JP7762272B2 - Lease management device, lease management method, and program thereof - Google Patents

Description

The present invention relates to a lease management device, a lease management method, and a program therefor.

In recent years, an increasing number of companies and individuals are leasing rather than owning things. Leasing is a long-term rental service in which the borrower specifies the product they wish to rent, and the leasing company purchases it on their behalf. The borrower then pays a fixed monthly fee to the leasing company to rent the product. Meanwhile, rental, which has a similar concept to leasing, is a short-term rental service in which items prepared by a rental company are rented to an unspecified number of people. Therefore, while leasing allows the borrower to specify the product they wish to rent and have it prepared for them, rental does not mean that the borrower can rent what they want whenever they want. Therefore, data suggests that 90% of companies in the business world use leasing. Consequently, several patent documents are known regarding management devices and management systems for managing leased properties.

For example, Patent Document 1 discloses a lease information management device that handles the transfer of ownership of a solar power generation system. This management device includes a memory unit that stores lease contract information, including information indicating the lease period with the customer to whom the operating company subleases the solar power generation system; payment information, including information related to the solar power generation system lease fee; and ownership information, including information related to whether the operating company has ownership of the solar power generation system; a lease contract information storage unit that stores the lease contract information in the memory unit when the customer enters into a new lease contract with the operating company; a lease term expiration detection unit that detects the expiration of the lease term included in the lease contract information; a payment information storage unit that stores payment information from the customer in the memory unit; and an ownership information change unit that changes the ownership information of the solar power generation system based on the detection of the expiration of the lease term by the lease term expiration detection unit and the payment information.

Patent Document 2 also discloses an agricultural machinery share lease execution system that enables efficient shared use of agricultural machinery even between remote locations. This system lends agricultural machinery, which is the leased property, to a team of farmers who have signed a shared lease agreement, and rotates the machinery around, charging each farmer a lease fee. It has a lease execution server and a mobile terminal equipped on the agricultural machinery. The mobile terminal transmits the start and end times of operation of the agricultural machinery, as well as the location and operation data of the agricultural machinery at these times, to the lease execution server. The lease execution server accepts usage conditions data and location and operation data, including agricultural machinery information, user and field information, and work plan information, and calculates the usage fee for the agricultural machinery, calculating a basic fee based on the farmer's desired number of rental days, base non-operation date, desired work area, and base work time corresponding to the desired work area.

JP 2019-91338 A JP 2016-218809 A

Recently, the Internet of Things (IoT), also known as the "Internet of Things," has been attracting attention. IoT means that all kinds of things communicate via the Internet. For example, a door might start tweeting, "It's open now," a machine in a factory might say, "It's not working properly. It's about to break down," a plant might say, "I need water," or a cat collar might say, "It's in the toilet now." This information can be used in a variety of places via the Internet. However, the patent documents mentioned above do not disclose a mechanism for leasing property services that utilize IoT technology.

Therefore, in consideration of the above-mentioned issues, the present invention aims to provide a new platform that utilizes IoT technology for leasing services.

To solve the above problems, the present invention provides the following solutions.

(1) A lease management system for managing leased properties, comprising: a lease information receiving means for receiving lease information for the leased property from an IoT device incorporated in or attached to the leased property and storing the information in a lease information storage means; and a lease information analysis means for analyzing the value of the data stored in the lease information storage means or the correlation between the data, wherein the lease information analysis means determines the value of the lease information data based on the access frequency of the stored lease information and the number of requests for data storage for the same type of leased property.

(2) The lease management system described in (1), characterized in that it comprises a public/private setting means that communicates with the lease information analysis means and enables the data provider to set whether data related to the lease information is public or private; a data publishing means that notifies the manufacturer and user of the leased property of the private data and publishes the public data to the outside world within permitted limits; and a data storage request receiving means that receives requests from the user, the manufacturer, and other data users to store data related to the leased property.

(3) The lease management system described in (2) is further characterized by comprising a lease fee discount calculation means for calculating a discount amount on the lease fee as compensation for the data provided by the user or based on the value of the data.

(4) The lease information analysis means analyzes all possible combinations of the accumulated data and extracts data combinations that are found to have a significant correlation. Alternatively, if the same user leases multiple devices at the same time, the lease management system described in any of (1) to (3) is characterized in that it extracts correlations between the data on the multiple devices using usage data on the leased items.

(5) The lease management system described in (2) is characterized in that it further comprises a data sales acceptance means for accepting sales of data related to lease properties from the user, the manufacturer, the data user, and other businesses.

