are high-quality demand items. (see Table 2)At the same time, the requirement item and auditing system are rectified and improved The association between the problems shows that the quality of the demand is high when the more the problem correction content corresponding to the auditing system corresponding to the demand item is The worse the amount.
TABLE 2 quality of demand metric
4. A need for consultation conditions. Combining different feedback channels of the demand (such as inline hotline and customer service hotline),automatic acquisition In customer service system and inline hot line systemThe consultation and complaint frequency conditions of the client on the bank products or the related services can reflect the feedback of the client on the actual use of the related requirements, and the data information is added to the related requirement attributes. The benefits, the user experience, the quality (relation between the requirement change and the production problem) and the requirement consultation condition are set to be four dimensions, different proportion requirements of product type/system type requirements are combined, and the requirement management platform is utilized to generate an attribute radar chart of each requirement item so as to visually display the evaluation result after the requirement is related. (fig. 4) the Fuli treasure intelligent financing is a traditional regular product of a bank, and realizes automatic rolling deposit of funds in a certain period unit for a client. Considering that the traditional product has fewer clients currently, the economic benefit brought by obtaining the current product is lower and is only 20.4 by combining the evaluation dimension proportion condition of the product type demand (as shown in table 1) and according to the related monitoring model; at present, convenient channels such as mobile banking and the like support clients to handle related services of the product, certain user experience is improved compared with the traditional bank branch counter handling, but due to the fact that the service handling is less, the product is displayed in the following drawingStill at a lower level; similarly, the demand consultations related to the product are not high, and the statistical percentage is only 20; the requirements of the product are changed and the problem list appears in a lower condition, and the requirements of the product are in a better level. Therefore, the engineering realization quality of the demand can be obtained by using the demand attribute radar map, but the benefit is low, and the realization necessity needs to be evaluated for subsequent similar demands.
5. And (5) demand risk early warning. The attribute of the demand item is continuously enriched by using a radar map, in the subsequent demand optimization analysis stage, the classification and attribution relation evaluated after demand and a keyword semantic similarity method are combined, and when a demand management platform carries out demand analysis work such as demand document creation, compiling and the like, a system can automatically match the corresponding demand item attribute and the data such as the quality risk, the user experience condition, the demand change, the consultation condition and the like attached to the demand item attribute through demand keyword searching. By setting key risk indexes, threshold values and prompts for each demand item, when the demand item is optimized at every time or similar demand contents are newly added, the risk early warning is automatically prompted for the current demand according to historical evaluation information of the related demands, the demand quality of the source is improved, and the phenomenon that follow-up reworking or similar problems occur to cause larger loss is avoided. For example, 1) for optimizing the above-mentioned richly-treasure intelligent financing, the demand analyst can decide whether demand needs to be optimized or not by judging that the economic benefit is low; 2) for core optimization requirements, a requirement analyzer is reminded to analyze whether the problems occurring in history are solved or not by judging more problems occurring in the quality of the current requirements; 3) for similar requirements (identical through a system or fuzzy matching of function names), key data such as consulting conditions and user experience of the similar requirements can be prompted, and the homogeneity problem processing during new product development is carried out.
Although specific embodiments of the invention have been described above, it will be understood by those skilled in the art that the specific embodiments described are illustrative only and are not limiting upon the scope of the invention, and that equivalent modifications and variations can be made by those skilled in the art without departing from the spirit of the invention, which is to be limited only by the appended claims.
Claims (10)
1. A bank demand post-evaluation realization method is characterized by comprising the following steps: the method comprises the following steps:
step 1, collecting benefit data, user experience data, quality data and demand consultation data of bank demands;
step 2, setting the weight of the data to generate a radar map;
and 3, when the bank requirements required to be developed are realized, inquiring the corresponding radar map according to the keywords, and then adjusting the bank requirements to be realized according to the radar map and realizing the adjustment.
2. The method for implementing bank demand post-evaluation as claimed in claim 1, wherein: and the benefit data sets a benefit value of the benefit obtained according to the set time dimension.
3. The method for implementing bank demand post-evaluation as claimed in claim 1, wherein: the user experience data is: and periodically acquiring the click frequency of the use function of the user and the operation steps of successful service transaction, taking the average number of the operation steps, comparing the average number with a set standard index, and setting an evaluation value.
4. The method for implementing bank demand post-evaluation as claimed in claim 1, wherein: the quality data is the quality value set according to deviation conditions, demand change times, the number of question lists and the number of audit questions.
5. The method for implementing bank demand post-evaluation as claimed in claim 1, wherein: the demand consulting data sets a demand value according to the consulting times and the complaint times.
6. A realization system for bank demand post-evaluation is characterized in that: the method comprises the following steps:
the collection module collects benefit data, user experience data, quality data and demand consultation data of bank demands;
the generating module is used for setting the weight of the data and generating a radar map;
and the implementation module is used for inquiring the corresponding radar map according to the keywords when the bank requirements to be developed are realized, and then adjusting the bank requirements to be realized according to the radar map and implementing the bank requirements.
7. The system for implementing bank demand post-evaluation as claimed in claim 6, wherein: and the benefit data sets a benefit value of the benefit obtained according to the set time dimension.
8. The system for implementing bank demand post-evaluation as claimed in claim 6, wherein: the user experience data is: and periodically acquiring the click frequency of the use function of the user and the operation steps of successful service transaction, taking the average number of the operation steps, comparing the average number with a set standard index, and setting an evaluation value.
9. The system for implementing bank demand post-evaluation as claimed in claim 6, wherein: the quality data is the quality value set according to deviation conditions, demand change times, the number of question lists and the number of audit questions.
10. The system for implementing bank demand post-evaluation as claimed in claim 6, wherein: the demand consulting data sets a demand value according to the consulting times and the complaint times.
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