DETAILED ACTION
The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA .
Notice for all US Patent Applications filed on or after March 16, 2013
In the event the determination of the status of the application as subject to AIA 35 U.S.C. 102 and 103 (or as subject to pre-AIA 35 U.S.C. 102 and 103) is incorrect, any correction of the statutory basis for the rejection will not be considered a new ground of rejection if the prior art relied upon, and the rationale supporting the rejection, would be the same under either status.
Status of the Claims
This communication is in response to communications received on 6/3/25. Claim(s) none is/are amended, claim(s) none is/are cancelled, claim(s) none is/are new, and applicant does not provide any information on where support for the amendments can be found in the instant specification. Therefore, Claims 1-11 is/are pending and have been addressed below.
Information Disclosure Statement
There is no IDS.
Priority
Acknowledgment is made of applicant's claim for foreign priority based on an application(s) filed in China on 12/12/22. Should applicant desire to obtain the benefit of foreign priority under 35 U.S.C. 119(a)-(d) prior to declaration of an interference, a certified English translation of the foreign application must be submitted in reply to this action. 37 CFR 41.154(b) and 41.202(e).
Failure to provide a certified translation may result in no benefit being accorded for the non-English application.
Response to Arguments
There are no arguments.
Claims Without Prior Art Rejections
Claim(s) 1-11 do/does not have prior art rejections. The remaining rejections are 101 as noted below.
Closest prior art to the invention include
CN 109544050 A discloses a method and system for presenting financial data by means of data visualization, and discloses (see description, paragraphs 54-121, and figures 1-6): acquiring financial report data of an economic entity, extracting report data from the financial report, storing the data in a database, and extracting financial features and drawing them in selected matching visual chart templates (i.e. acquiring target source data, storing the source data in a preset data system, organizing the source data stored in the preset data system and then using same as target data); views include the visualization of the consolidated balance sheet, the consolidated income statement, and the consolidated cash flow statement, and Dupont analysis, etc., which show the profit quality, profitability, development ability, operation ability of the economic entity, etc. (i.e. determining various dimensions of profit and comprehensive capabilities; on the basis of background data relationships, drawing and rendering the corresponding visual graphs, selecting graphical data, and using visual tool software to achieve the coupling between background data and front-end display of a panel interface; and drawing and rendering the corresponding visual graphs including the growth ability graph). Different categories of indicators are represented by different color schemes, and different shades of color within the same scheme represent branches at different levels under each category (i.e. representing the category and hierarchical relationships by rendering colors).
Also teaches (original vs citation) acquiring source data of a target enterprise from a data platform, storing the source data in a preset data system, and sorting the source data stored in the preset data system as target data [see at least [0065] “Economic entities publish financial reports four times a year. Each report includes a consolidated balance sheet, a consolidated income statement, and a consolidated cash flow statement. It is necessary to extract data from these financial statements and establish a database to store the data.”].
Also teaches financial equations [see at least [0103] “The DuPont analysis metrics (including but not limited to equity multiplier, return on total assets, return on total assets, debt-to-equity ratio, operating profit margin, net profit margin, net profit margin attributable to owners of the parent company, and return on equity, etc.)”].
CN 112750059 A discloses (see description, paragraphs 141-367, and figures 1-18): a data access platform is used for acquiring original data from platforms of government departments, predicting and analyzing the data on the basis of the model, and extracting different data for visualization and display (i.e. acquiring source data from a plurality of different data platforms, performing prediction by means of mathematical models, algorithms, and target data, and performing data visualization by means of the visual graphs).
Balan (US 20220405679 A1) discloses (original vs citation) acquiring source data of a target enterprise from a data platform, storing the source data in a preset data system, and sorting the source data stored in the preset data system as target data [see at least [0098] acquire data “In some embodiments, the system maps all financial and operational data of an organization, business or business unit and provides Executives and Investment Managers with a 360° view of the entities that they run and manage. The steps include retrieving an entity's financial data from a database of financial records. The data from the database may be initially inputted in a variety of ways including CSV, PDF or direct pull from the Company's ERP system in order to accurately compare the actual financial and operational data of the Company to the proprietary, accurate projected performance of the Company in both a ‘standard’ report through the invention's proprietary, data-science driven visualizations.”;
[abstract] sorting “The system receives as an input actual financial data of said business entity. The system sorts said actual financial data into predefined categories. The system uploads the sorted actual financial data into a database.”];
KR20240002632 A discloses
financial equations furthering CN 109544050 A’s non limiting financial equations [see at least [0017] “[Additionally, financial diagnostic data for the revenue generation segment may include operating profit growth rate, ordinary profit growth rate, operating profit margin on sales, and ordinary profit margin on sales.
With this configuration, even non-experts can assess the status of a company's revenue generation.
At this time, financial diagnostic data of the revenue generation sector may further include the sales growth rate, net profit growth rate, cost of sales ratio, net profit margin, financial cost burden ratio, interest coverage ratio, and current account ratio.”]
