Information processing device and information processing method

Abstract

This invention provides an information processing device and an information processing method that use target information related to the target organization to provide information on the business impact of the target organization resulting from said target information. [Solution] In an information processing system in which an information processing device 1, a generation unit 200 which may be provided outside the information processing device, and a plurality of terminals 100 can communicate, the information processing device 1 includes a receiving unit 20 that receives a Key Risk Indicator (KRI), which is an important risk indicator, a scenario story in a target organization that includes signals that are the cause of the KRI, and target information that includes internal or external organizational information, an input unit 70 that inputs instruction information using the scenario story and target information received by the receiving unit 20 to the generation unit 200, and an acquisition unit 10 that obtains an evaluation of the management impact on the target organization obtained from the generation unit 200 based on the scenario story and target information.

Description

Technical Field

[0001] The present invention relates to an information processing apparatus and an information processing method that provide an evaluation regarding the management impact on a target organization.

Background Art

[0002] In recent years, the use of AI such as generative AI has been actively carried out. For example, in Patent Document 1, an attempt has been made to provide a mechanism for assisting in the creation of a document for evaluating the business performance of an operator by using generative AI.

[0003] The information processing system proposed in Patent Document 1 is an information processing system that assists in the creation of a document for evaluating the business performance of an operator, and includes a first reception means for receiving the designation of an operator, a generative AI for instructing to output input information for input items of a document for evaluating the business performance for the designated operator, a first acquisition means for acquiring the output input information, a generative AI for instructing to output a question sentence for acquiring the lacking information from the designated operator for the acquired input information, a second acquisition means for acquiring the output question sentence, and a first output means for outputting the acquired question sentence.

Prior Art Documents

Patent Documents

[0004]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0005] The present invention provides a management impact in a target organization caused by the target information by using the target information related to the target organization.

Means for Solving the Problems

[0006] [Concept 1] The information processing apparatus according to the present invention is A reception desk that receives target information related to the target organization, including key risk indicators (KRIs) and signals that cause KRIs, and a scenario story for the target organization. An input unit inputs instruction information using the scenario story and target information received by the reception unit into the generation unit. An acquisition unit obtains from the generation unit an evaluation of the business impact on the target organization based on the scenario story and the target information, It may be provided.

[0007] [Concept 2] The information processing apparatus according to the present invention is A reception desk that receives target information related to the target organization, including key risk indicators (KRIs) and signals that cause KRIs, and a scenario story for the target organization. A processing unit that uses the scenario story and target information received by the reception unit to evaluate the business impact on the target organization, Equipped with, The processing unit may include one or more of the following: a signal identification unit that identifies information corresponding to a signal from the target information using the scenario story; a KRI identification unit that identifies a KRI from the signal identified using the scenario story and the target information; and a business impact evaluation unit that evaluates the business impact using the KRI identified using the scenario story and the target information.

[0008] [Concept 3] In an information processing device based on Concept 2, The aforementioned processing unit, A signal identification unit identifies information corresponding to a signal from the target information using the aforementioned scenario story, A KRI identification unit identifies the KRI from the signal identified by the signal identification unit, A business impact evaluation unit that evaluates the business impact using the KRIs identified by the aforementioned KRI identification unit, It may have.

[0009] [Concept 4] In an information processing device based on any one of concepts 1 to 3, The aforementioned scenario story may include signals, scenarios associated with the signals, and KRIs associated with the scenarios.

[0010] [Concept 5] In an information processing device based on Concept 4, The aforementioned scenario story may represent the signals, scenarios, and KRIs as a tree or graph structure.

[0011] [Concept 6] In an information processing device based on any one of concepts 1 to 5, The aforementioned target information may include first-hand information, which is updated daily.

[0012] [Concept 7] In an information processing device based on any one of concepts 1 to 5, The aforementioned target information may include first information, which is daily updated information, and second information, which is historical information.

[0013] [Concept 8] In an information processing device based on Concept 7, A first search unit that automatically searches for the aforementioned first information, The system may also include a second search unit that automatically searches for the aforementioned second information.

[0014] [Concept 9] The information processing method according to the present invention is The reception department has a process for receiving scenario stories for the target organization, including key risk indicators (KRIs) and signals that cause the KRIs, as well as relevant information about the target organization. The input unit inputs the scenario story and instruction information using the target information received by the reception unit into the generation unit. A step of obtaining, by an acquisition unit, an evaluation of the business impact on the target organization obtained from the generation unit based on the scenario story and the target information. It may be provided.

[0015] [Concept 10] The information processing method according to the present invention is A step of receiving, by a reception unit, a scenario story in a target organization including a KRI, which is an important risk indicator, and a signal that is the cause of the KRI, and target information related to the target organization. A step of evaluating, by a processing unit, the business impact on the target organization using the scenario story and the target information received by the reception unit. It includes The processing unit may have any one or more of a signal identification unit that identifies information corresponding to a signal from the target information using the scenario story, a KRI identification unit that identifies a KRI from the signal identified using the scenario story and the target information, and a business impact evaluation unit that evaluates a business impact using the KRI identified using the scenario story and the target information.

Effect of the Invention

[0016] According to the present invention, it is possible to provide a business impact in a target organization caused by the target information by using the target information related to the target organization.

