Process for optimising data for business learning, development and acceleration

Abstract

The present invention relates to a process for optimising data for business and business learning, based on two modules (Figure 1): a local module installed as an application on a user device, and a cloud-based module. The local module (Figure 2) comprises 9 (nine) components: user interface, processing, database, security, communication / APIs, control, people, mechanism, and CRM – client relationship management. The cloud-based module (Figure 4) comprises 12 (twelve) components: management interface, processing, database, security, communication, artificial intelligence (AI), game, search, control, people, mechanism, and CRM – client relationship management. When combined, these modules enable knowledge and optimisation of management processes, business management learning by users, development of strategic procedures for generating predictability and acceleration of results, gamification and mindset transformation in order to improve individual and business performance, and foresight analysis using game theory models.

Description

PROCESS FOR OPTIMIZING DATA FOR LEARNING, DEVELOPMENT AND BUSINESS ACCELERATION. DESCRIPTIVE REPORT FIELD OF INVENTION

[0001] The present invention deals with a data optimization process for business and business learning based on two blocks (figure 1): a block residing in an application installed on the user's device and another block in the cloud.

[0002] The RESIDENT BLOCK (figure 2) is composed of 9 (nine) modules: User Interface, Processing, Database, Security, Communication / APIs, Control, People, Mechanism and CRM - Client Relationship Management.

[0003] The CLOUD BLOCK (figure 4) is composed of 12 (twelve) modules: Management Interface, Processing, Database, Security, Communication, AI (artificial intelligence), Game, Search, Control, People, Mechanism and CRM - Client Relationship Management.

[0004] These blocks, taken together, allow users to understand and optimize management processes, learn business management, and develop strategic procedures to generate predictability and accelerate results, gamification, and specific mindset changes to increase people and business performance.

[0005] Due to the jargon used in the technical area of ​​this invention, some words are more appropriately used in English. These technical terms are already widely used in this technical area in Brazil. PREVIOUS EVENTS

[0006] Competition and the need for optimization of companies / institutions and institutions demands a constant review of data obtained from different sources, of the company's internal processes, of the relationship between these processes and external variables surrounding the business, and also an analysis of how to deal with the human component responsible for carrying out both the internal processes and the external relations of the Company / institution.

[0007] There is, in fact, a systemic information problem in analyzing all the data generated by different sources, failing to bring information and knowledge to light due to a lack of cross-referencing and analysis of this data.

[0008] The speed at which data is generated in specific environments (different software and platforms that meet specific demands such as financial, commercial, online marketing, human, among others), being made available on different platforms without any or no interaction, makes it humanly impossible to evaluate, validate and transform this data set into useful and indispensable information for the strategic management of the business, meeting the user's need to make fast, quality and assertive decisions based on data.

[0009] This technical problem of a lack of systemic analysis of all data considered objective is compounded by the absence and failure to consider data considered subjective because they relate to human performance. The technical problem lies in analyzing objective data separately, disregarding subjective data (people), which are the main driver of performance. However, with the advancement of knowledge and the use of innovative techniques in the mental sciences that generate relevant data and enable monitoring, In human performance, it's absolutely possible to combine objective and subjective data to promote mindset change, transfer knowledge faster, and generate learning through gamification based on game theory. These innovative mind science techniques, applied according to collected and optimized data, directly contribute to increased performance and productivity by promoting people's emotional well-being. Moreover, the ability to perform actions more effectively increases, as does emotional control, among other benefits.

[0010] Several methods have been suggested to optimize these types of processes, and there is not necessarily an optimal method or process for all companies and institutions.

[0011] The combination of these methods and processes with computing techniques has produced new techniques whose importance has been growing in terms of application and results, especially with the use of AI (artificial intelligence) techniques, game theory, neural networks and real-time processing. It is possible not only to have control over objective and subjective data from different sources in a single control panel, but also to make the information generated by the platform suitable for different types and models of business, companies and institutions.

[0012] A technique presented for optimizing business processes is described through the invention US2014278818A1 (B2) • 2014-09-18 • BUSINESS DEVELOPMENT CONFIGURATION which discloses a process for simulating one or more business-related scenarios, to manage situational events encountered in the modeled business environment using the input data of the scenario to thus generate data related to the simulation results.