(6) A lease management system according to any one of (1) to (5), characterized in that the leased property includes software and electronic content.

(7) A lease management method for managing leased properties, characterized in that the lease management method includes the steps of receiving lease information for the leased property from an IoT device incorporated in or attached to the leased property and storing it in a lease information storage means, analyzing the value of the data stored in the lease information storage means or the correlation between the data, and determining the value of the lease information data in accordance with the access frequency of the stored lease information and the number of requests for data storage for the same type of leased property, performed by a computer.

(8) A program that causes a computer to execute each of the steps described in (7) above.

This invention makes it possible to provide a new platform for leasing services that utilizes IoT technology.

FIG. 1 is a diagram illustrating the concept of a new platform using leases according to an embodiment of the present invention. FIG. 10 is a diagram showing the concept of a new platform using leases (continued) according to an embodiment of the present invention. FIG. 1 is a diagram for explaining a package-type lease according to an embodiment of the present invention. FIG. 1 is a diagram illustrating a data utilization scheme according to an embodiment of the present invention. FIG. 2 is a diagram illustrating functional blocks of a lease management device according to an embodiment of the present invention. FIG. 2 is a diagram showing an outline of a specific example of data stored in a lease information storage means according to an embodiment of the present invention. FIG. 10 is a diagram showing a flow of a process for accumulating and publishing lease information according to an embodiment of the present invention. FIG. 10 is a diagram showing a processing flow for analyzing data values and relative relationships of lease information according to an embodiment of the present invention.

Below, a detailed description of the mode for carrying out the present invention (hereinafter referred to as the embodiment) will be given with reference to the accompanying drawings.

Figures 1 and 2 are diagrams showing the concept of a new platform using leasing in accordance with an embodiment of the present invention (hereinafter referred to as the present system). As already mentioned, leasing involves a leasing company purchasing machinery and equipment selected by a user on behalf of the user and renting it to the user for the medium to long term. However, as shown in Figure 1(a), the traditional leasing system involves a leasing company entering into a sales contract with a manufacturer for the equipment to be leased (leased property), receiving a transfer of ownership of the equipment, entering into a leasing contract with the user who will be the lessee, and receiving lease payments during the lease period.

FIG. 1(b) is a diagram showing the concept of a new platform using the lease of this system.
Users who lease equipment want to keep lease fees low. Meanwhile, manufacturers of equipment that lease assets want various information to utilize IT. The leasing company acts as a platform, offering users discounts on lease fees and proposing new equipment in exchange for receiving data from leased IoT equipment. Manufacturers receive information usage fees in exchange for providing the data received from users. In other words, this system functions as an information platform by collecting data from multiple users. Data can be collected by discounting lease fees, and monetization can be achieved through consulting on data provision and analysis.

As already mentioned, leasing companies receive usage fees from manufacturers by providing them with data from other companies and the results of that analysis, and in return for providing users with data, they receive discounts on lease fees. Furthermore, as shown in Figure 2, leasing companies can also provide analysis results of company data and provide consulting services to data users who are third parties and are neither manufacturers nor users. This is something that would have been unthinkable for traditional leasing companies.

Similar to leasing and rental is the concept of subscription. Subscriptions allow you to receive a service any number of times during a specified period of time by paying a set amount, and are often used for magazine subscriptions, internet communication services, mobile phone plans, and software usage fees. Generally, subscriptions are for services or intangible items such as those mentioned above, but there are also cases where software is packaged with a tangible item such as a PC, and a subscription contract is signed, with the usage fee paid in one lump sum.

In this system, intangible subscription assets can also be leased. Therefore, in this specification, subscriptions are also considered to be included in leases. However, for copyrighted assets, the copyright must be assigned to the leasing company or a license must be obtained. Below, we will explain the functions that this system provides to increase the value of the platform itself.

(Data value presentation function)
IoT data stored on this system can be set to be public or private, and IoT data holders who keep their data private will be notified that "Your data is in demand in the market, so by making it available for access, you can earn a monthly income."

(Data usage suggestion function)
We accept sales pitches for IoT data from non-users who are not yet lease users. By doing so, we can turn this system into an "IoT data platform" that goes beyond just data derived from leases. Furthermore, if we determine that the data being sold has value, we will add devices capable of outputting that IoT data to our lineup of lease products.

