Homework answers / question archive / Has-MSI-alok-150 words Supply Chain Management includes the management of different procedures ranging from the procurement of supplies to the manufacture of goods and then to supply of a completed product to the consumer and plays a critical part in fulfilling customers’ expectations

Has-MSI-alok-150 words Supply Chain Management includes the management of different procedures ranging from the procurement of supplies to the manufacture of goods and then to supply of a completed product to the consumer and plays a critical part in fulfilling customers’ expectations

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Has-MSI-alok-150 words Supply Chain Management includes the management of different procedures ranging from the procurement of supplies to the manufacture of goods and then to supply of a completed product to the consumer and plays a critical part in fulfilling customers’ expectations. As a result, it is a basic requirement of every enterprise. One of the most desirable quality for consumers of a specific product is its performance. The supply chain itself is made up of a number of intermediary phases that must be completed in order to provide the desired commodity to the consumer. Naturally, some error in any of the intermediate phases will cause a whole procedure to be delayed, resulted in a dissatisfied consumer. This will result in a lack of sales for the company and is consequently important (Ouyang, & Li, 2010). The Covid 19 has arrived at an exciting period when the economy is on demand. Throughout the past, consumers will depend highly on the salesman for the importation of a specific commodity they were interested in. However, consumers of this age are far more aware of their criteria that have fueled the on-demand economy. Because of the pandemic, companies have been compelled to reconsider their supply chain models in order to meet consumer needs effectively in the modern economy (Shokrani et al., 2020). The 'Bullwhip Effect' is another concept which has gotten a lot of attention recently. When so much emphasis is placed on market projections, this influence has a negative impact on supply chain efficiencies. Many producers depend on a variety of vendors for various sections that must be manufactured to produce a final product. Demand predictions will suppress manufacturers' competitiveness by forcing them to address tough questions like which producer should be prioritized during a shortage, which product to stock, but which product to import from some other source. As a consequence, there may be a backlog in the supply chain, leading to longer wait times for consumers. Increasing supply chain exposure and coordination may help to correct skewed demands and potentially counteract the bullwhip impact (Shokrani et al., 2020). Has-MSI-kiran-150words Supply chain management has been an integral part of all industries for many decades now, but its importance was brought to the forefront when COVID-19 hit the world. As panic started to surmount overnight, there was a crippling demand-supply mismatch as people started stockpiling essentials, with necessities like cans of beans or rolls of toilet paper, as well as essential medical supplies like hand sanitizers, N95 masks and gloves vanishing overnight and remaining in short supply for many months to follow. But what is supply chain management? It is essentially the process of strategically planning, mapping, monitoring, and controlling the flow of materials across point A to point B – typically the manufacturer to the end customer. Maintaining quality control and ensuring on-time delivery through multiple distribution systems are vital pillars supporting supply chain management on the customer’s end and the organization’s end. Trying to meet those two goals while ensuring efficiency in cost-allocation and profitability is what makes a successful supply chain. While those are seemingly fixed variables, they are constantly impacted by the fluctuations in demand and supply. (Lee, Padmanabhan & Whang, 1997). Every year, the bullwhip effect causes companies worldwide to lose millions of dollars because of excess inventory and lost sales opportunities. It is a phenomenon where small fluctuations in demand at one level end up causing more significant changes in demand at all levels before it. So for a B2C channel, a seemingly small increase of 1% at the retailer’s level would end up causing a more significant growth at the wholesaler, distributor, manufacturer and raw material supplier’s levels, with it increasing exponentially with each passing grade in its upstream effect. This ripple effect flows both in the sense of increases as well as decreases in demand, and an incorrect forecast in how much demand is to be catered to vs how much will be sourced from existing inventory can lead to shortages, dissatisfaction, fiscal loss, and delivery delays at a large magnitude. Nav-harin-150 words Risk: In the enterprise security posture management (ESM) industry, these terms include cybersecurity risk, network security risk, and business security risk. Threat: To manage and provide to employees and to the customer the level of threat that they can anticipate to their products or services and their business. Vulnerability: The level of vulnerability to theirproducts or services or theirbusiness that they can predict to theirproducts or services or theirbusiness. Impact: The potential impact to theirproducts or services or theirbusiness is that theycan anticipate their products or services or their business andtheircustomers. Asset: For organizational purposes, to be designated an asset. An asset may be a computer, server, network, product, or service which theycannot use or sell. In the enterprise security posture management (ESM) industry, these terms include business risk, data, physical assets, and intellectual property. In the financial technology, insurance, and insurance industry, these terms include financial risks, risk of loss, physical assets, and information technology assets (Ghanbari et al., 2020). Risk includes the risk that unauthorized users can exploit system vulnerabilities. A vulnerability is a weakness in an information system or a data system used to protect information assets. The information systems that support the protection of assets are subject to attacks by outsiders that could harm the assets and affect the organization’s financial performance. Threats to an information system or information system component involve the possibility of a loss of revenue due to damage caused by hackers. Vulnerability includes the possibility of disclosure by users, information processing systems, or other entities and potential exploitation through misuse, negligence, or fraud. Information systems are subject to the continuous risk of failure (Scholz et al., 2020). The threat/risk management process is a vital function within an organization. It ensures that the organization's risks are identified, managed, and mitigated in a manner that protects the organization’s assets. In this process, all assets,financial, physical, and human, are linked in some way to each other and the revenue or expense center of the corporation (Scholz et al., 2020). Nav-ravindar-150 