[0013] However, such invention is limited to simulation based on existing data from past events and current scenarios, and does not include predictability based on economic and behavioral trends, nor prospective analysis.

[0014] A technique presented for optimizing business processes is described by the invention WO2022109153A1 • 2022-05-27 • SYSTEMS AND METHODS FOR OPTIMIZING BUSINESS WORKFLOWS, and discloses a process for providing a method for optimizing business workflows. The method may comprise generating a workflow map that is optimized for the business and generating one or more training programs based on the optimized workflow map.

[0015] However, this invention limits itself to analyzing the workflow itself, suggesting training programs without considering the effectiveness of those executing them (the human element). This invention assumes that suitable and qualified people are occupying the positions within this workflow. Data analysis will be completely compromised if unsuitable people occupy these positions in the workflow being analyzed.

[0016] A presented technique for optimizing business processes is described through the invention US2015242793A1 and WO2015127333A1 • 2015-08-27 • SYSTEMS AND METHODS FOR AUTO-OPTIMIZATION OF GAMIFICATION MECHANICS FOR WORKFORCE MOTIVATION which discloses a process for automatically optimizing gamification mechanics to increase workforce performance by collecting action data through a gamification platform, applying gamification mechanics to the action data to calculate the effectiveness of each action, receiving performance metrics and updating the gamification mechanics by optimizing the weights for each action.

[0017] However, such an invention is limited to collecting data that measures the action and its effectiveness alone, without Consider other essential variables to measure the effectiveness of an action that can only be acquired through the collection of specific data from different sources, which can be objective and subjective, of economic or human origin. When optimized, these data allow for a more accurate assessment of the action's effectiveness. This invention assumes that actions alone can be evaluated without considering the human element that drives their execution. Therefore, the data analysis and gamification criteria of this invention will be compromised, potentially leading to erroneous assessments. This model is still limited to actions that have been previously classified and assigned weights. This model does not work with dynamic class systems.

[0018] A technique presented for optimizing business processes is described through the invention AU2021106452A4 • 2021 -12-02 • METHOD FOR STRATEGIC SELECTION OF WORKFORCE AUTO-OPTIMIZATION USING GAMIFICATION MECHANISM THEREOF, which discloses a process for automatic workforce optimization that makes use of a gamification mechanism, being a gamification platform, accommodated in any suitable interface that accumulates action data from one or more workers. It can obtain metrics from internal systems or through third-party systems, optimizing weights for each action in a fitness function. Effectiveness predictions for future actions are generated using 15 optimized weights.

[0019] However, this invention, by failing to specify and consider other essential variables, which may be objective and subjective, of economic or human origin, to measure the effectiveness of an action, gamifying it to generate effectiveness predictions for future actions. Because it is based solely on the 15 (fifteen) pre-established optimized weights, it limits its data analysis and compromises the determination of the action's effectiveness. This invention assumes that actions alone can be evaluated without considering the human element that is the factor in executing such actions. Therefore, the data analysis and gamification criteria of the present invention are limited and may generate erroneous assessments, which would be a limitation of the prior art.

[0020] A technique presented for business process optimization is described through invention IN2849MU2013A • 2015-07-10 «A SYSTEM AND METHOD TO MEASURE, AGGREGATE, AND ANALYZE EXACT EFFORT AND TIME PRODUCTIVITY» which discloses a process for automatically measuring, analyzing, and improving the exact work effort of senior executives, without requiring manual intervention or configuration. The system captures all users' work effort, tracking the daily time spent by employees. The captured individual work effort is mapped to the organization's hierarchy and business attributes. As a result, work patterns and trends are identified within each subunit / operational dimension of the business.

[0021] However, this invention is limited in its application to senior executives and employees. Therefore, the specificity of its objective of identifying work patterns and trends within each subunit / operational dimension of the business is compromised in different scenarios, such as social behavioral changes and / or the different work relationships adopted today, such as home office systems, outsourcing, among others.

[0022] The invention in question does not consider assessing the behavioral, cognitive, and functional profiles of the mind, factors considered to be the cause of patterns and trends. This invention evaluates and validates existing patterns and trends, presenting the effect rather than the cause, or focusing on the objective, suggesting growth actions.

