JP2019082858A - Information analyzing device, program and method - Google Patents

Abstract

To provide an information analyzing system that utilizes intellectual property information for a corporate management.SOLUTION: An information analyzing device includes: an arithmetic processing unit that executes a predetermined process; a storage device connected to the arithmetic processing unit; and a communication interface connected to the arithmetic processing unit. The arithmetic processing device is capable of accessing a database that stores patent information, business trend, and market information each associated with time information, obtains data from the database in accordance with a search condition input by a user, arranges the pieces of obtained data along a time axis, and creates display data to display a screen on which the pieces of data each containing the patent information, the business trend, and the market information are arranged along the time axis.SELECTED DRAWING: Figure 8

Description

  The present invention relates to an information analysis device.

  Digitalization of AI (Artificial Intelligence), IoT (Internet of Things), etc. has progressed, and a time of great change has come in which the structure of economy, society and industry is rapidly changing. In the age of such drastic change in digital transformation, the importance of intellectual property in a broad sense, including data, is increasing, accelerating change (game change), and information has a major impact on competitiveness. .

  Therefore, there is a demand for providing information that contributes to management activities by utilizing information on intellectual property such as patent gazettes in corporate management. As background art of this technical field, there is the following prior art. Patent Document 1 (Japanese Patent Application Laid-Open No. 2008-203919) describes a patent map creation system that lists business trends, research and development trends, and intellectual property trends on a patent map.

JP 2008-203919A

  However, although the system described in the above-mentioned patent documents displays business trends, research and development trends and intellectual property trends on patent maps, market information is not taken into consideration and it is insufficient as information contributing to management activities. Met. Furthermore, since Patent Document 1 displays statistical data of all target companies, it is difficult to recognize information contributing to the management activities of the company or another company on a time axis, and to formulate a business strategy. Was not sufficient as information on In order to formulate a business strategy for each product in consideration of patent information and propose it to management, not only the patent application ratio and the number of papers presented and the product shipment ratio but also market information as shown in Patent Document 1 It is necessary to have an analysis tool that centrally manages various information such as business trends of the company and other companies, and organizes them in time series.

  The present invention proposes an information analysis system for utilizing intellectual property information such as patent gazettes for corporate management.

  The following is a representative example of the invention disclosed in the present application. That is, it comprises an arithmetic unit for executing a predetermined process, a storage device connected to the arithmetic unit, and a communication interface connected to the arithmetic unit, each of the arithmetic units being associated with time information A database storing patent information, business trends, and market information is accessible, data is acquired from the database according to a search condition input by a user, the acquired data is organized according to a time axis, and the patent information is The display data for displaying the screen in which the data including the business trend and the market information are organized according to the time axis is generated.

  According to one aspect of the present invention, data that directly contributes to management activities can be presented, enabling quick and accurate management decisions. Problems, configurations, and effects other than those described above will be clarified by the description of the following embodiments.

FIG. 1 is a diagram showing a configuration of an information analysis system of a first embodiment. It is a figure which shows the structural example of a business information database. It is a figure which shows the structural example of a sales information database. It is a figure which shows the structural example of a patent information database. It is a figure which shows the structural example of a market information database. It is a figure which shows the structural example of an external information database (news and release database). 5 is a flowchart of an information analysis process of the first embodiment. It is a figure which shows the example of the screen which the information analysis system of Example 1 outputs. It is a figure which shows the example of the screen which the information analysis system of Example 1 outputs. FIG. 7 is a diagram showing a configuration of an information analysis system of a second embodiment. 7 is a flowchart of predicted value evaluation processing of the second embodiment.

Example 1
FIG. 1 is a diagram showing the configuration of the information analysis system of the first embodiment.

  The information analysis system of this embodiment comprises an information analysis server 10 and a storage device 20. The information analysis server 10 is connected to the external server 30 and the client terminal 40.

  The information analysis server 10 is a computer having a CPU 11, a memory 12, an auxiliary storage device 13, and a communication interface 14.

  The CPU 11 is an arithmetic device that executes a program stored in the memory 12 and analyzes the collected information.