Claim(s) 2-11 is/are rejected because they depend on claim(s) 1.
Claim Rejections - 35 USC § 112
The following is a quotation of 35 U.S.C. 112(b):
(b) CONCLUSION.—The specification shall conclude with one or more claims particularly pointing out and distinctly claiming the subject matter which the inventor or a joint inventor regards as the invention.
The following is a quotation of 35 U.S.C. 112 (pre-AIA ), second paragraph:
The specification shall conclude with one or more claims particularly pointing out and distinctly claiming the subject matter which the applicant regards as his invention.
Claim(s) 10-11 is/are rejected under 35 U.S.C. 112(b) or 35 U.S.C. 112 (pre-AIA ), second paragraph, as being indefinite for failing to particularly point out and distinctly claim the subject matter which the inventor or a joint inventor, or for pre-AIA the applicant regards as the invention.
Claim(s) 10-11 is/are rejected. Regarding claim(s) 10 and 11, it has been held that a claim that recites both a system and a method for using said system is indefinite under section 112, paragraph 2. As such, a claim is not sufficiently precise to provide competitors with an accurate determination of the 'metes and bounds' of protection involved-IPXL Holdings LLC v. Amazon.com Inc., 77 USPQ2d 1140 (CA FC 2005); Ex parte Lyell, 17 USPQ2d 1548 (B.P.A.I. 1990)
A single claim which purports to be in multiple statutory classes is ambiguous and is properly rejected under 35 USC 112, second paragraph, for failing to particularly point out and distinctly claim the invention-Ex Parte Lyell, 17 USPQ2d 1548 (B.P.A.I. 1990).
Claim Rejections - 35 USC § 101
35 U.S.C. 101 reads as follows:
Whoever invents or discovers any new and useful process, machine, manufacture, or composition of matter, or any new and useful improvement thereof, may obtain a patent therefor, subject to the conditions and requirements of this title.
Claim(s) 1-11 is/are rejected under 35 U.S.C. 101 because the claimed invention is directed to non-statutory subject matter. The claim(s) does/do not fall within at least one of the four categories of patent eligible subject matter as noted below.
The limitation(s) below for representative claim(s) 1 that, under its broadest reasonable interpretation, is directed to processing financial data to generate visualizations of the financial data.
Step 1: The claim(s) as drafted, is/are a process (claim(s) 1-11 recites a series of steps) and system (claim(s) 10-11 recites a series of components).
Step 2A – Prong 1: The claimed invention is directed to an abstract idea without significantly more. The claim(s) recite(s) (emphasis added):
Claim 1: acquiring source data of a target enterprise from a data platform, storing the source data in a preset data system, and sorting the source data stored in the preset data system as target data;
creating a data model and algorithm, forecasting a net profit growth rate of the target enterprise according to the target data, determining a corresponding net profit after deducting non-recurring gains and losses of the target enterprise as a recurring profit, determining a capacity indicator of the target enterprise according to the recurring profit, and determining a value space of the target enterprise according to the capacity indicator and the net profit growth rate, to determine a fitting range and a corresponding value score of value capacity of the target enterprise according to the value space, and then determine a score of each dimension of comprehensive capacity of the target enterprise; and
drawing and rendering a corresponding visual graph according to a background data relationship in the data model and algorithm in conjunction with the target data, the value space, the value capacity, the value score and the comprehensive capacity, specifically comprising:
selecting graphic data, and coupling background data and a front-end display of a panel interface using visualization tool software in conjunction with self-developed programs for completing automation tasks; and
drawing and rendering a corresponding visual graph according to a background data relationship in the data model and algorithm, wherein the visual graph comprises: an industry map, a concept map, a comprehensive capacity map, a value capacity map, a growth capacity map, a revenue growth map, a profit growth map, an enterprise N-dimensional map and a panel interface map;
wherein the target data platform comprises a plurality of different data platforms, and acquiring source data of the target enterprise from the data platform specifically comprises:
acquiring source data of the target enterprise corresponding to each of a plurality of preset time points from each of the data platforms, comprising: acquiring the source data by means of a segmentation method according to data attributes and scroll refresh time; and determining each data belonging to associated data in a report form according to a format of the report form, and acquiring the source data from the respective target data platform according to a computer- written segmentation acquisition condition to achieve respective acquisition of all associated data;
determining missing data of the source data acquired at the latest time point, to search for the missing data from the source data acquired at other time points and fill the missing data into the source data acquired at the latest time point, and storing the source data in a preset data system as source data to be processed;
sorting the source data to be processed as target data; and
wherein sorting the source data stored in the preset data system comprises:
executing a primary data operation to output the source data to a primary database table;
executing a secondary data operation and outputting a secondary database table, using relevant data to create an integrated multi-dimensional data model and algorithm, and conducting an integration analysis on the target enterprise; and
executing a tertiary data operation to process relevant data in the primary database table and the secondary database table into corresponding graph database tables; and
wherein drawing and rendering the corresponding visual graph comprises:
determining rendering colors of all industry maps and all concept maps according to subordinate relationships and association relationships between the industry maps and the concept maps, to represent categories and hierarchical relationships of the industry maps and the concept maps through the rendering colors,
wherein the industry maps are divided according to an industry to which the target enterprise belongs, and the industry maps are divided into at least three grades according to the subordinate relationships of the industry maps; the concept maps are divided according to a concept to which the target enterprise belongs, and the concept maps are divided into at least three grades according to the association relationships and/or the subordinate relationships of the concept maps; and
the graded rendering colors of the industry maps and the concept maps are displayed in an association manner through the panel interface, and the concept maps are displayed in a scrolling manner; and
automatically combining visual graphs corresponding to the target data, the value space, the value capacity, the value score and the comprehensive capacity together for display to obtain the enterprise N-dimensional map which is configured to represent an overall outline of operating condition and market performance of the target enterprise.