[0023] A technique presented for optimizing business processes is described through the invention US2017189814A1 (B2) • 2017-07-06 • ADAPTIVE WIZARD FOR GAMIFICATION SITE CREATION reveals a process for generating, through an adaptive wizard, a personalized gamification system, providing A way for a client to recognize and reward desired behavior patterns to increase user engagement. Gamification is used to help achieve the client's corporate objectives.

[0024] However, this invention fails to consider the user's cognitive behavioral profile analysis, which is the rational framework that justifies emotional decision-making. Being limited to behavioral analysis alone, it weakens the software's effectiveness in the reward system generated by gamification, which aims to increase engagement with other users. GENERAL DESCRIPTION

[0025] The present invention in the form of a process implemented by a computer program reveals a platform for a business optimization process with real-time updates and gamified learning that aims to satisfy the gaps found in the state of the art that we have just presented, being composed of two blocks (figure 1): a block residing in an application with a user and another block in the cloud (on servers accessed via the internet).

[0026] The RESIDENT BLOCK (figure 2) is composed of 9 (nine) modules:

[0027] All formulas, specifications, and simulations used in the resident module for both variable calculations and optimization processes are defined in the Cloud Block. These formulas and specifications can be modified over time or by other parameters and will be updated by the network in the Resident Blocks. Some of these formulas, specifications, and simulations are widely known in their fields of expertise, while others that are less well-known will be exemplified as implementation modalities of the present invention.

[0028] User Interface Module. The user interface allows access to data, processed and optimized information, whether partial or complete, and all the features proposed here to solve the aforementioned technical problems. Using a password and login, the user accesses the dashboard (Figure 7) containing the modules presented as Control, People, Mechanism, and CRM panels, as well as the submodules (Figures 8, 9, and 10) for each. The user obtains in real time all information entered or changed from different sources, whether through automatic or manual data input. The user can choose to access the data in detailed macro or micro format, depending on their needs.

[0029] Processing Module. This module processes all information received from each of the other modules, storing it in the database and distributing it to the other modules whenever necessary for the platform to function properly. Data processing is an important part of the optimization process, as it evaluates, combines, and associates data generated by different sources, either manually or automatically by the user. It transforms this data into useful and strategic information for accurate techniques, updating the user on results and current scenarios, and generating predictable future results, providing action options to accelerate the business.

[0030] Database Module. This module (Figure 3) consists of more than one database, where it stores all and any information generated, whether in its raw form from the user interface or as information processed by other modules. It is fed by various internal and external databases, and inputs can be manual or automated.

[0031] Security Module. This module is responsible for encrypting the information security of all data entering or leaving the platform.

[0032] Communication Module | APIs. This module is responsible for adapting communication protocols according to needs. It acts as:

[0033] a) Transforming the information that needs to be communicated or received to the resident block and cloud modules, as well as other fields of interest, also being able to search, through the processing module, and introduce necessary information from any other database.

[0034] b) Adapting communication protocols according to requirements.

[0035] c) Running APIs, promoting the flow of information.

[0036] Control Module, (figure 8) This module analyzes data related to its functionality and aims to:

[0037] a) Perform data processing to optimize and minimize the response time of the results requested by the user, considering the processing capacity of the local machine used by the user.

[0038] b) Present in a single control panel all the data obtained: financial, accounting, commercial and human, optimized to generate relevant information in real time.

[0039] It is also responsible for:

[0040] i) Measure a business’s productive capacity, growth, profitability.

[0041] ii) Perform prospective analyses (calculate optimal processes in a similar way to optimal control, having the destination as the fixed point and not the origin).

[0042] ill) Simulate results and generate predictability according to business objectives, providing relevant financial, accounting and commercial information.

[0043] The Control Module has 7 (seven) submodules: Simulators, Purchase Profile Analysis, Network Search, Training, Performance Evaluation, Prospecting and Gamification.

[0044] People Module (Figure 9). This module analyzes data related to its functionality and aims to:

[0045] a) Perform as much processing of human assessment data as possible, whether behavioral or functional, from the brain.

[0046] b) Minimize the response time for results requested by the user, considering the processing capacity of the local machine used by the user.

[0047] It is also responsible for:

[0048] i) Measure the delivery capacity of each employee.

[0049] ii) Monitor performance and maintain high performance using different behavioral and functional analysis tools analyzed together.