  The memory 12 includes a ROM, which is a non-volatile storage element, and a RAM, which is a volatile storage element. The ROM stores an immutable program (for example, BIOS). The RAM is a high-speed and volatile storage element such as a dynamic random access memory (DRAM), and temporarily stores a program executed by the CPU 11 and data used when the program is executed. Specifically, the memory 12 stores a search condition generation program 121, an information search program 122, a time series data generation program 123, a prediction program 124, a display data generation program 125, and a display data output program 126.

  The search condition generation program 121 is a program for creating a search query for searching a database in accordance with the condition input to the client terminal 40 by the user. The information search program 122 is a program for searching a database using the search query generated by the search condition generation program 121 and acquiring desired data. The time-series data generation program 123 is a program that arranges various data acquired from the database on a time axis. The prediction program 124 is a program that predicts future data from past data or predicts past data from current data. The prediction program 124 may perform regression analysis as described later, but may be configured by an AI (Artificial Intelligence) engine.

  The display data generation program 125 is a program for generating display data of the Time Line UI screen (see FIG. 8). The display data output program 126 is a program for outputting display data of the screen generated by the display data generation program 125 to the client terminal 40. For example, the display data generation program 125 generates html data for displaying the Time Line UI screen, and the display data output program 126 outputs the html data to the client terminal 40. The client terminal 40 operates the browser and displays the Time Line UI screen by the received html data.

  The auxiliary storage device 13 is constituted by, for example, a large-capacity non-volatile storage device such as a semiconductor storage device (SSD) including a magnetic storage device (HDD) and a flash memory, and stores a program executed by the CPU 11 . That is, the program is read from the auxiliary storage device 13, loaded into the memory 12, and executed by the CPU 11.

  The communication interface 14 is a communication interface device that controls communication with another device via a network according to a predetermined protocol.

  The information analysis server 10 may have an input interface and an output interface. The input interface is an interface to which a keyboard, a mouse or the like is connected and which receives an input from a user. The output interface is an interface to which a display device, a printer, and the like are connected and which outputs the execution result of the program in a format that can be viewed by the operator.

  The program executed by the CPU 11 is provided to the information analysis server 10 via a removable medium (CD-ROM, flash memory or the like) or a network, and is stored in the non-volatile auxiliary storage device 13 which is a non-temporary storage medium. Therefore, the information analysis server 10 may have an interface for reading data from removable media.

  The storage device 20 is a storage device connected to the information analysis server 10, and is, for example, a large-capacity and non-volatile storage device such as a semiconductor storage device (SSD) including a magnetic storage device (HDD) and a flash memory. Configured The storage device 20 stores a database holding data acquired by the information analysis server 10, specifically, a business information database 21, a patent information database 23, a sales information database 22, and a market information database 24. Also, the storage device 20 may store the external information database 25.

  The business information database 21 is a database that records business events of the company together with time information, the details of which will be described later with reference to FIG. The sales information database 22 is a database for recording information on sales of the company together with time information, the details of which will be described later with reference to FIG. The patent information database 23 is a database for storing patent information released by the Patent Office, and the details thereof will be described later with reference to FIG. The market information database 24 is a database for storing information on the market targeted by the product to be analyzed, the details of which will be described later with reference to FIG.

  In the information analysis system of this embodiment, various data used for analysis are stored in the storage device 20 connected to the information analysis server 10, but a storage device in the information analysis server 10 (for example, the auxiliary storage device 13) , And may be acquired from the external server 30 as needed on the fly. For example, data that does not change once published, such as patent information, may be acquired each time the information is published and stored in the storage device 20, but data updated as needed, such as news information, may be used as needed. It is good to acquire from the external server 30.

  Also, the storage device 20 may be an external storage device (for example, NAS) connected to a network.

  The external server 30 is a computer having a CPU, a memory, an auxiliary storage device, and a communication interface, and can be accessed from the information analysis server 10 via a public network such as the Internet. The external server 30 has an external information database 31 storing external information provided to the information analysis server 10 and the user. The external server 30 also has an API 32 for providing the external information stored in the external information database 31 in a predetermined procedure and format.

  The client terminal 40 is a computer (personal computer or tablet terminal) having a CPU, a memory, an auxiliary storage device, a communication interface, and a user interface. In the client terminal 40, a web browser or a dedicated application providing a user interface is operating.