(Correlation publication function)
Regularly analyze data and publish any significant correlations found. In other words, analyze all possible combinations of data stored on the platform, memorize data combinations that are found to have significant correlations, and periodically publish these data combinations. This will attract new users. By constantly memorizing and disseminating information, it will also encourage users to access the platform regularly.

(Equipment leasing request reception function)
We will provide a means to accept requests to store IoT data that has not been made public on the platform. If data is stored but remains private, we will offer to make it public to the data owner. If the desired data cannot be transmitted, we will add IoT devices that can output the data to our lineup of leasing products.

(Package-type leasing proposal function)
Figure 3 is a diagram illustrating package leasing. While traditional leasing allows users to freely select the facilities and equipment they will use, package leasing provides multiple anticipated facilities and equipment in advance as a package. For example, a complete set of conference room equipment (PC, display, speakers, microphone, whiteboard, and recording camera) can be leased as a package. If usage of a certain piece of equipment increases, other package leasing users can be offered a package lease by rearranging the leases of the equipment with increased usage. Furthermore, additional conference room equipment such as wireless displays, electronic whiteboards, and wireless speakers can be proposed. Package proposals can be made based on data on multiple equipment leases. Package leasing makes it possible to obtain data on multiple facilities from the same company. Package leasing also allows for discounts on leasing fees.

(Specific proposals for data utilization)
Figure 4 shows a proposed data utilization scheme for this system. As a specific example of data utilization, an outline of a proposal for utilizing weather data (sunshine hours, wind power, etc.) and industrial equipment data to promote automation is shown. As shown in the figure, a leasing company can accumulate tractor operation data, sunshine data for solar power generation, wind power data for wind power generation, livestock data for livestock farming, ship operation data, aircraft flight data (not shown), and weather data (not shown), and use the accumulated data to contribute to the full automation of agricultural work using drones, maximizing the efficiency of the livestock farming industry, and the full automation of fishing.

For example, vital data such as body temperature, blood pressure, heart rate, and blood sugar levels of expectant mother cows could be collected from IoT devices attached to or implanted in the cows. This could be used to predict the health of calves immediately after birth, preventing accidents such as the death of a calf shortly after birth and maximizing the efficiency of the livestock industry. Furthermore, data on sunlight, weather, wind, tractor operation, and aircraft flight data could be used to monitor the color of crops in agricultural areas, soil condition, temperature, and wind direction, optimizing the location and timing of pesticide spraying to reduce the amount of pesticide used and contributing to the full automation of agricultural work to maximize harvests. Furthermore, images of the sea surface from aircraft, flight data, and ship operation data could be used to accurately track the location of schools of fish, leading to the full automation of fishing to maximize catches. None of these could be achieved by a single company alone, but by building a platform that combines various IoT data obtained from various devices leased by a leasing company.

(Advantages of this system)
The benefits for companies that lease equipment include (1) receiving discounts from the leasing company in exchange for providing data, (2) increased efficiency through the use of IoT devices, (3) opportunities to receive consulting services from other companies based on the data, and (4) the ability to introduce multiple lease products in a package from the leasing company.

Additionally, the benefits for manufacturers include (1) being able to enjoy data from more users through leasing companies, (2) being able to request data from leasing companies for equipment other than their own, and (3) being able to gain correlation with market data.

Furthermore, the benefits for leasing companies include: (1) the ability to obtain large amounts of diverse data due to the variety of products handled and the large number of trading companies; (2) the ability to simultaneously lease multiple devices; (3) the ability to provide the data obtained here to manufacturers and external consultants, allowing them to use it in their own consulting business; and (4) the ability to contribute to the development of new products (new lease properties) by combining new information.

(Functional blocks of this system)
The system configuration for realizing this system will be described in detail below with reference to Figures 5 and 6. In the following figures, arrows between functional blocks indicate the direction of data flow or the direction of processing flow.

Figure 5 is a diagram showing the functional blocks of the lease management device 100 of this system. As shown in the figure, this lease management device 100 is a device that manages lease information, and is broadly divided into a data reception means 110, a lease information storage means 120, a public/private setting means 125, a lease information analysis means 130, a data publication means 140, and a lease fee discount calculation means 150. Each means will be explained in turn below.

The data receiving means 110 is a means for receiving data and requests from manufacturers 10, users 20, data users 30, etc., and includes a leasing information receiving means 111, a data storage request receiving means 112, and a data sales receiving means 113.