Dependent claims 2-11 recite the same or similar abstract idea(s) as independent claim(s) 1 with merely a further narrowing of the abstract idea(s): .
The identified limitations of the independent and dependent claims above fall well-within the groupings of subject matter identified by the courts as being abstract concepts of:
a method of organizing human activity (commercial or legal interactions including advertising, marketing or sales activities or behaviors, or business relations) because the invention is directed to economic and/or business relationships as they are associated with processing financial data to generate visualizations of the financial data.
Step 2A – Prong 2: This judicial exception is not integrated into a practical application because:
The additional elements unencompassed by the abstract idea include data platform, preset data system, panel interface, target data platform comprises a plurality of different data platforms (claim(s) 1), data processing and visualization medium is a non-transitory computer-readable storage medium, processor (claim(s) 10), data processing and visualization device is an electronic device comprising a memory, a processor and a computer program (claim(s) 11),.
The claim(s) does/do not include additional elements that are sufficient to amount to significantly more than the judicial exception because the additional elements as described above with respect to Step 2A Prong 2 fails to describe:
Improvements to the functioning of a computer, or to any other technology or technical field - see MPEP 2106.05(a)
Applying or using a judicial exception to effect a particular treatment or prophylaxis for a disease or medical condition – see Vanda Memo
Applying the judicial exception with, or by use of, a particular machine – see MPEP 2106.05(b)
Effecting a transformation or reduction of a particular article to a different state or thing - see MPEP 2106.05(c)
Applying or using the judicial exception in some other meaningful way beyond generally linking the use of the judicial exception to a particular technological environment, such that the claim as a whole is more than a drafting effort designed to monopolize the exception - see MPEP 2106.05(e) and Vanda Memo.
Thus the additional elements as described above with respect to Step 2A Prong 2 are merely (as additionally noted by instant specification pg 31 or pre grant publication [0181]) invoked as a tool and/or general purpose computer to apply instructions of an abstract idea in a particular technological environment, and/or mere application of an abstract idea in a particular technological environment and merely limiting the use of an abstract idea to a particular technological field do not integrate an abstract idea into a practical application (MPEP 2106.05(f)&(h)).
Step 2B: The claims do not include additional elements that are sufficient to amount to significantly more than the judicial exception. Thus the additional elements as described above with respect to Step 2A Prong 2 are merely (as additionally noted by instant specification pg 31 or pre grant publication [0181]) invoked as a tool and/or a general purpose computer to apply instructions of an abstract idea in a particular technological environment, and/or mere application of an abstract idea in a particular technological environment and merely limiting the use of an abstract idea to a particular technological field do not integrate an abstract idea into a practical application and thus similarly the combination and arrangement of the above identified additional elements when analyzed under Step 2B also fails to necessitate a conclusion that the claims amount to significantly more than the abstract idea for the same reasons as set forth above (MPEP 2106.05(f)&(h)).
Conclusion
When responding to the office action, any new claims and/or limitations should be accompanied by a reference as to where the new claims and/or limitations are supported in the original disclosure.
The prior art made of record and not relied upon is considered pertinent to applicant's disclosure.
Wu et al. – CN 115099678 A (relevant because it teaches Financial analysis and diagnosis: Visually transform the analysis results to generate graphs/tables/trend charts)
Arleo et al. – Visual Exploration of Financial Data with Incremental Domain Knowledge (relevant because it teaches a) The paper proposes a 3D view of the Australian energy market on a map of the continent, using graphical assets to represent, e.g. the demand and average price of electricity., b) Visualization is based on a node‐link approach whose nodes are the fiscal entities and the links represent the transactions. Tekušová et al. [TK08] project information about shareholder networks into a directed weighted graph to reveal patterns and support the visual analysis of cash flows.)
Any inquiry concerning this communication or earlier communications from the examiner should be directed to JAMES WEBB whose telephone number is (313)446-6615. The examiner can normally be reached on M-F 10-3.
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If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Jerry O’Connor can be reached on (571) 272-6787. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300.
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/JAMES WEBB/Examiner, Art Unit 3624
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