Brief Description of the Drawings

[0017] [Figure 1] A schematic block diagram showing an example of an information processing system according to an embodiment of the present invention. [Figure 2] A schematic block diagram showing another example of an information processing system according to an embodiment of the present invention. [Figure 3] A diagram showing an example of a scenario story having a tree structure in which a KRI, which is an important risk indicator, and a signal that is the cause of the KRI are associated via a scenario, provided in an embodiment of the present invention. [Figure 4] This figure shows an example of a scenario story consisting of a graph structure that associates KRIs, which are key risk indicators, and signals that are the causes of KRIs, through a scenario, as provided in an embodiment of the present invention. [Figure 5] This figure shows an example of a scenario story consisting of a tree structure that directly associates a key risk indicator (KRI) with the signal that causes the KRI, as provided in an embodiment of the present invention. [Figure 6] A diagram illustrating the flow of information in an embodiment of the present invention, in which a generated scenario story is used to evaluate the business impact on a target organization. [Figure 7] This figure illustrates another example, different from Figure 6, of an embodiment of the present invention that uses a generated scenario story to evaluate the business impact in a target organization. [Figure 8A] A diagram illustrating an example of the process for determining important articles when evaluating business impact, as provided in an embodiment of the present invention. [Figure 8B] A diagram showing an embodiment of the present invention that lists the signal, title, summary, URL, and site name of important articles in a tabular format. [Figure 9] A figure showing an example of a method for generating a risk report in an embodiment of the present invention. [Figure 10] A schematic block diagram showing yet another example of an information processing system according to an embodiment of the present invention. [Modes for carrying out the invention]

[0018] Embodiment The information processing apparatus of this embodiment may consist of one device or multiple devices. In this embodiment, an information processing method using the information processing apparatus, a program installed to generate the information processing apparatus, and a storage medium such as a USB or DVD storing the program are also provided. In this application, "or" is a concept that includes "and," and "A or B" is a concept that includes A, B, and A and B.

[0019] The information processing device may be installed in any location, may be a server, or may be used in a cloud environment. The information processing device may consist of one device or multiple devices. Furthermore, if the information processing device consists of multiple devices, each device does not need to be located in the same room or space, but may be located in different rooms, different buildings, different regions, etc. Also, if the information processing device consists of multiple devices, one organization may own and / or manage some of them, and another organization may own and / or manage the rest.

[0020] The information processing device of this embodiment is generated, for example, by installing a program. The program according to this embodiment is used to generate the information processing device described below, and the recording medium according to this embodiment is used to record the program. Furthermore, the information processing method of this embodiment is performed by the information processing device on which the above program is installed.

[0021] As shown in Figures 1 and 2, the information processing device 1 may be able to communicate with multiple terminals 100. Terminals 100 include personal computers, smartphones, tablet devices, smartwatches, smart glasses, and other wearable computers. Terminal 100 may have an operation unit 120 for user input and a display unit 110 for displaying information. In smartphones and tablet devices, the operation display unit will have the functions of both the operation unit 120 and the display unit 110. The terminals 100 in this embodiment include a user terminal operated by a user receiving services provided by the information processing device 1 and an administrator terminal operated by an administrator.

[0022] The information processing device 1 may include a receiving unit 20 that receives target organization information and trend information, an input unit 70 that inputs instruction information using the target organization information and trend information received by the receiving unit 20 to a generation unit 200, an acquisition unit 10 that acquires KRIs, which are key risk indicators, and signals that are the causes of the KRIs, from the generation unit 200 based on the target organization information and trend information, an output unit 90 that outputs a scenario story associating the KRIs and signals, and a storage unit 80 that stores various information. By adopting such an embodiment, a scenario story that reflects the target organization information and trend information can be provided to users, etc. The target organizations include various organizations such as companies, government agencies, and local governments.

[0023] In this application, "KRI" is an abbreviation for "Key Risk Indicator." The method of inputting target organization information and trend information and outputting a scenario story will be explained below using Figures 3 to 5. Trend information includes information such as global trends and global events, and is typically newspaper reports, news, etc. Target organization information is information about the organization being investigated, and includes the target organization's securities report (in the case of a company), financial statements and budget information, risk maps for the target organization and the region and products / services under its jurisdiction, information on the target organization's homepage, articles dealing with the target organization and the region and products / services under its jurisdiction, etc. The information output by the output unit 90 will be displayed on terminal 100, etc.

[0024] The information processing device 1 may have a generation unit, but the generation unit 200 may be provided outside the information processing device 1. In the case where the generation unit 200 is provided outside, for example, a generation AI such as ChatGPT may be used as the generation unit 200.

[0025] The acquisition unit 10 may acquire a scenario story from the generation unit 200 that includes signals, scenarios associated with the signals, and KRIs associated with the scenarios. The output unit 90 may output the scenario story acquired by the acquisition unit 10, which includes signals, scenarios associated with the signals, and KRIs associated with the scenarios. When this configuration is adopted, not only KRIs, which are key risk indicators, and signals that cause the KRIs, but also information about the stories that connect these KRIs and signals can be provided to the user. In this case, the instruction information input to the generation unit 200 may be an instruction to acquire the causative signals, the scenarios associated with the signals, and the KRIs (key risk indicators) associated with the scenarios, using target organization information and trend information.

[0026] The instruction information may be a prompt, for example, instructing the system to obtain signals and KRIs (Key Risk Indicators) associated with those signals, using target organization information and trend information. For example, the instruction information could be something like this: "Generate a scenario story showing the KRIs (Key Risk Indicators), the signals (the causes of the KRIs), and the relationship between the KRIs and the signals. If it is possible to directly associate the KRIs with the signals, you may do so directly without using a scenario. For the scenario story, generate the signals, scenarios, and KRIs in a tree structure. Refer to "●●●" as an example of a tree structure. For the scenario, consider aspects such as "■■■." "●●●" is an example of generating signals, scenarios, and KRIs in a tree structure, and using such an example can improve the accuracy of the response from the generation unit 200. Using instruction information that specifically presents a scenario, such as "■■■," can be expected to generate a highly accurate scenario story from the generation unit 200.