[0050] The People Module has 7 (seven) submodules: Simulators, Prospecting, Management, Cognitive Training, Mindset Training, Performance Review, Gamification.

[0051] Mechanism Module (figure 10) This module analyzes data by interrelating results from the people and control modules and aims to:

[0052] a) Perform the processing of financial, accounting, tax and human data on the platform.

[0053] b) Optimize data and minimize the response time for results requested by the user, considering the processing capacity of the local machine used by the user.

[0054] c) Gamify using game techniques and theory to promote healthy competition, encourage profit sharing, retain talent, increase engagement in desired results, stimulate interest in learning and professional development, and reduce idleness and turnover.

[0055] It is also responsible for:

[0056] i) Create, through a statistical or mathematical optimization process, a mechanism for company growth, people engagement and merit-based remuneration, measuring each employee's performance and contribution to the company's growth.

[0057] li) Use financial, accounting and statistical techniques to give weight and price to each share, generating a currency specific to the company that will be dynamically assigned to the shares.

[0058] iii) Establish dynamic rules based on meritocracy whose parameters and model are defined in the cloud module.

[0059] iv) Gamify merit using game theory to remunerate, reward and reward the actions of each employee, whether internal or outsourced, according to the number of "coins" established for each pre-established action in a dynamic way.

[0060] The engine module delivers these results based on the combined analysis of objective and subjective data from different sources, both economic and human, solving the technical problem of accurately assessing performance in real time. These models are established through the cloud module.

[0061] The Mechanism Module has 5 (five) submodules: Simulators, Prospecting, Training, Performance Evaluation and Gamification.

[0062] CRM Module - Client Relationship Management. This module (figure 11) aims to:

[0063] a) Perform as much data processing as possible in the resident module or an optimal processing value that minimizes the time to deliver results.

[0064] b) Minimize the response time for results requested by the user, considering the processing capacity of the local machine used by the user.

[0065] c) Produce relevant information by optimizing all data generated by the company in other modules, ensuring the accuracy of the information and measuring the quality of the action in real time.

[0066] It is also responsible for:

[0067] i) Generate dynamic relevant data from all actions related to its functionality for the Control, People and Mechanism Modules.

[0068] ii) As configured, meet the data demand generated by the Control, People and Mechanism modules,

[0069] iii) Real-time access to all actions related to your functionality, making it more accurate and relevant for strategic decision-making. It allows you to compare CRM data with data generated by the control, people, and mechanism modules, and also integrate with performance KPIs, meritocracy systems, and profitability to measure the quality of the results obtained.

[0070] It communicates directly with the Control, People and Mechanism modules, being able to transfer and receive data, allowing these modules to process such information to carry out concrete, real and in-depth analyses of the business's performance from the following aspects: human, financial, commercial, tax and strategic.

[0071] The CLOUD BLOCK (figure 4) is composed of 1 (twelve) modules and can be implemented in two versions: REAL GAME and GAME TO PLAY (simulation for training and learning purposes).

[0072] Management Interface Module. This module (Figure 6) allows platform managers to: control, monitor, perform necessary platform corrections, input new models, add initial data, and perform all types of improvements and data input necessary to enhance and increase software performance.

[0073] Processing Module. This module processes all information received from each of the other modules, storing it in the database and distributing it to the other modules whenever necessary for the platform to function properly.

[0074] Database Module. This module (Figure 5) consists of more than one database, which stores all information generated by all platform users and other modules, whether in its raw form in the user interface or as information processed by other modules. Data storage can be concentrated or distributed, as long as it optimizes and ensures data security. It can be fed manually by some of the modules or automatically.

[0075] Security Module. This module is responsible for encrypting the information security of all information entering or leaving the platform.

[0076] Communication Module | APIs. This module is responsible for adapting communication protocols according to needs. It acts as:

[0077] a) Transforming the information that needs to be communicated or received to the resident block and cloud modules, as well as other fields of interest, also being able to search and introduce necessary information from any other database.

[0078] b) Adapting communication protocols according to requirements.

[0079] c) Creating APIs and promoting the flow of information.

[0080] AI (artificial intelligence) module AI This module analyzes data related to its functionality and aims to:

[0081] a) Optimize platform data processing.