  Next, a configuration example of each database will be described. Although the databases shown in FIG. 2 to FIG. 6 illustrate configuration examples of a table format, they may be data structures such as a list or a queue instead of the table format. Also, the contents of each database are shown as an example, and there are cases where the databases are not consistent or the data held by the databases and the display screen (FIG. 8) are not consistent.

  In step S201 described later, the search condition generation program 121 acquires data of the business area desired by the user. For this purpose, each database described later is provided for each business area, or data stored in the database is the business area It is good to associate with

  FIG. 2 is a view showing a configuration example of the business information database 21. As shown in FIG.

  The business information database 21 includes an occurrence time 401 and an event 402, and records its own business event together with time information. Information to be recorded in the business information database 21 can be acquired, for example, from a medium-term business plan, which is a medium- to long-term business plan. The occurrence time 401 is the date or period when the event occurs. The event 402 is an event (development of elemental technology, sales promotion activity, project kick-off, etc.) occurring in the business. The business information database 21 may include a business policy determined in the medium-term business plan and a business target which is a market in which business will be performed in the future. Although only business information of the company is illustrated as the business information database 21, business information of competitors may also be stored and displayed on the Time Line UI screen.

  FIG. 3 is a view showing a configuration example of the sales information database 22. As shown in FIG.

  The sales information database 22 includes a product development schedule 221 and financial information 222.

  The product development schedule 221 includes an occurrence time 411, a product type 412, and a process 413, and records its own product development schedule for each process (for example, planning, design, trial manufacture, evaluation, etc.). The occurrence time 411 is the date or period in which the work of each process of the product is performed. The product type 412 is a type of a product to be developed, and may be a general trade name (for example, a fully automatic washing machine) or a development code name. Step 413 is a step of product development such as planning, design, design examination, trial manufacture, and evaluation.

  The financial information 222 includes a period 421, a product type 422, a sales 423, a profit 424 and a profit rate 425, and records financial information on the product for each product and for each period. The financial information 222 may further include information such as unit price, profit per unit volume, and cost. Period 421 is a period in which the financial information of the row is applied to the product. The product type 422 is a type of product to be sold, and may be a product model number or a development code name. The sales 423, the profit 424 and the profit rate 425 are the sales amount, the profit amount and the profit rate of the product in the corresponding period, respectively.

  FIG. 4 is a view showing a configuration example of the patent information database 23. As shown in FIG.

  The patent information database 23 includes filing date 431, application number 432, title of invention 433 and applicant 434, and stores patent information published by the patent office. The patent information database 23 may store patent information including a specific field (patent classification) and a specific keyword without storing all the patent information. The patent information database 23 may include other bibliographic information (release date, inventor, etc.) of the illustrated information, and may further include text data such as a summary, a claim, a description, and image data of a drawing. . Also, the patent information database 23 may include information on published and registered patents in addition to information on published patents. Furthermore, in addition to the patent information issued by the patent office of a specific country, the patent information issued by the patent office of each country may be included. The range of patent information storage should be determined in consideration of the market and technical field of the product analyzed by the user.

  FIG. 5 is a view showing a configuration example of the market information database 24. As shown in FIG.

  The market information database 24 includes a period 441, a product type 442 and a market size 443 and stores information on the market targeted by the product to be analyzed. The market information database 24 may store, for example, analysis results by the economic analyst. A period 441 is a period in which market information of the row is applied to the product. The product type 442 is a type of product to be sold, and may be a general trade name or a development code name. The market size 443 is the size of the market targeted by the product.

  FIG. 6 is a diagram showing an example of the configuration of the news / release database in the external information database 31. As shown in FIG.

  The news and release database includes date 451 and content 452, and stores news provided by the press and released to the public, and news releases by companies. The news and release database may include information such as the publisher (the name of the company that issued the news) and the provider (the name of the news organization).

  The external server 30 includes not only those that provide news releases, but also those that provide articles, policy trends (administrative information such as press release materials of each ministries and agencies).

  The external information database 25 stored in the storage device 20 may have the same configuration as the external information database 31 illustrated. By storing the external information database 25 by the storage device 20, it is possible to capture frequently updated news and news release materials in which old information disappears in a short period of time, and analyze past information accurately.

  FIG. 7 is a flowchart of the information analysis process of the first embodiment.