[0027] The tidal flow information may be obtained by the search units 30 and 32 automatically searching websites, the memory unit 80, etc., or the user may input the searched tidal flow information from the terminal 100. By inputting target organization information, it may be possible to generate scenario stories for each target organization. The search units 30 and 32 may also have a first search unit 30 and a second search unit 32, which will be described later.

[0028] In this embodiment, the description will primarily use a configuration in which the scenario story generation unit 200 generates the scenario story, but it is not limited to this. As shown in Figure 10, the information processing device 1 may have a scenario story generation unit 59, and the scenario story generation unit 59 may generate the scenario story. The scenario story generation unit 59 may use a scenario story generation model generated by machine learning using past target organization information and past trend information. Specifically, (1) past target organization information and past news articles, daily reports, and other trend information may be used as input information for the learning data, and (2) machine learning may be performed using KRIs, which are key risk indicators identified by experts for the target organization information and trend information, signals that are the causes of the KRIs, and scenarios that associate the KRIs with the signals, to generate a scenario story generation model. In the configuration shown in Figure 10, the generation unit 200 may perform some functions of the scenario story generation unit 59 or the processing unit 50 described later.

[0029] Users may be able to access services from the information processing device 1 by logging in from terminal 100 using user identification information such as a user ID and a password. User identification information may be linked to a target organization, and when a user logs in using the user identification information, the information of the target organization linked to the user identification information may be automatically read from the storage unit 80, etc., and used as target organization information.

[0030] The reception unit 20 may receive information input from the terminal 100, or it may read predetermined information from the storage unit 80 and accept it.

[0031] Instructional information, such as prompts, may be read from the storage unit 80 by the input unit 70 according to the corresponding situation (stage). For example, in the stage of generating a scenario story, the input unit 70 may read instructional information for generating the scenario story and input it to the generation unit 200. Also, as will be described later, in the stage of evaluating the business impact using the scenario story, the input unit 70 may read instructional information for obtaining the business impact evaluation and input it to the generation unit 200.

[0032] The acquisition unit 10 may acquire signals, scenarios, and KRIs from the generation unit 200 as a tree structure or graph structure. The acquired tree structure or graph structure may be output to the terminal 100 by the output unit 90 and displayed on the terminal 100. Adopting this configuration is beneficial because it allows the relationship between signals, scenarios, and KRIs to be provided to the user using a tree structure or graph structure. Providing the user with a scenario story using a tree structure or graph structure in this way is extremely beneficial because it allows the user to visually (intuitively) understand the KRIs, which are key risk indicators in the target organization, the signals that cause them, and the scenarios that relate the KRIs to the signals.

[0033] In this application, "tree structure" refers to a structure in which a signal that is the cause is connected to a scenario, a scenario to another scenario (in this case, one scenario causes another), and a signal or scenario to a KRI (in this case, a signal or scenario causes a KRI), as shown in Figure 3. From the perspective of a KRI, for example, the KRI branches out into one or more scenarios or signals, and a scenario branches out into one or more other scenarios or signals.

[0034] The "graph structure" in this application differs from the "tree structure" in that scenarios can be connected bidirectionally, as shown in Figure 4, but is otherwise the same as the "tree structure". More specifically, while signals can be the cause of scenarios and scenarios can be the cause of KRIs, as in the "tree structure", this structure also allows one scenario to be the cause of another scenario, and vice versa.

[0035] As shown in Figure 5, signals may be directly linked to KRIs. For example, a major earthquake could serve as a signal, and as a result, KRIs (Key Risk Indicators) could be shown without going through a scenario.

[0036] When a scenario story including signals, scenarios, and KRIs, which consist of a tree structure or graph structure, is displayed on terminal 100, the relationships between signals, scenarios, and KRIs may be displayed on terminal 100 in different ways depending on the magnitude of the impact. For example, when the impact is large, the relationships between signals, scenarios, and KRIs may be shown with relatively thick lines, and when the impact is small, the relationships between signals, scenarios, and KRIs may be shown with relatively thin lines (see Figure 4), so that the user can easily confirm the magnitude of the impact.

[0037] The reception unit 20 may accept modifications to the scenario or signal acquired by the acquisition unit 10. In this case, the input unit 70 may input the modified scenario or signal to the generation unit 200, and the acquisition unit 10 may acquire the signal, the scenario associated with the signal, and the KRI associated with the scenario from the generation unit 200, which were obtained by inputting the modified scenario or signal. Modifications may be made by the user via the terminal 100. The scenario story ultimately stored in the storage unit 80 may be the scenario story generated by the generation unit 200 or the scenario story modified by the user. Modifications input from the terminal 100 may be made by the user themselves, or by the consultant after discussions between the user and the consultant.