[0082] b) Optimize data and reduce the response time of results requested by the user, considering the processing capacity of the local machine used by the user.

[0083] a) Receive, analyze and optimize data from all users and make use of AI (artificial intelligence) techniques to determine processes and patterns from user data.

[0084] b) Receive, analyze and optimize data from the manual or automatic input research module to maximize the ability to "think" to offer alternatives.

[0085] c) Use AI (artificial intelligence) techniques to optimize accuracy and offer alternatives and solutions, learning from the data entered over time by all users and through other manual input data in the research module.

[0086] d) Identify relevant points not observed or considered, making it possible, through the use of AI (artificial intelligence), to perceive user behaviors or ways of learning which further optimize the acceleration process of your business.

[0087] This data analysis module using AI (artificial intelligence) applies to all the objectives and results intended by the platform with an emphasis on the items listed: business management, online and offline commercial strategies, people training, performance review, evaluation and creation of performance KPIs, evaluation of customer and lead purchasing profiles, market opportunities, opportunities and creation of new products / services, evaluation and creation of remuneration formats that apply meritocracy.

[0088] Game Module. This module analyzes data related to its functionality and aims to:

[0089] a) Gamify business management and learning through predetermined models in the cloud block to enable, facilitate, and enhance the user's mindset change, developing skills, abilities, and a strategic mindset to make the company grow.

[0090] b) Gamify the platform in two formats: REAL GAME and GAME TO PLAY, making practical business learning available in both.

[0091] The Game module also suggests and provides training based on techniques from mental sciences, applied in the form of games with the objective of training the mind, making it possible to develop brain functions in underdeveloped and undeveloped areas, to promote a practical mindset change.

[0092] Research Module. This module analyzes data related to its functionality and aims to:

[0093] a) Receive information and analyze data being automatically and manually supplied with information from other modules according to predetermined models.

[0094] b) Receive data input from different models that are correlated to the variables considered by the system,

[0095] c) Analyze and observe trends, new studies, market theory findings, and external research to identify successful models that can be applied to the platform.

[0096] The research module also aims to improve:

[0097] i) Learning techniques.

[0098] ii) User experience.

[0099] iii) Acceleration of the business growth process;

[0100] iii) Development of people’s performance;

[0101] iv) Forms of remuneration that stimulate business growth and reward merit;

[0102] v) The effectiveness of marketing in communicating the company with the purpose of attracting new customers, maintaining the customer portfolio and increasing the conversion rate of opportunities into business and;

[0103] vi) Improvement of the platform as a whole with regard to the use of data as a resource.

[0104] Control Module, (figure 8) This module analyzes data related to its functionality and aims to:

[0105] a) Perform as much data processing as possible to optimize and reduce the response time of the results requested by the user, considering the processing capacity of the local machine used by the user.

[0106] b) Present in a single control panel all the data obtained: financial, accounting, commercial and human, optimized to generate information in real time.

[0107] c) The cloud block processes data from all customers, sending it to the AI ​​(artificial intelligence) module, which generates a systemic analysis, suggesting new actions and strategies.

[0108] It is also responsible for:

[0109] i) Measure a business’s production capacity, growth and profitability.

[0110] ii) Carry out prospective analyses.

[0111] iii) Simulate results and generate predictability according to business objectives, providing relevant financial, accounting and commercial information.

[0112] The Control Module has 7 (seven) submodules: Simulators, Purchase Profile Analysis, Network Search, Training, Performance Evaluation, Prospecting and Gamification.

[0113] People Module (Figure 9). This module analyzes data related to its functionality and aims to:

[0114] a) Minimize data processing time in the user interface.

[0115] b) Minimize the response time for results requested by the user, considering the processing capacity of the local machine used by the user.

[0116] c) Send customer data to the AI ​​(artificial intelligence) module, which will perform a systemic analysis to suggest alternatives and action strategies.

[0117] It is also responsible for:

[0118] i) Measure the delivery capacity of each employee,

[0119] ii) Monitor performance and maintain high performance using different behavioral analysis tools analyzed together.

[0120] The People Module has the following 7 (seven) submodules: Simulators, Prospecting, Management, Cognitive Training, MindSet Training, Performance Review, Gamification.