The lease information receiving means 111 receives lease information (lease data) for leased items from IoT devices incorporated into or added to the leased items, and stores it in the lease information storage means 120. In other words, IoT data for devices 21 (IoT-compatible devices) currently being leased to users 20 is sequentially received and stored in the lease information storage means 120. If the leased device is not IoT-compatible, the leasing company may add IoT-compatible devices (devices that can connect to the Internet). The IoT data received here includes the device's operating status, detailed data during operation, footage from the built-in camera, and failure data, which will be described in more detail below.

The data storage request acceptance means 112 accepts requests for data storage from the manufacturer 10 (manufacturer's system), user 20 (user's terminal), and data user 30 (their terminal). The data for which requests are accepted is data for devices not owned by the leasing company, and is data for devices for which a new lease is desired to be started or data for which a user wishes to acquire data. The data sales acceptance means 113 accepts sales from users, manufacturers, data users, and other businesses of data for IoT devices not owned by the leasing company. If the device desired to be leased is not IoT-compatible, it is also possible to propose leasing the device as a set with a locally connectable IoT device.

The lease information storage means 120 is a database that stores IoT data received from the user 20 (user device), and stores information such as the device type, device ID, leased user ID, lease period, IoT data type, data on the actual use of the device, and installation location (see Figure 6 for specific examples). The lease information storage means 120 may be categorized by the user company's industry, size, region, etc. Note that the CAN (Controller Area Network) data in Figure 6 is a standard positioned as the standard protocol for automotive LANs standardized by ISO 11898, and can acquire data such as door opening, warp operation, brake operation, and steering operation.

The public/private setting means 125 has a function that allows the data provider (and in some cases the leasing company) to set whether or not data stored in the lease information storage means 120 will be made public. The public/private setting can be set for each piece of data when it is received, or for each item of data. For example, in the example of Figure 6, the user name, lease period, etc. can be set to private, while other items can be set to public. This setting can also be changed by the data provider at any time, even after the data has been provided. It is also possible to set the destination to which the data will be made public, the period for which it will be made public, etc. This means that even if the data is made public, it will be made public within the permitted scope. The public/private setting information is stored in the lease information storage means 120.

The lease information analysis means 130 includes a data value analysis means 131, a data correlation analysis means 132, and a package lease presentation means 143.

The data value analysis means 131 analyzes the data stored in the lease information storage means 120 to extract "data value." Here, "data value" is determined based on how much useful information can be obtained from the data, or how many users want that data. This determination does not have to be made entirely automatically; it can also be made by presenting analytical data that will serve as a reference for a final human determination of "data value." As already mentioned, it is also possible to notify data holders who have kept their data private that "your data is in demand in the market, so by making it public you could earn a monthly income."

The lease fee discount calculation means 150 calculates the discount amount on the lease fee for the user. As already mentioned, the leasing company provides the user with a discount on the lease fee in exchange for receiving data from the leased IoT device. Here, the lease fee discount calculation means 150 may determine the discount amount on the lease fee as compensation for the user's provision of data, or may determine it based on the "data value" extracted by the data value analysis means 131.

The data correlation analysis means 132 analyzes the "correlations" of equipment data stored in the lease information storage means 120. In other words, it analyzes all possible combinations of accumulated data, stores data combinations that are found to have significant correlations, and periodically publishes these data combinations. This correlation analysis can be performed regardless of field or equipment. In this way, it can extract correlated data, such as showing that diapers and beer are often sold together in supermarkets.

The data correlation analysis means 132 can also extract candidate devices to lease as a package by combining multiple devices. For example, it can extract cases in an office where a copier, telephone, and PC have been leased simultaneously from the same user, extract the tendency for specific combinations of devices to be leased simultaneously, and calculate the probability. Furthermore, as with the PC mentioned above, combinations of specific hardware and specific software are also thought to have a high correlation. Extracting such correlations can uncover unexpected combinations.

The data publishing means 140 includes a data value presentation means 141, a data correlation presentation means 142, and a package leasing presentation means 143. Each presentation means has the function of externally presenting data related to data value, equipment correlation, and package leasing, within the permitted scope, based on the results of analysis by the leasing information analysis means 130.

This concludes the explanation of Figures 5 and 6. However, the functional configuration of the system described above is merely an example. A single functional block (database and functional processing unit) may be divided, or multiple functional blocks may be combined into a single functional block. Each functional processing unit is implemented by a computer program executed by a central processing unit (CPU) built into the device, which reads a computer program stored in a storage device such as read-only memory (ROM), flash memory, solid-state drive (SSD), or hard disk. That is, each functional processing unit is implemented by the computer program reading and writing necessary data, such as tables, from a database (DB) stored in the storage device or a storage area in memory, and, in some cases, controlling related hardware (e.g., input/output devices, display devices, and communication interface devices). Furthermore, the database (DB) in the embodiments of the present invention may be a commercial database, but it also refers to a simple collection of tables and files, and the internal structure of the database itself is not important.