[0038] For example, after a scenario story including a signal, a scenario associated with the signal, and a KRI associated with the scenario is acquired by the acquisition unit 10, the user modifies the scenario or signal from the terminal 100. Typically, the user modifies the scenario or signal output from the generation unit 200 to the scenario or signal they believe to be correct. Once the scenario or signal is modified in this way, the input unit 70 inputs the signal, the modified scenario or signal associated with the signal, and the KRI associated with the scenario, along with instruction information such as prompts, to the generation unit 200, and the acquisition unit 10 acquires the signal, the scenario associated with the signal, and the KRI associated with the scenario that are newly generated using the modified scenario. The instruction information in this case may be, for example, "You generated a scenario story like "●●●●" as a scenario showing the relationship between the causal signal, the resulting KRI (Key Risk Indicator), and the relationship between the two, but I have modified "Scenario A" to "Scenario A'" as "●●●●●", so please generate a scenario story again as a scenario showing the relationship between the KRI, which is the key risk indicator, the signal that is the cause of the KRI, and the relationship between the KRI and the signal." For the scenario story, you can use something like, "Generate the signal, scenario, and KRI as a tree structure." "●●●●" is the scenario story created once, and "●●●●●" is the scenario story after modifying "Scenario A" to "Scenario A'".

[0039] Adopting a method that allows for modifications to scenarios or signals in this way is beneficial because it enables the generation of scenario stories that conform to the user's intuition, rules of thumb, etc., and thus allows for the generation of more accurate scenario stories.

[0040] Furthermore, instead of allowing users to modify scenarios or signals, they may be allowed to modify KRIs. Alternatively, users may be allowed to modify scenarios, signals, and KRIs individually. In this case as well, it is beneficial because it allows for the generation of scenario stories that are based on the user's intuition, rules of thumb, etc., and thus enables the generation of more accurate scenario stories.

[0041] The scenario stories output from the generation unit 200 are stored in the storage unit 80. Such scenario stories can be used, for example, to evaluate the impact of daily information on business operations (see Figure 6). In this embodiment, the method of evaluating business impact using scenario stories is described, but the embodiment is not limited to this method. There is a need to understand the scenario stories themselves, and this need can be met when adopting the method of generating scenario stories as described above.

[0042] The following describes a method of using scenario stories to evaluate, for example, the impact of daily information on business operations.

[0043] The receiving unit 20 of the information processing device 1 may read and accept from the storage unit 80 the KRI, which is a key risk indicator, a scenario story for the target organization that includes the signals that cause the KRI, and target information that includes internal or external organizational information. The input unit 70 may input instruction information using the scenario story and target information of the target organization received by the receiving unit 20 to the generation unit 200. The acquisition unit 10 may acquire from the generation unit 200 an evaluation of the management impact on the target organization based on the scenario story and target information. This embodiment is shown in Figure 2, and is an embodiment in which the generation unit 200, which is not included in the information processing device 1, performs the functions of the processing unit 50 described later.

[0044] In another embodiment, as shown in Figure 1, the information processing device 1 may have a processing unit 50 that evaluates the business impact on the target organization using the scenario story and target information received by the reception unit 20. The processing unit 50 may have a signal identification unit 51 that identifies information corresponding to a signal from the target information, including internal or external organizational information, using the scenario story of the target organization read from the storage unit 80; a KRI identification unit 52 that identifies KRI from the signals identified by the signal identification unit 51; and a business impact evaluation unit 54 that evaluates the business impact using the KRI identified by the KRI identification unit 52.

[0045] In this era of unpredictable change, companies are required to make "rapid" and "flexible" management decisions and judgments. By adopting this approach, it is possible to easily and quickly evaluate the business impact based on the target information. In particular, it is useful in that by using a scenario story to identify information corresponding to signals from the target information, it is possible to identify signals that affect KRIs in line with the scenario story. Typically, the business impact will be evaluated using multiple KRIs. KRIs are, for example, risk factors in a specific department (risk factors in procurement, business relationships, etc.), and the business impact evaluation is an evaluation of the impact on management of the entire target organization. In the business impact evaluation, it is also possible to include a website that shows the basis for the evaluation.

[0046] The target information may include primary information, which is updated information obtained daily. Examples of external information include news and newspaper reports, while examples of internal information include daily reports (branch daily reports). If this approach is adopted, a scenario-based management impact assessment can be automatically performed from daily news articles and daily reports. Robolisa (https: / / www.mri.co.jp / service / robot-research.html), provided by the applicant, may be used to collect news articles. The target information may also include secondary information, which is historical information.

[0047] A first search unit 30 that automatically searches for first information that is updated daily, and a second search unit 32 that automatically searches for second information, which is past information, may be provided. The first search unit 30 may search for information stored in the memory unit 80 for internal organizational information and use the web to search for external organizational information. The second search unit 32 may search for past internal and external organizational information from the second information stored in the memory unit 80. The second search unit 32 may also use the web to search for past external organizational information. Providing such search units 30 and 32 is beneficial because it can automatically extract the latest and past information. The first search unit 30 may access a pre-specified website and search for articles on that website. The number of pre-specified websites may be around 100 to 500. The pre-specified websites may be entered by the user or consultant from the terminal 100. User identification information may be linked to pre-specified websites or internal organizational information, and when a user logs in using their user identification information, the pre-specified websites or internal organizational information may be automatically searched by the first search unit 30.

[0048] The signal identification unit 51 may identify signals that could cause a KRI from both external information such as news and newspaper reports, and internal information such as daily reports. Once signals are identified in this way, the KRI identification unit 52 identifies the KRI by following the scenario story stored in the memory unit 80, that is, following the path of signal → story → KRI or signal → KRI. Once the KRI is identified based on the information that is updated daily, the business impact evaluation unit 54 may use the KRI to evaluate the business impact.