[0121] Mechanism Module, (figure 10) This module analyzes data related to its functionality and aims to:

[0122] a) Optimize the processing of financial, accounting, human, CRM, simulator and various strategy data derived from other analyses such as prospective analysis.

[0123] b) Optimize data input and output, speeding up the response time of the results requested by the user, considering the processing capacity of the local machine used by the user.

[0124] c) Gamify using game techniques and theory to promote healthy competition, encourage profit sharing, retain talent, increase engagement in desired results, stimulate interest in learning and professional development, and reduce idleness and turnover.

[0125] d) Send all data from all customers to the AI ​​(artificial intelligence) module, which generates elements for systemic analysis, suggesting new strategic actions.

[0126] It is also responsible for:

[0127] i) Create, based on a model, a mechanism for company growth, people engagement and merit-based remuneration, measuring each employee's performance and contribution to the company's growth.

[0128] ii) Use financial, accounting and statistical techniques to give weight and price each share, generating a currency specific to the company that will be dynamically assigned to the shares.

[0129] iii) Establish dynamic rules based on meritocracy whose parameters and model are defined in the cloud module.

[0130] iv) Gamify merit using game theory to reward, reward, and award the actions of each employee, whether internal or outsourced, according to the number of "coins" dynamically established for each pre-established action. The mechanism module delivers these results based on the joint analysis of objective and subjective data from different sources, both economic and human. solving the technical problem of accurately assessing performance in real time.

[0131] The Mechanism Module has 5 (five) submodules: Simulators, Prospecting, Training, Performance Evaluation and Gamification.

[0132] CRM Module - Client Relationship Management. This module (Figure 11) analyzes data related to its functionality and aims to:

[0133] a) Optimize the processing of data inherent to all forms of customer relationships (CRM).

[0134] b) Minimize the response time for results requested by the user, considering the processing capacity of the local machine used by the user.

[0135] c) Provide relevant information by optimizing all data generated by companies in other modules, ensuring the accuracy of the information and measuring the quality of the action in real time.

[0136] d) This module in the cloud block processes data from all customers, sending it to the AI ​​(artificial intelligence) module, which generates elements for systemic analysis, suggesting new strategic actions.

[0137] It is also responsible for:

[0138] i) Generate dynamic relevant data from all actions related to its functionality for the Control, People and Mechanism Modules.

[0139] ii) Be configured to meet the data demand generated by the Control, People and Mechanism modules,

[0140] iii) Real-time access to all actions related to its functionality, making it more accurate and relevant for strategic decision-making. This allows you to compare CRM data with that generated by the control, people, and mechanism modules, as well as integrate with performance KPIs, meritocracy systems, and profitability to measure the quality of the results obtained.

[0141] It communicates directly with the Control, People, and Mechanism modules, and can send and receive data, allowing these modules to process information to perform concrete, real, and in-depth analyses of business performance from a human, financial, commercial, tax, and strategic perspective.

[0142] Simulators Submodule (Figure 19) This submodule generates various simulations of growth, pricing, profitability, employee performance, and other factors. This module can generate automatic simulations based on existing data or generate simulations based on manually entered data.

[0143] The Simulators Submodule can be accessed through the Control, People, Mechanism and CRM modules.

[0144] Purchasing Profile Analysis Submodule. (Figure 20) This submodule establishes a profile and behavioral purchasing preferences of customers and leads through a database of surveys developed using measurement techniques. Similar profiles are grouped, and common characteristics are identified so that specific marketing actions can be implemented to increase engagement and sales conversion. Using the Database Module and the AI ​​(artificial intelligence) Module, customer information is processed, generating comparisons and measuring campaign effectiveness, suggesting new actions and approaches.

[0145] This submodule is present in the Control, People, Mechanism and CRM modules.

[0146] Network Search Submodule, (figure 21) This submodule aims to create connections between customers, suppliers and users in a secure environment, with the aim of establishing partnerships, through the use of techniques used to identify behavioral affinities and common interests among users.

[0147] Using the Database Module and the AI ​​(artificial intelligence) Module, all customer information is processed, generating comparisons and analyzing data to increase the effectiveness of what the module aims to accomplish.

[0148] This submodule is present in the Control, People, Mechanism and CRM modules.

[0149] Training Submodule (Figures 16 and 22) This submodule aims to provide a cognitive and mindset training environment. Learning acceleration processes and techniques are used, using multimedia resources and gamification.