  First, the search condition generation program 121 acquires data of the business area and stores it in various databases (S201). As the method of acquiring business area information, the search condition generation program 121 may collect data of a business area set in advance, or set the business area each time of analysis and set the data accumulation range to the database. The search conditions input in step S202 may be analyzed, business area search conditions may be generated, and data of related fields (business areas) may be collected.

  Next, the search condition generation program 121 creates a search query for searching the database in accordance with the condition input to the client terminal 40 by the user (S202).

  Then, the information search program 122 searches the database using the search query generated by the search condition generation program 121, and acquires desired data (S203).

  Thereafter, the time-series data generation program 123 arranges various data acquired from the database on a time axis to generate time-series data (S204). Specifically, in the time width designated by the user, the arrangement position on the time axis of the retrieved information is determined.

  Data organized in time series on the time axis is business information, sales information, patent information, market information, etc., and is accompanied by various time information in various formats. For this reason, it is necessary to convert various information into a format that can be displayed on the screen and to generate data for displaying the screen.

  Also, in general, the update timings of the data organized in time series on the time axis are different and have different time widths. For this reason, when the user organizes in time series in a desired period, data may be dropped in some sections on the time axis. Therefore, it is preferable to supplement the data of the missing period and display it on the screen. The complementation of this data is possible by the prediction program 124. As described later, the prediction program 124 has a function of predicting future data from past data, but in the same manner, it is possible to predict past data from held data. For example, patent information is updated weekly, but company sales information is updated monthly, while sales information of other companies is updated quarterly (two months later) as a quarterly report. Because of this, the timing of updating is different between the sales information of the company and the sales information of other companies, and it is not possible to compare the same period and the latest information. Therefore, it is preferable to predict sales information of other companies in unavailable periods, and arrange and display sales information with updated timing on the time axis. Thus, by arranging and displaying timely data on the time axis, it is possible to visually visualize the analysis result and present it to the user.

  The prediction program 124 predicts future data from past data (S205). The company's forecast values should be the ones listed in the business plan such as the medium-term business plan, but the plans of other companies can only obtain summary information that has been disclosed to shareholders etc. There is a need.

  For prediction of future data, it is preferable to fit past data using a plurality of regression equations, and to predict future data by adopting a regression equation having a high degree of agreement with the past data. As a regression equation, a linear regression equation using a linear function or a multiorder function, a nonlinear regression equation using an exponential function or a logarithmic function, or the like can be used. Then, it is preferable to select a residual calculated from estimated values calculated using a plurality of regression equations and actual values and a regression equation that minimizes the variation thereof.

  In addition to extrapolating past data of company A to predict future data, data of company A and data of company B may be used to predict data of company A in the future. For example, in the market where Company A and Company B are sharing, the new products of Company A that surpass the conventional products expand the market and increase sales of Company B's products, or the products of Company B from the market It may be destroyed and sales may decrease. Thus, by using data of other companies, it is possible to improve the prediction accuracy of data in the future.

  The prediction program 124 may be configured by an AI engine to predict future data from past data. Also in this case, in addition to the company data, data of other companies may be used as the past data.

  Thereafter, the display data generation program 125 generates data (for example, html data) for displaying the Time Line UI screen (see FIG. 8), and the display data output program 126 transmits the generated html data to the client terminal 40. It outputs to (S206).

  The client terminal 40 displays the html data (Time Line UI screen) transmitted from the information analysis server 10 by the web browser.

  When the dedicated application is operating on the client terminal 40, the information analysis server 10 transmits only data to be displayed on the Time Line UI screen, and the client application 40 receives the dedicated application from the information analysis server 10 The data may be used to generate a Time Line UI screen.

  FIG. 8 is a diagram showing an example of a Time Line UI screen that is output by the information analysis system of the first embodiment and displayed on the client terminal 40.

  The Time Line UI screen includes a business policy display area, a business target display area, a time axis, a business schedule display area, a development schedule display area, a market information display area, an own company business trend display area, and a patent information display area.

  The business policy display area displays the business policy recorded in the business information database 21. The business target display area displays the business target recorded in the business information database 21. In addition to the current business policy and business target, past business policy and business target may be displayed on the time axis. Also, the business policy and business target may be arbitrarily input by the user.

  The time axis is displayed according to the analysis target period input by the user. In the illustrated screen, markers indicating the current date and time and the current time are displayed, and past data and predicted future data are displayed so as to be easily distinguished.