[0049] The signal identification unit 51, the KRI identification unit 52, and the management impact assessment unit 54 may use a model generated by machine learning using the target organization's scenario story and past target information. Specifically, with respect to the signal identification model used in the signal identification unit 51, (1) the target organization's scenario story and target information such as past news articles and daily reports may be used as input information for the learning data, and (2) machine learning may be performed using the signals identified by experts from the target information using the scenario story as output information for the learning data to generate a signal identification model. With respect to the KRI identification model used in the KRI identification unit 52, (1) the signals extracted from the target organization's scenario story and target information such as news articles and daily reports may be used as input information for the learning data, and (2) machine learning may be performed using the KRI identified by experts from the scenario story and the signals as output information for the learning data to generate a KRI identification model. Regarding the business impact evaluation model used in the business impact evaluation unit 54, (1) Key Results Indicators (KRIs) may be used as input information for the training data, and (2) the business impact resulting from the KRIs identified by experts may be used as output information for the training data, and machine learning may be performed to generate the model.

[0050] The business impact evaluation model may be a mathematical model, and in addition to the KRI index value, other business indicator data (sales, operating profit, cash flow information, etc.) may be used as explanatory variables to measure business impact.

[0051] As described above, the functions of the processing unit 50 may be performed by a generation unit 200 that is not included in the information processing device 1. In this case, some or all of the functions of the signal identification unit 51, KRI identification unit 52, and management impact evaluation unit 54 included in the processing unit 50 may be performed by the generation unit 200 (see Figure 2). If some of the functions of the signal identification unit 51, KRI identification unit 52, and management impact evaluation unit 54 included in the processing unit 50 are performed by the generation unit 200, the processing unit 50 may have one of the following: a signal identification unit 51 that identifies information corresponding to a signal from target information using the target organization's scenario story; a KRI identification unit 52 that identifies KRI from the signals identified using the target organization's scenario story and target information; and a management impact evaluation unit 54 that evaluates the management impact using the KRI identified using the target organization's scenario story and the target information. The functions of the signal identification unit 51, KRI identification unit 52, and management impact evaluation unit 54 that the processing unit 50 does not have may be performed by the generation unit 200.

[0052] When the generation unit 200 executes the function of the signal identification unit, the input unit 70 may input the first information, the target organization's scenario story, and instruction information consisting of prompts, etc., to the generation unit 200, and the acquisition unit 10 may acquire the signals included in the first information. In this case, the instruction information may be something like, "There is a scenario story such as "●●●●" which shows the relationship between the causal signal, the resulting KRI (Key Risk Indicator). The information acquired today is "▲▲▲▲"..."▼▼▼▼", please identify the information that corresponds to the signal in the above scenario story from these "▲▲▲▲"..."▼▼▼▼"."

[0053] When the generation unit 200 executes the functions of the KRI identification unit, the input unit 70 may input the signal identified from the first information, the scenario story of the target organization, and instruction information consisting of prompts, etc., to the generation unit 200, and the acquisition unit 10 may acquire the KRI from the identified signal. In this case, the instruction information may be something like, "There is a scenario story such as "●●●●" which shows the association between the causal signal, the resulting KRI (Key Risk Indicator), and the two. The signal "■■"....."◇◇" was identified as information acquired today. Please identify the KRI based on the identified "■■"....."◇◇" as the cause." If the same signal as the one included in the scenario story is identified, the KRI linked in the scenario story will basically be derived from that signal.

[0054] When the generation unit 200 performs the functions of the business impact assessment unit, the input unit 70 may input instruction information consisting of identified KRIs, primary information, a scenario story of the target organization, and prompts to the generation unit 200, and the business impact may be obtained from the generation unit 200. An example of instruction information that can be used is: "There is a scenario story such as "●●●●" which shows the relationship between causal signals, resulting KRIs (Key Risk Indicators), and the relationship between the two. As information obtained today, signals such as "■■"....." and "◇◇" were identified, and from these, KRIs such as "☆☆"....." and "★★" were identified. Please evaluate the business impact from these KRIs "☆☆"......"

[0055] The business impact evaluation unit 54 may evaluate the business impact using the KRIs identified by the KRI identification unit 52 and second information, which includes past internal or external organizational information. Past internal organizational information may include, for example, past daily reports. Past external organizational information may include past news articles. When this approach is adopted, the business impact can be evaluated by considering past information in addition to information that is updated daily, thereby improving the accuracy of the evaluation. When using second information, which is past information, the process is the same as when using first information; the signal identification unit 51 may identify signals included in the second information, and the KRI identification unit 52 may identify KRIs derived from those signals. In this case, the business impact evaluation unit 54 may evaluate the business impact using both the KRIs identified from first information and the KRIs identified from second information. Second information is not limited to past information and may include initiatives of the target organization that have been continuously carried out from the past to the present.

[0056] In this embodiment, when using a pre-prepared model (see Figure 1), the signal identification model used in the signal identification unit 51 may be generated by performing machine learning using (1) the target organization's scenario story, current and past internal and external organizational information, etc. as input information for the training data, and (2) the signals included in the current and past internal and external organizational information, etc. identified by experts as output information for the training data. The KRI identification model used in the KRI identification unit 52 may be generated by performing machine learning using (1) the target organization's scenario story, current and past internal and external organizational information, etc. as input information for the training data, and (2) the KRIs identified by experts as output information for the training data.

[0057] When using an external generation unit 200 (see Figure 2), the input unit 70 may input the identified KRIs, current and past internal and external organizational information, a scenario story, and instruction information consisting of prompts, etc., to the generation unit 200, and obtain the business impact from the generation unit 200. An example of instruction information that can be used is: "There is a scenario story such as "●●●●" which shows the relationship between causal signals, resulting KRIs (Key Risk Indicators). From the information obtained today, the signals "■■"····"◇◇" were identified, and from these, the KRIs "☆☆"···"★★" were identified. In addition, from past information, the signals "■■■"····"◇◇◇" were identified, and from these, the KRIs "☆☆☆"···"★★★" were identified. Please evaluate the business impact from these KRIs "☆☆"···"★★" and "☆☆☆"···"★★★"."