[0150] Using the Database Module and the AI ​​(artificial intelligence) Module, all customer information is processed, generating comparisons and analyzing data to increase the effectiveness of what the module aims to accomplish.

[0151] This submodule is present in the Control, People, Mechanism and CRM modules.

[0152] Performance Evaluation Submodule (figure 17) This submodule aims to evaluate performance, specifically measuring the delivery capacity of each employee, considering performance KPIs among other relevant data obtained and contained in the platform.

[0153] Using the Database Module and the AI ​​(artificial intelligence) Module, all customer information is processed, generating comparisons and analyzing data to increase the effectiveness of what the module aims to accomplish.

[0154] This submodule is present in the Control, People, Mechanism and CRM modules.

[0155] Management Submodule (figure 18) This submodule aims to collect specific data from the Control, People, Mechanism and CRM modules and generate an agenda of activities related to training in general, dismissals, admissions, recruitment and selection, performance review, among other activities related to the company's human capital.

[0156] Using the Database Module and the AI ​​(artificial intelligence) Module, all customer information is processed, generating comparisons and analyzing data to increase the effectiveness of what the module aims to accomplish.

[0157] Prospective Submodule (figure 23) This submodule aims to anticipate and ensure greater predictability for the entrepreneur, whether in a crisis situation, growth purpose or identification of psychological effects of the consumer that reflect in the market decline or its complete disappearance.

[0158] This submodule is a tool for optimizing data from various sources, including existing market profile models, which can be used to identify potential crises in the user's market and find solutions and alternatives to address them. It can also be used to establish future business growth objectives.

[0159] A system of techniques is used in a road map process to establish: clear and specific objectives, reaction time, planning and execution time of actions, start of the process, necessary resources, identification of people within the organization with skills and a suitable profile to act in a given targeted situation.

[0160] Using the Database Module and the AI ​​(artificial intelligence) Module, all customer information is processed, generating comparisons and analyzing data to increase the effectiveness of what the module aims to accomplish.

[0161] This submodule is present in the Control, People, Mechanism and CRM modules.

[0162] Gamification Submodule (Figure 24) This submodule aims to gamify the Control, People, Mechanism, and CRM modules using game theory. By optimizing data and following pre-established rules, a competitive environment is created with rewards and an engaging leaderboard.

[0163] Using the Database Module and the AI ​​(artificial intelligence) Module, all customer information is processed, generating comparisons and analyzing data to increase the effectiveness of what the module aims to accomplish.

[0164] REAL GAME version. The REAL GAME version (Figure 7) allows users to utilize this feature in their business in three ways: play against themselves, even simulating the results for later application; play against the machine, which creates a competitor avatar based on established goals or other users' performance data; and play online (on the network) with other competitors in the same segment who, like them, are anonymous players from different locations who also use our platform.

[0165] The user (player) begins to see their business as a highly competitive game whose gamification features make their choices strategic. The user (player) is educated to use data to make choices with greater speed, quality, and assertiveness.

[0166] Using primarily the Database, Security, and AI (Artificial Intelligence) modules, users have access to optimized data with secure results and parameters to play their business game more effectively and assertively. They share knowledge and experience with other users (players) anonymously using AI (artificial intelligence) applications.

[0167] GAME-TO-PLAY version. The GAME-TO-PLAY version (figure 12) is the game-only version, designed to develop strategic business management skills and abilities.

[0168] This game version educates, transfers knowledge and helps the player (user) identify their skills, competencies and abilities necessary to be an entrepreneur.

[0169] The player (user) can choose to create their own startup and / or inherit an existing company. In both situations, the player (user) is immersed in a gamified environment that provides them with all the challenges of a real-world business, as it uses the user database from the Real Game version and databases entered into the system for this version.

[0170] The Game to Play version offers extensive resources for mindset shifts and communication skills development, such as influencing, listening, choosing, mediating, negotiating, and leading. All of these resources enhance your cognitive, functional, and behavioral capacity for strategic business management. One of the training tools, also available in the REAL GAME version, provides training to enhance areas of the brain with low or no functionality, training the mind to perform better with less effort, as it increases control over powerful emotions.