  The business schedule display area displays events (development of elemental technology, sales promotion activities, project kickoff, etc.) recorded in the business information database 21 in accordance with a time axis.

  The development schedule display area is the development schedule for each product type and process stored in the product development schedule 221 of the sales information database 22 (that is, the work period for planning, design, trial manufacture, evaluation, etc. for each product). Display according to.

  The market information display area displays market information (for example, market size) stored in the market information database 24 in accordance with a time axis.

  The market information display area can display the profit and sales for each product in a bar graph, as well as the market size by a line graph. For this reason, a pull-down menu is provided to select an indicator displayed along with the market size.

  Also, in the market information display area, the unit period displayed in the graph can be changed to one year, half a year (June), quarter (March), January, etc. (one year in the figure). For this reason, a pull-down menu for selecting a unit period is provided.

  Further, the market information display area can display the difference (variation amount) with the previous period for each unit period, in addition to the actual value and the predicted value of the unit period (one year in the figure). For this reason, a pull-down menu is provided to select whether to display the actual result / predicted display or the change amount display. The state in which the amount of change is displayed will be described later with reference to FIG.

  Furthermore, the market information display area can select and display a product to be displayed. For this reason, a pull-down menu for selecting a product is provided. For example, since all products are selected on the Time Line UI screen shown in FIG. 8, all the four products to be analyzed (the actual value and the predicted value of the profit amount for each year) are displayed in a stacked bar graph. On the other hand, since the product DDD is selected on the Time Line UI screen shown in FIG. 9 described later, the product DDD (the amount of change in the amount of profit for each year) is displayed as a bar graph.

  The own company's business trend display area displays events of the other company recorded in the business information database 21 and the external information database 31 in accordance with the time axis.

  The patent information display area displays the patent information of the company and other companies recorded in the patent information database 23 in accordance with the time axis.

  In addition, in the patent information display area, the unit period for graph display can be changed to one year, half a year (June), quarter (March), January, etc. (one year in the figure). For this reason, a pull-down menu for selecting a unit period is provided.

  Further, the patent information display area can display the difference (change amount) with the previous period for each unit period, in addition to the actual value and the predicted value of the unit period (one year in the drawing). For this reason, a pull-down menu is provided to select whether to display the actual result / predicted display or the change amount display. The state in which the amount of change is displayed will be described later with reference to FIG.

  The patent information display area may display registered patent information in addition to the published patent information. For this reason, a pull-down menu for selecting the type of patent information to be displayed is provided.

  Furthermore, the patent information display area may be displayed based on any of the filing date, publication date, and patent registration date. For this reason, a pull-down menu is provided to select the days to be organized on the time axis.

  The details of the display content of the display area may be displayed (for example, in another screen) by selecting the title of each display area of the Time Line UI screen. In addition, a link is set in the information displayed on the Time Line UI screen, and by selecting this link, details of each information (for example, bibliographic information and contents of patent documents) may be displayed. .

  FIG. 9 is a diagram showing another example of the Time Line UI screen that is output by the information analysis system of the first embodiment and displayed on the client terminal 40.

  The Time Line UI screen shown in FIG. 9 is different from the Time Line UI screen shown in FIG. 8 in the selection by the pull-down menu. That is, on the Time Line UI screen shown in FIG. 8, in the market information display area, profit, single year, actual results / forecasts, all products are selected, so the yearly profit value of all four products to be analyzed Actual values and predicted values are displayed in a stacked bar chart. On the other hand, on the Time Line UI screen shown in FIG. 9, since profit, single year, change amount, and product DDD are selected in the market information display area, the increase and decrease in profit amount for each product DDD is displayed as a bar graph. Ru.

  Also, in the Time Line UI screen shown in FIG. 8, in the patent information display area, a single year, actual results / forecast, registration, and registration date are selected, so actual values and predicted values of the number of patent registrations for each fiscal year of each company Is displayed as a collective bar graph. On the other hand, in the Time Line UI screen shown in FIG. 9, since a single year, change amount, registration, and registration date are selected in the patent information display area, the increase and decrease in the number of patent registrations for each year of each Be done.

  As described above, the information analysis system of this embodiment can analyze patent (intellectual property) information, market information, and business trends in an integrated manner, analyze its own strength and its relationship with competitors, and analyze the results. Can be visualized visually.