[0058] When divided into layers, signals represent "understanding the macro environment" (first layer), scenarios represent "understanding changes in the business environment" (second layer), and KRIs and management impact represent "understanding the impact on corporate management" (third layer) (see Figure 7). As shown in Figure 7, scenarios may be identified from multiple signals, and a qualitative evaluation of each scenario may be performed. An impact assessment on the target organization (e.g., an individual company) may be performed based on the scenarios. As a result, multiple KRIs may be identified. Once KRIs are identified in this way, a qualitative evaluation of the management impact may be performed based on those KRIs. A quantitative evaluation of the management impact may be performed using the qualitative evaluation of the management impact. When performing a quantitative evaluation of the management impact, a simulation model stored in the memory unit 80 may be used. As an example of a management impact evaluation, content such as "increased risk in orange procurement from Argentina" may be shown, as shown in Figure 7.

[0059] The qualitative evaluation of the scenarios shown in the second layer of Figure 7 and the assessment of their impact on the target organization (e.g., an individual company) may be performed by the user who receives the output, or by the user and a consultant. Alternatively, the KRI identification unit 52 may acquire the data using a KRI identification model generated by machine learning and stored in the memory unit 80. The input unit 70 may input the acquired information to the generation unit 200 along with instruction information such as prompts, and the acquisition unit 10 may acquire the data. When using instruction information such as prompts, instructions to perform a qualitative evaluation of the scenarios and an assessment of their impact on the target organization (e.g., an individual company) should be incorporated into the instruction information.

[0060] The same applies to the quantitative evaluation of business impact shown in the third layer of Figure 7. This can be performed by the user who receives the output, or by the user and consultant together, or it can be acquired using a business impact evaluation model generated by machine learning and stored in the memory unit 80 by the business impact evaluation unit 54, or the acquired information can be acquired by the acquisition unit 10 when the input unit 70 inputs the acquired information along with instruction information such as prompts to the generation unit 200. When using instruction information such as prompts, instructions to perform the business impact evaluation qualitatively and quantitatively should be incorporated into the instruction information.

[0061] The primary information, which is updated daily, may be stored in the memory unit 80 and made available later as secondary information. The past information stored in the memory unit 80 may be limited to a predetermined period; for example, it may be stored in periods of one year, two years, etc., and information thereafter may be deleted as appropriate.

[0062] The business impact evaluation unit 54 may evaluate the business impact after evaluating the KRI impact using the KRIs identified by the KRI identification unit 52. In this case, the business impact evaluation unit 54 may first evaluate multiple KRI impacts and then evaluate the business impact by combining the evaluations of the multiple KRI impacts obtained.

[0063] When the generation unit 200 also functions as the business impact evaluation unit, the generation unit 200 may first evaluate the impacts of multiple KRIs, and then the evaluations of the multiple KRI impacts obtained by the generation unit 200 may be combined to evaluate the business impact. An example of instruction information is: "There is a scenario story such as "●●●●" which shows the relationship between the causal signal, the resulting KRI (Key Risk Indicator). From the information acquired today, the signal "■■"....."◇◇" was identified, and from these, the KRI "☆☆"....."★★" was identified. In addition, from past information, the signal "■■■"....."◇◇◇" was identified, and from these, the KRI "☆☆☆"....."★★★" was identified. From these KRIs "☆☆"....."★★" and "☆☆☆"....."★★★", please pick out several factors that are caused by KRIs that affect business." The input unit 70 may input the following to the generation unit 200: " ". Afterwards, using the multiple "factors attributable to KRIs that affect management" acquired by the acquisition unit 10, the input unit 70 may input the following as an example of instruction information to the generation unit 200: "As described above, multiple "factors attributable to KRIs that affect management" have been identified. Please use these "factors attributable to KRIs that affect management" to evaluate the impact on management in the target organization." This allows the acquisition unit 10 to acquire the management impact evaluation.

[0064] If the signal identification unit 51 determines that a new signal is included in the first information which is updated daily, an update unit 40 may be provided to update the scenario story stored in the memory unit 80 using the new signal (see Figures 1 and 2). If this configuration is adopted, signals that cause KRIs can be extracted from the first information which is updated daily, and a scenario story can be regenerated based on new trend information and new target organization information. This is beneficial because it allows for the evaluation of, for example, business impact using the latest scenario story. If the generation unit 200 also functions as a signal identification unit (see Figure 2), an example of instruction information may be: "There is a scenario story such as "●●●●" which shows the relationship between the causal signal, the resulting KRI (Key Risk Indicator). The information acquired today is "▲▲▲▲"..."▼▼▼▼", please identify the information corresponding to the signal in the above scenario story from these "▲▲▲▲"..."▼▼▼▼"." The input unit 70 may input to the generation unit 200, "If any new signals that cause the resulting KRI (Key Risk Indicator) are found in the information obtained today, please identify these signals and update the scenario story to incorporate them." In this case, the newly identified signals and the scenario story using these signals may be updated by the update unit 40 and stored in the storage unit 80.

[0065] The memory unit 80 may store the content of articles previously judged to be important by AI or experts as metadata (data about data) of signals that cause KRI. The signal identification unit 51 may identify signals by determining articles similar to articles previously judged to be important as important articles.