(Processing flow)
The processing of this system will be explained in more detail below with reference to Figures 7 and 8. In the processing flow diagrams (flowcharts) below, the processing order of each step may be changed as long as the relationship between input and output of each step is not affected.

Figure 7 shows the flow of the system's lease information accumulation and publication processes. The lease management device 100 (hereinafter simply referred to as the management device) of this system first acquires a list of leased items (including intangible assets) under lease contract in step S10. Next, in step S11, it checks whether the leased items are IoT-compatible. IoT-compatible means that the device has the ability to transmit device status data and data acquired from external sources to the outside via the Internet. If the device is IoT-compatible, it acquires data directly from the device in step S12. If the leased item is not IoT-compatible, it proceeds to step S13, where it checks whether there are any IoT-compatible devices in the vicinity. If there are no IoT-compatible devices in the vicinity, it does nothing here and jumps to step S21 to check the next unprocessed device. If there is an IoT-compatible device in the vicinity, it acquires data from that device in step S14.

Here, a peripheral device refers to a device that can acquire the status of devices that are not IoT-enabled. For example, if one of multiple devices leased as a package is internet-connected and can locally acquire status data of other devices that cannot connect to the internet, then that network device would be a peripheral device. Also, if the leased item is software or electronic content, then a PC on which that software or content is installed would be a peripheral device.

After step S12, the management device proceeds to step S15, where, if the acquired data has transmission conditions set, it checks whether the data transmission conditions are met. Data transmission conditions predetermine the timing for sending the data. For example, if the data requires real-time performance, it will be sent immediately to the manufacturer, etc. (step S16). If this is not the case, the data will be accumulated until a specified timing (for example, at a certain time every day, or once a week) arrives (step S17), and any unsent data accumulated up to that point will be sent at the next timing. This reduces the communication load.

The management device then checks in step S18 whether there are any data users other than the manufacturer or user. If there are no data users, it jumps to step S21 and moves on to checking the next unprocessed device. If there are data users, in step S19, if data transmission conditions exist and the transmission conditions are met, the data is immediately sent to the data user (step S20). If the transmission conditions are not met, the data is stored until the next opportunity, although this is not shown in the figure. Note that the data stored here does not have to match the data stored in step S17. This is because data users may not necessarily require the same level of detailed data as the data required by manufacturers, etc.

Finally, in step S21, the management device checks whether there are any unprocessed devices. If there are any unprocessed devices, the process returns to step S11. If there are no unprocessed devices, the process ends. Note that in the process in Figure 7, data reception and data transmission are performed simultaneously, but data reception and transmission may also be performed in separate processes. This concludes the explanation of Figure 7.

Figure 8 shows the processing flow for analyzing the data value and relative relationships of lease information in this system. First, in step S30, the management device reads data from the lease information storage means 120. Then, in step S31, the data value score is updated according to the data access frequency and data storage desires. The data value score is an index that represents the value of the data, and is determined according to the frequency with which the data is accessed from outside and the desired number of data of that type to be stored. Furthermore, if the data itself is scarce, this may also be taken into consideration.

In step S32, the management device then analyzes all possible combinations of the accumulated data and extracts data combinations that are found to have a significant correlation. A significant correlation is one that exceeds the expected range, for example, data from equipment used at the same time, data from equipment used exclusively, data from equipment affected by seasons or weather, or data from equipment that shows clear regional differences.

In step S33, the management device then checks whether the same user is leasing multiple devices at the same time. If this condition is met, the process proceeds to step S34; if not, the process jumps to step S35. This condition always applies to package-type leasing, but it may also apply when multiple devices are leased separately.

Then, in step S34, the management device extracts correlated leased items (leased equipment) from the accumulated data (lease information usage data). For example, even items that are considered to be in different fields, such as PCs and massage machines, are extracted as equipment that is likely to be used together. The data referenced here may be products in completely different fields. This is because a correlation can sometimes be found even between seemingly unrelated products, such as diapers and beer, as mentioned earlier.