Example 2
Next, a second embodiment of the present invention will be described. In the information analysis system of the first embodiment described above, actual values and predicted values of various information (own patent information, own business trend, and market information) are displayed on the Time Line UI screen in accordance with the time axis. However, when the period corresponding to the predicted value has passed, the actual value of the index predicted in the past is input to the information analysis system, and the predicted value becomes the past. In the second embodiment, an information analysis system is described in which the prediction accuracy is improved by evaluating a predicted value using the input actual value and feeding it back to the prediction. In addition, in Example 2, the same code | symbol is attached | subjected to the same structure and function as Example 1 mentioned above, and those description is abbreviate | omitted. In addition, in the second embodiment, only differences from the first embodiment will be described.

  FIG. 10 is a diagram showing the configuration of the information analysis system of the second embodiment.

  The information analysis system of this embodiment comprises an information analysis server 10, a storage device 20, an external server 30, and a client terminal 40.

  The information analysis server 10 is a computer having a CPU 11, a memory 12, an auxiliary storage device 13, and a communication interface 14.

  The memory 12 stores a search condition generation program 121, an information search program 122, a time series data generation program 123, a prediction program 124, a display data generation program 125, a display data output program 126, and a prediction evaluation program 127.

  The prediction evaluation program 127 is a program for evaluating the prediction value calculated in the past using the input actual value, and the details thereof will be described later with reference to FIG. The prediction evaluation program 127 may be activated, for example, at the timing when the actual value for the prediction value calculated in the past is input, or may be activated by the user's operation.

  FIG. 11 is a flowchart of predicted value evaluation processing. The prediction evaluation program 127 executes the prediction value evaluation process shown in FIG.

  First, the prediction evaluation program 127 acquires past actual values and prediction values (S501). The past actual value can be acquired from the updated financial information 222 when it is input by the user or when the financial information 222 of the sales information database 22 is updated.

  Next, the prediction evaluation program 127 evaluates the prediction value based on the degree of coincidence between the actual value and the prediction value (S502). Generally, the regression equation can be evaluated by the degree of variation of the difference using the difference between the actual value and the predicted value. As a result of the evaluation, if the variation of the difference between the actual value and the predicted value exceeds the predetermined threshold value, the process proceeds to step S503, and the variation of the difference and the difference is the smallest including the newly obtained actual value, that is, the matching degree is Recalculate predicted values using the highest regression equation. The change of the prediction method may be performed by changing the parameters of the regression equation, changing the regression equation, or changing the prediction method (change from prediction using the regression equation to prediction by machine learning).

  On the other hand, if the variation in the difference between the actual value and the predicted value is less than or equal to the predetermined threshold value, the process proceeds to step S504.

  Then, the display data generation program 125 generates display data (for example, html data) of the Time Line UI screen (see FIG. 8) including the recalculated predicted value, and the display data output program 126 is generated. The html data is output to the client terminal 40 (S504). At this time, the evaluation result of the previous predicted value may be displayed together with the recalculated predicted value. By displaying the evaluation results of the predicted values, the user can understand the improvement of the accuracy by the new regression equation.

  The client terminal 40 displays the Time Line UI screen according to the data transmitted from the information analysis server 10 by the web browser or the dedicated application.

  In the predicted value evaluation process described above, the predicted value is recalculated using the prediction method (regression equation) changed based on the evaluation result of the predicted value, but the evaluation result of the predicted value and the candidate for the regression equation are output to the user Then, the user may select a regression equation to be updated. Also, the regression equation may be separately changed simply by outputting the evaluation result of the predicted value to the user.

  As described above, the information analysis server 10 of the present embodiment evaluates the predicted value based on the updated actual value, so that the predicted value based on the latest data can be used for management judgment. In addition, since the predicted value is evaluated at the timing when the actual value is input, it is possible to evaluate the regression equation and obtain a highly accurate predicted value without the user performing a special operation. For example, when forecast values for fiscal 2018 to 2020 are calculated using actual values before fiscal 2017, and then actual values for fiscal 2018 are input, the predicted values (regression equation) are evaluated using the input actual values. Then, the regression equation is updated, and the newly updated regression equation is used to recalculate the predicted values for the year 2019 to 2021 to provide highly accurate predicted values.