[0066] Figure 8A shows an example of the process for determining whether an article is important when evaluating its business impact. The process for determining whether an article is important may also include the following steps. (1) Reorganization of the event of interest and signal (S1 in Figure 8A) The relationship between the event of interest and the signal may be examined in detail. If the relationship between the event of interest and the signal has already been examined in detail, the relationship may be examined again. (2) Investigation and identification of information sources (S2 in Figure 8A) You may also investigate and identify websites that contain information about the events or signals of interest. (3) Important article determination by the generation unit 200 (S10 and S11 in Figure 8A) Multiple identified websites may be listed in the prompt, and the generation unit 200 may be instructed to identify the website containing content corresponding to the signal. In this case, multiple websites may be listed, and the prompt may instruct the user to identify the website containing content corresponding to the signal. (4) Creating a list of important articles (S12 in Figure 8A) The websites identified by the generation unit 200 may be listed. (5) Review of the list of important articles and revision of prompts (S15 and S16 in Figure 8A) The website listed through the above process may be reviewed by the user and / or consultant, and the prompt description may be revised accordingly.

[0067] In creating a list of important articles, important articles may be listed in a table format such as Excel, along with information such as title, summary, and URL. The listed information may include content similar to that shown in Figure 8B and be displayed on terminal 100.

[0068] A risk report can also be generated following the flow shown in Figure 9. A specific example of this flow is as follows: (1) Risk identification (Step 1 in Figure 9) Risks of concern to the target organization may be extracted from business risks, etc., described in securities reports, etc. In this case, scenario stories generated for the target organization may also be used. (2) Scenario generation (Step 2 in Figure 9) You may generate scenarios leading to the "risks of concern" created in Step 1, based on news articles and other sources. At this time, you may also generate hypotheses that form the basis of these scenarios. (3) Create a mini-report (Step 3 in Figure 9) You may also generate a mini-report using information from the target organization's official website and other website data, along with the scenario generated in Step 2. (4) Prepare a risk report A risk report may be generated from the scenarios for the "risks of concern" in Step 1 and the mini-report generated in Step 3. This risk report may include a business impact assessment. The risk report may also include supporting websites.

[0069] The acquisition unit 10, reception unit 20, first search unit 30, second search unit 32, input unit 70, signal identification unit 51, KRI identification unit 52, management impact evaluation unit 54, etc. shown in Figure 1 may be implemented by a single unit (control unit) or by different units. Functions from multiple "units" may be integrated. Furthermore, the acquisition unit 10, reception unit 20, first search unit 30, second search unit 32, input unit 70, signal identification unit 51, KRI identification unit 52, management impact evaluation unit 54, etc. may be implemented by a circuit configuration. The information processing device 1 has a processor, and the processor executes a program to realize various functions of the information processing device 1 of this embodiment, including the acquisition unit 10, reception unit 20, first search unit 30, second search unit 32, input unit 70, signal identification unit 51, KRI identification unit 52, management impact evaluation unit 54, etc.

[0070] The above-described embodiments and the disclosure of drawings are merely examples for illustrating the invention described in the claims, and the above-described embodiments or the disclosure of drawings do not limit the invention described in the claims.

[0071] Figures 3, 4, 6, 7, and 9 are presented under the assumption that the target organizations consist of companies (corporations), but these are merely examples. As mentioned above, the target organizations include not only companies (corporations) but also various other organizations such as government agencies and local authorities. [Explanation of Symbols]

[0072] 1. Information Processing Device 10 Acquisition Department 20 Reception Department 30 First Search Department 32 Second Search Section 50 Processing Unit 51 Signal Identification Unit 52 KRI Specific Department 54. Department of Management Impact Assessment 70 Input section 80 Storage section 90 Output section 100 devices 200 Generation part

Claims

1. A search unit that searches for target information related to the target organization, A scenario story read from a memory unit, which includes KRIs (Key Risk Indicators) and signals that cause KRIs, and a receiving unit that receives the target information retrieved by the search unit. An input unit inputs instruction information, which uses the scenario story and target information received by the reception unit, to the generation unit for obtaining a qualitative evaluation of the business impact. An acquisition unit obtains a qualitative assessment of the business impact on the target organization based on the scenario story and the target information from the generation unit, The terminal's display unit includes an output unit that displays a qualitative evaluation of the business impact and a scenario story that expresses the signals, scenarios, and KRI as a tree structure or graph structure. An information processing device equipped with the following features.

2. A search unit that searches for target information related to the target organization, A scenario story read from a memory unit, which includes KRIs (Key Risk Indicators) and signals that cause KRIs, and a receiving unit that receives the target information retrieved by the search unit. A signal identification unit identifies information corresponding to a signal by applying the target information retrieved by the search unit to a signal identification model generated by machine learning using a training scenario story and training target information, and evaluation signals for these training scenario stories and training target information. An input unit inputs instruction information into a generation unit, which is instruction information for obtaining an evaluation of the business impact, using the scenario story received by the reception unit and the signals identified by the signal identification unit. An acquisition unit that acquires an evaluation of the business impact on the target organization based on the scenario story and the signals from the generation unit, An information processing device equipped with the following features.