Finally, in step S35, the management device checks whether there is any unprocessed data. If there is unprocessed data, the process returns to step S31; if there is no unprocessed data, the process ends. Note that in the process of Figure 8, the data value analysis and device correlation extraction are performed simultaneously, but the data value analysis and device correlation analysis may also be performed in separate processes. This concludes the explanation of Figure 8.

(Effects of the embodiment)
The effects of this system are summarized below. This system can provide a new platform for leasing services that utilizes IoT technology. This system is realized by a management device, which serves as the core. Specifically, the management device acquires leasing information from leased IoT devices, stores it in a storage device, and analyzes the value of the stored data or the correlation between the data. It also sets whether data related to the leasing information is public or private, notifies the manufacturer or user of the leased item of private data, and allows data that is permitted to be made public to the public within the permitted scope. Here, the leased item may be an intangible object such as software.

In addition, by analyzing leasing information, the value of accumulated data can be determined based on how often that data is accessed from outside and the number of requests for that type of data to be stored. It is also possible to extract data on correlations between devices by checking whether the same user is leasing multiple devices at the same time. Both of these methods can increase the added value of accumulated data.

In addition, by accepting requests to store data from outside, it is possible to introduce new leased properties and promote the IoT adoption of non-IoT-compatible devices depending on the status of this acceptance. The data sales acceptance means can also accept data itself from outside, and collect information on devices that are not leased. Both of these will make up for the shortfalls in leasing capacity.

Note that while the above embodiment has mainly described leasing, the mechanisms of the present invention can also be applied directly to rental, which is the same concept as leasing. The only difference between leasing and rental is whether the leasing company purchases and rents out equipment at the user's request, or whether the leasing company rents out equipment it already owns, and the rental period.

The present invention has been described above using embodiments, but it goes without saying that the technical scope of the present invention is not limited to the scope described in the above embodiments. It will be clear to those skilled in the art that various modifications and improvements can be made to the above embodiments. Furthermore, it is clear from the claims that forms incorporating such modifications or improvements can also be included within the technical scope of the present invention. Note that in the above embodiments, the present invention has been described as an invention of a product, namely, a lease management device, but the present invention can also be considered as an invention of a method (lease management method) or a computer program.

10 Manufacturer 20 User 21 Leased equipment 30 Data user 100 Lease management device 110 Data acceptance means 111 Lease information reception means 112 Data storage request acceptance means 113 Data sales acceptance means 120 Lease information storage means 125 Public/private setting means 130 Lease information analysis means 131 Data value analysis means 132 Data correlation analysis means 140 Data publication means 141 Data value presentation means 142 Data correlation presentation means 143 Package lease presentation means 150 Lease fee discount calculation means

Claims (7)

A lease management system for managing leased properties,
A lease information receiving means for receiving lease information of the leased property from an IoT device incorporated in or added to the leased property and storing the information in a lease information storage means;
a lease information analysis means for determining the value of the data of the lease information stored in the lease information storage means according to the access frequency of the lease information and the number of requests for data storage of the same type of lease property ;
a lease fee discount calculation means for calculating a discount amount of the lease fee as compensation for the data provided by the user of the leased property or based on the value of the data determined;
A lease management system comprising : a public/private setting means for communicating with the lease information analysis means and for allowing a data provider to set whether data relating to the lease information is to be public or private;
a data publishing means for notifying the manufacturer and user of the leased property of the non-public data and publishing the public data to the public within the permitted scope;
2. The lease management system according to claim 1, further comprising a data storage request receiving means for receiving requests from said users, said manufacturers, and other data users to store data relating to leased properties. The lease management system described in claim 1 or 2, characterized in that the lease information analysis means further analyzes the accumulated data in all combinations and extracts combinations of data that are found to have a significant correlation , or, if the same user leases multiple leased properties at the same time, extracts correlations between the data of the multiple leased properties using usage data of the leased properties. The lease management system described in claim 2 further comprises a data sales acceptance means for accepting sales of data related to lease properties from the user, the manufacturer, the data user, and other businesses. 5. The lease management system according to claim 1, wherein the leased property includes software and electronic content. A lease management method for managing leased property, comprising:
receiving lease information of the leased property from an IoT device incorporated in or added to the leased property and storing the information in a lease information storage means;
A step of determining the value of the data of the lease information according to the access frequency of the lease information stored in the lease information storage means and the number of requests for data storage of the same type of lease property ;
calculating a discount on the lease fee as compensation for the data provided by the user of the leased property or based on the determined value of the data;
A lease management method characterized by being executed by a computer. A program causing a computer to execute the steps set forth in claim 6 .