  As described above, the information analysis server 10 according to the embodiment of the present invention acquires data on patent information, business trends, and market information from the databases (21 to 25 and 31) according to the search condition input by the user, The acquired data is organized according to time axis, and the data including patent information, business trend and market information generates display data for displaying the screen organized according to time axis, thus the data directly contributing to business activities Can be presented to enable prompt and accurate management decisions. That is, by analyzing patent (intellectual property) information, market information, and business trends in an integrated manner and visualizing the analysis results, it is possible to analyze the strength of the company and the relationship with competitors.

  Further, the database (storage device 20) stores data whose contents do not change after publication, and the information analysis server 10, among the patent information, business trend and market information, data whose contents may change after publication. Since the data is acquired from the external server 30 via the public network, the amount of data stored in the storage device 20 can be reduced, and the operation cost can be suppressed.

  In addition, the information analysis server 10 creates a search query for searching the database according to the condition input by the user (S202), acquires desired data from the database using the search query (S203), and the acquired data Are organized on the time axis to generate time series data (S204), and the future data is predicted from the data acquired from the database (S205), and the data acquired from the database and the predicted future data are on the time axis Since the display data for displaying the screen arranged according to is generated (S206), the data directly contributing to the management activity can be presented, and the quick and accurate management judgment can be made.

  In addition, when predicting future data, the information analysis server 10 predicts future data of the company using the past data of the company related to the prediction and the past data of the other company. The prediction accuracy can be improved as compared with the case of predicting future data using only the company data.

  In addition, the Time Line UI screen has a time axis that is the basis for organizing data, a business schedule display area that displays the business schedule that is the business trend of the company, and a development that displays the product development schedule that is the business trend of the company. The schedule display area, the market information display area for displaying information on the market to be analyzed, the own company business trend display area for displaying the business trend of the other company, and the patent information on the registered patent or published patent application Since the patent information display area to be displayed is included, it is possible to analyze patent (intellectual property) information, market information and business trends in an integrated manner, analyze the strength of the company and the relationship with competitors, and visualize the analysis result. Can be visualized.

  In addition, when the past data (actual value) is input to the database, the information analysis server 10 evaluates the already predicted data (predicted value) using the input actual value and evaluates the evaluation result. Since the output is made, the propriety of the forecasting method can be judged and data for more accurate management activities can be presented.

  In addition, when past data (actual value) is input to the database, the information analysis server 10 evaluates already predicted data (predicted value) using the input actual value, and the evaluation result is obtained. Accordingly, the method (for example, regression equation) for predicting future data from past data is changed, so that the predicted value can be updated based on the latest actual value according to the change in the business environment, and more accurate Can present data for various business activities.

  The present invention is not limited to the embodiments described above, and includes various modifications and equivalent configurations within the scope of the appended claims. For example, the embodiments described above are described in detail to explain the present invention in an easy-to-understand manner, and the present invention is not necessarily limited to those having all the configurations described. Also, part of the configuration of one embodiment may be replaced with the configuration of another embodiment. In addition, the configuration of another embodiment may be added to the configuration of one embodiment. In addition, with respect to a part of the configuration of each embodiment, another configuration may be added, deleted, or replaced.

  In addition, each configuration, function, processing unit, processing means, etc. described above may be realized by hardware, for example, by designing part or all of them with an integrated circuit, etc., and the processor realizes the respective functions. It may be realized by software by interpreting and executing the program to

  Information such as a program, a table, and a file for realizing each function can be stored in a memory, a hard disk, a storage device such as a solid state drive (SSD), or a recording medium such as an IC card, an SD card, or a DVD.

  Further, control lines and information lines indicate what is considered to be necessary for explanation, and not all control lines and information lines necessary for mounting are shown. In practice, it can be considered that almost all configurations are mutually connected.