[0171] The GAME TO PLAY version provides, within the platform, the possibility of playing against yourself, against the machine or online with other players who use the platform. Table 1: Description of Figures Table 1: Continued PREFERRED MODALITIES

[0172] The first preferred embodiment of the present invention is to implement it with all the modules described (as shown in Figure 1) in the order of control module, people module, and mechanism module. In this embodiment, the resident block performs simpler operations directly with the user, and the cloud block, which can be constantly updated with new models and information, provides the resident block, and consequently the user, with results, training processes, and strategies for more complex actions that depend on the use of all the modules of the cloud block.

[0173] A second preferred embodiment is the present invention implemented solely with the resident module. In this case, real-time updating of information and models is compromised; however, the process gains in simplicity and market competitiveness.

[0174] A third preferred embodiment is the present invention implemented with only the control module without the people and mechanism modules.

[0175] A fourth preferred embodiment is the present invention implemented only with the people module without the control and mechanism modules.

[0176] A fifth preferred embodiment is the present invention implemented without the control and people modules.

[0177] In a sixth preferred embodiment, essential parameters and variables are visualized, and the relationship between them can be determined from external information. These sets of external information can be added to either the Resident Module or the Cloud Module.

[0178] A seventh preferred modality is the present invention implemented without gamification, being just a data analysis of everything it proposes to deliver.

[0179] An eighth preferred embodiment is the present invention implemented only with the virtual game part - Game to Play, which allows simulating the entire business management process of a business, developing and improving users' skills in strategic management.

[0180] A tenth preferred embodiment is the present invention implemented in its entirety in the Real Game version with specific focus on the prospective submodule.

Claims

CLAIMS 1. Data Optimization Process for Learning, Development and Business Acceleration characterized by being implemented by a computer program and composed of 2 blocks, a resident block, which is composed of 9 modules: User Interface, Processing, Database, Security, Communication / APIs, Control, People, Mechanism and CRM - Client Relationship Management, and a cloud block composed of 12 modules Management Interface, Processing, Database, Security, Communication, Artificial Intelligence / I.(Artificial Intelligence), Game, Research, Control, People, Mechanism and CRM - Client Relationship Management, where in particular the Control Module is responsible for collecting business information and is composed of 7 (seven) submodules, namely: simulators, purchase profile analysis, network search, training, performance evaluation, prospective and gamification and the People Module is composed of 7 (seven) submodules, namely: simulators, prospective, management, cognitive training, mindset training, performance evaluation and gamification and the mechanism module is composed of 5 (five) submodules: simulators, prospective, training, performance evaluation and Gamification and all these modules and submodules together optimize the processes involving the business, people, resources and objectives.

2. Data Optimization Process for Business Learning, Development and Acceleration according to claim 1, characterized by combining a control module, dedicated to collecting a set of predetermined economic and financial data and generating economic and financial measurements from this data, a people module dedicated to collecting personnel data in the same set of activities as the control module and producing measurements with this data in a predetermined way by models previously developed, programmed and tested in the cloud block and a mechanism module responsible for relating the data from the other modules, from models previously developed, programmed and tested in the cloud block.

3. Data Optimization Process for Learning, Development and Business Acceleration as per claim 1, characterized by being implemented without the cloud block.

4. Data Optimization Process for Learning, Development and Business Acceleration as per claim 1 characterized by being implemented without the people and mechanism modules.

5. Data Optimization Process for Learning, Development and Business Acceleration as per claim 1, characterized by being implemented without control modules and mechanisms.

6. Data Optimization Process for Learning, Development and Business Acceleration according to claim 1, characterized by making use of a prospective analysis module that stipulates parameters or future goals for the People and Control modules and, through predetermined algorithms in the cloud block, sets intermediate goals, from the future to the present, for the main variables of the people and control modules.

7. Data Optimization Process for Learning, Development and Business Acceleration according to claims 1 and 6, characterized by being implemented with a Games module responsible for suggesting to the user predetermined games, developed and tested in the cloud block, based on game theory models, both to encourage the user to follow optimization strategies chosen by him / her and to implement strategies determined by the prospective module.

8. Data Optimization Process for Learning, Development and Business Acceleration as per claims 1 and 7 characterized by having the cloud block implemented in two versions, a real version and a simulation version for learning and capacity development purposes.

Images