3. A search unit that searches for target information related to the target organization, A scenario story read from a memory unit, which includes KRIs (Key Risk Indicators) and signals that cause KRIs, and a receiving unit that receives the target information retrieved by the search unit. A signal identification unit identifies information corresponding to a signal by applying the target information retrieved by the search unit to a signal identification model generated by machine learning using a training scenario story and training target information, and evaluation signals for these training scenario stories and training target information. A KRI identification unit identifies KRI by applying the signals identified by the signal identification unit to a KRI identification model generated by machine learning using a learning scenario story and learning signals, and an evaluation KRI for these learning scenario stories and learning signals. An input unit inputs instruction information into a generation unit, which is instruction information for obtaining an evaluation of the business impact, using the scenario story received by the reception unit and the KRI identified by the KRI identification unit, An acquisition unit that acquires an evaluation of the management impact on the target organization based on the scenario story and the KRI from the generation unit, An information processing device equipped with the following features.

4. A search unit that searches for target information related to the target organization, A scenario story read from a memory unit, which includes KRIs (Key Risk Indicators) and signals that cause KRIs, and a receiving unit that receives the target information retrieved by the search unit. A signal identification unit identifies information corresponding to a signal by applying the target information retrieved by the search unit to a signal identification model generated by machine learning using a training scenario story and training target information, and evaluation signals for these training scenario stories and training target information. A KRI identification unit identifies KRI by applying the signals identified by the signal identification unit to a KRI identification model generated by machine learning using a learning scenario story and learning signals, and an evaluation KRI for these learning scenario stories and learning signals. A business impact evaluation unit evaluates the business impact by applying the KRI identified by the KRI identification unit to a business impact evaluation model generated by machine learning using training KRIs and the evaluation business impact resulting from the training KRIs, An information processing device equipped with the following features.

5. The information processing apparatus according to any one of claims 2 to 4, wherein the scenario story includes a signal, a scenario associated with the signal, and a KRI associated with the scenario.

6. The information processing apparatus according to claim 5, wherein the scenario story represents the signal, scenario, and KRI as a tree structure or graph structure.

7. The information processing apparatus according to any one of claims 1 to 4, wherein the aforementioned target information includes first information which is daily updated information.

8. The information processing apparatus according to any one of claims 1 to 4, wherein the target information includes first information which is daily updated information and second information which is past information.

9. The information processing apparatus according to claim 8, wherein the search unit comprises a first search unit for searching the first information and a second search unit for searching the second information.

10. The search unit performs the process of searching for target information related to the target organization, The process involves receiving a scenario story read from the memory unit by the reception unit, which includes a scenario story for the target organization that includes KRIs, which are important risk indicators, and signals that are the causes of KRIs, and the target information retrieved by the search unit. The input unit inputs instruction information, which uses the scenario story and target information received by the reception unit, to the generation unit for obtaining a qualitative evaluation of the business impact. The acquisition unit performs the step of acquiring a qualitative assessment of the management impact on the target organization obtained from the generation unit based on the scenario story and the target information, The output unit performs the step of displaying a qualitative evaluation of the business impact and a scenario story in which signals, scenarios, and KRI are represented as a tree structure or graph structure on the terminal's display unit. An information processing method comprising the following:

11. The search unit performs the process of searching for target information related to the target organization, The process involves receiving a scenario story read from the memory unit by the reception unit, which includes a scenario story for the target organization that includes KRIs, which are important risk indicators, and signals that are the causes of KRIs, and the target information retrieved by the search unit. The process involves a signal identification unit applying the target information retrieved by the search unit to a signal identification model generated by machine learning using the training scenario story and training target information, and evaluation signals for these training scenario story and training target information, thereby identifying information corresponding to a signal. The input unit inputs instruction information to the generation unit, which is instruction information for obtaining an evaluation of the business impact, using the scenario story received by the reception unit and the signals identified by the signal identification unit. The acquisition unit acquires from the generation unit an evaluation of the business impact on the target organization based on the scenario story and the signals, An information processing method comprising:

12. The search unit performs the process of searching for target information related to the target organization, The process involves receiving a scenario story read from the memory unit by the reception unit, which includes a scenario story for the target organization that includes KRIs, which are important risk indicators, and signals that are the causes of KRIs, and the target information retrieved by the search unit. The process involves a signal identification unit applying the target information retrieved by the search unit to a signal identification model generated by machine learning using the training scenario story and training target information, and evaluation signals for these training scenario story and training target information, thereby identifying information corresponding to a signal. The process involves applying the signals identified by the signal identification unit to a KRI identification model generated by machine learning using a learning scenario story and learning signals, and evaluation KRIs applied to these learning scenario stories and learning signals, thereby identifying the KRI. The input unit inputs instruction information, which uses the scenario story received by the reception unit and the KRI identified by the KRI identification unit, to the generation unit, for obtaining an evaluation of the business impact. The acquisition unit performs the step of acquiring from the generation unit an evaluation of the management impact on the target organization obtained based on the scenario story and the KRI, An information processing method comprising:

13. The search unit performs the process of searching for target information related to the target organization, The process involves receiving a scenario story read from the memory unit by the reception unit, which includes a scenario story for the target organization that includes KRIs, which are important risk indicators, and signals that are the causes of KRIs, and the target information retrieved by the search unit. The process involves a signal identification unit applying the target information retrieved by the search unit to a signal identification model generated by machine learning using the training scenario story and training target information, and evaluation signals for these training scenario story and training target information, thereby identifying information corresponding to a signal. The process involves applying the signals identified by the signal identification unit to a KRI identification model generated by machine learning using a learning scenario story and learning signals, and evaluation KRIs applied to these learning scenario stories and learning signals, thereby identifying the KRI. The process involves evaluating the business impact by applying the KRI identified by the KRI Identification Unit to a business impact evaluation model generated by machine learning using the training KRI and the evaluated business impact resulting from the training KRI, performed by the Business Impact Evaluation Unit. An information processing method comprising:

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