10 Information Analysis Server 20 Storage Device 30 External Server 40 Client Terminal

Claims (15)

An arithmetic unit that executes a predetermined process;
A storage device connected to the computing device;
A communication interface connected to the computing device;
The arithmetic device is
Accessible to a database storing patent information, business trends and market information, each associated with time information;
Get data from the database according to the search criteria entered by the user,
Organize the acquired data according to the time axis,
An information analysis apparatus characterized by generating display data for displaying a screen in which data including the patent information, the business trend and the market information are organized according to the time axis. The information analysis apparatus according to claim 1, wherein
The database stores data whose contents do not change after publication,
The information processing apparatus is characterized in that, among the patent information, the business trend, and the market information, data that may change in content after publication is acquired from an external server via a public network. apparatus. The information analysis apparatus according to claim 1, wherein
The arithmetic device is
Create a search query to search the database according to the conditions entered by the user,
Obtaining desired data from the database using the search query,
Organize the acquired data on a time axis to generate time series data;
Predict future data from data obtained from the database,
An information analysis apparatus characterized by generating display data for displaying a screen in which data acquired from the database and the predicted future data are organized according to the time axis. The information analysis apparatus according to claim 3,
The arithmetic device is characterized in that, when predicting the future data, using the past data of a company involved in the prediction and the past data of another company, predicting the future data of the company. Analysis equipment. The information analysis apparatus according to claim 1, wherein
The screen is
A time axis on which the data is organized, and
Business schedule display area that displays the business schedule that is the company's business trend,
A development schedule display area that displays the product development schedule that is the company's business trend,
A market information display area that displays information on the market to be analyzed
Your own company's business trend display area that displays your company's business trends,
And a patent information display area for displaying patent information related to a registered patent or a published patent application. The information analysis apparatus according to claim 1, wherein
An information analysis apparatus characterized in that, when past data is input to the database, the already predicted data is evaluated using the input past data to output an evaluation result. The information analysis apparatus according to claim 1, wherein
When past data is input to the database, the input past data is used to evaluate already predicted data, and according to the result of the evaluation, future data is extracted from the past data. An information analysis apparatus characterized by changing a prediction method. A program for causing an information analysis device to analyze data,
The information analysis device includes an arithmetic device that executes a predetermined process, a storage device connected to the arithmetic device, and a communication interface connected to the arithmetic device.
The computing device is capable of accessing a database storing patent information, business trend and market information, each of which is associated with time information;
The program causes the information analysis device to
A procedure for acquiring data from the database according to a search condition input by a user;
A procedure for arranging the acquired data according to a time axis;
A program for executing a procedure of generating display data for displaying a screen in which data including the patent information, the business trend and the market information are organized according to the time axis. The program according to claim 8, wherein
The database stores data whose contents do not change after publication,
In the information analysis apparatus, the program acquires, from the external server via the public network, data which may change in content after publication among the patent information, the business trend, and the market information. Program to run. The program according to claim 8, wherein
Creating a search query for searching the database according to the condition entered by the user;
Obtaining desired data from the database using the search query;
Arranging the acquired data on a time axis to generate time-series data;
Predicting future data from data acquired from the database;
A program for causing the information analysis device to execute display data for displaying a screen in which data acquired from the database and the predicted future data are arranged according to the time axis. The program according to claim 10, wherein
In the step of predicting the future data, the information analysis device is caused to execute the step of predicting the future data of the company using the past data of the company related to the prediction and the past data of the other company. Program for The program according to claim 8, wherein
When past data is input to the database, the data analysis apparatus is caused to execute a procedure of evaluating data already predicted using the input past data and outputting an evaluation result. program. The program according to claim 8, wherein
When past data is input to the database, the previously predicted data is evaluated using the input past data, and according to the result of the evaluation, future data is extracted from the past data. A program for causing the information analysis device to execute a procedure of changing a prediction method. An information analysis apparatus is a method of analyzing data, and
The information analysis device includes an arithmetic device that executes a predetermined process, a storage device connected to the arithmetic device, and a communication interface connected to the arithmetic device.
The computing device is capable of accessing a database storing patent information, business trend and market information, each of which is associated with time information;
The method is
The arithmetic device acquires data from the database according to a search condition input by a user;
The arithmetic unit arranges the acquired data according to a time axis,
A method characterized in that the arithmetic unit generates display data for displaying a screen in which data including the patent information, the business trend and the market information are organized according to the time axis. The method according to claim 14, wherein
The computing device creates a search query for searching a database according to a condition input by a user;
The arithmetic device acquires desired data from the database using the search query,
The arithmetic unit arranges the acquired data on a time axis to generate time series data;
The arithmetic unit predicts future data from data acquired from the database;
A method characterized in that the arithmetic unit generates display data for displaying a screen in which data acquired from the database and the predicted future data are organized according to the time axis.