words Organizational Security Posture Risk This can be defined as an expected future occurrence from the normal working affecting it either positively or negatively resulting in unplanned consequence. Within an organization structure, it is vital to understand an organizational full security scope to correct any breaches into companies vital data (Esteves, Ramalho & De Haro, 2017). The more resilient organization in its security posture the more prepared on risk aversion and greater its cyber-resilience. Threat External forces that potentially harm an organization's success by invading its vital pillars for its success. These could be adverse competition from rivals or a breach of the company’s data. Companies consciously face new forms of threat as a computer hack, malicious codes, and worse, denial-of-service strikes on the company’s credentials (Scully, 2014). Companies take precautions by preparing a response team to react to system compromise until normality is settled. Vulnerability This is a weakness within an organization resulting from a mistake within its building structure that can be exploited thereby allow access to sensitive data compromising it (Scully, 2014). Organizations make prior checks to the company’s cyber security issues correcting them and place in position trackers to their system reporting to response teams for continual assessment. Asset A resource owned by a company with monetary value that it controls for its economic advantage. Companies use their assets to aid in making ideal purchasing decisions to increase the overall value of their customer’s funds (Esteves, Ramalho, & De Haro, 2017). Assets are used to determine a company’s worth value as compared to competitors Nag-rama-150 words Security Design Principles The Least Privilege design principles require a moderate way to deal with giving client access rights to explicit tools and data. Moreover, the access rights ought to be time-based as to confine assets bound to the time expected to finish fundamental tasks (Stallings, 2017). The ramifications of giving access past this extension will take into account pointless access and the potential for information to be refreshed out of the endorsed setting. The allocating of access rights will confine the framework harming assaults from the users, whether they are purposeful or not. This principle endeavors to constrain information changes and keeps potential harm from happening by mistake by lessening the potential resources interactions. The Fail-Safe Defaults design principle relates to enabling access to assets dependent on allowed access over access prohibition. This principle is a technique for enabling assets to be gotten if express access is allowed to a user. As a matter of course, clients don't approach any assets until access has been allowed. This methodology keeps unapproved clients from accessing assets until they gain access. Security posture is legitimately identified with business exercises. For example, new item dispatches, new venture commencement, advertising public statements, executive activity, and particularly any business disappointments. Systems protection is the craftsmanship and specialty of applying data security principles, structure goals, and access controls to accomplish a specific security act (Boele?Woelki, Fisher, Pape & Francisco, 2019). The investigators must have a firm handle of essential computer security goals for integrity, confidentiality, and availability. The use of these services should be based on detect, protect, and react paradigm. Organizations need to anticipate assaults and incorporate assault discovery devices and systems that enable them to respond to and recoup from these sudden assaults. Nag-manoj-150 words Security Design Principles Security design principles are reviews used to develop a secure system by preventing security flaws and preventing unwanted system access. Such principles are useful during the integration of security elements into a system. Such principles allow the system to achieve the previously-defined security elements on the basis of the generic architectural models (Neha, 2020). A comparison and contrast of the principles should help clarify tow close and constantly confused design principles such as separation of privilege and least privilege. The least privilege principle conditions that every user should be allowed access the system with the limited privileges he or she needs to essentially perform their assigned or desired task. On the other hand, the separation of privilege principle stipulates that a user should not be allowed system access based on a single condition/attribute but multiple conditions/ situations/attributes that should be verified before the access is granted (Neha, 2020). Rolebased access control is one way to consider and implement the principle of least privilege because it helps in discovering and describing numerous roles of the processes or users. On the other hand, multifactor user authentication is an example of the principle of separation of privilege because it requires the implementation of multiple techniques to authenticate the user. Both principles are crucial IT security concepts that help organization to prevent users from abusing the systems. Both principles are also crucial element of the access control topic and debate because they involve restricted user access and computer security (Lopez & Rubio, 2018). Both principles focus on ensuring that only the right users is allowed the essential privileges to perform their roles and duties without circumventing security controls. Xav-sreekar-150 words Predictive Analytics and Descriptive Analytics are kind of opposite to each other. Predictive Analytics is used to predict the future data using the historical trend of the data. It provides information about the information based on the information from the past (Adair, 2021). Different algorithms along with statistical models using machine learning will be implemented to identify the correlation between the various data sets. For example, predicting the credit score based of the historical payments made by the customer. Also, predicting the product revenue and its growth in the retail market (Adair, 2021). Descriptive Analytics is used identify the current situation of the business in the market thereby identifying the root cause analysis to interpret the information to stakeholders on what conditions did the situation occurred (Adair, 2021). The historical data is then converted into understandable format such as tables and charts to present the trend based on the past data. For example, to analyze a pattern in ecommerce business before launching a product to determine the suitable time period to ensure the success in the market. Prescriptive Analytics is to identify and predict a decision or to perform a course of action based on the current and historical data thereby providing suitable suggestions (Adair, 2021). It is to estimate a trend which by foreseeing into the future which be recommendations based on the data available using machine learning algorithms and modeling. For example, in an ecommerce plat to make enhancements on a particular product such that to increase the sales and revenue in the market. Xav-akhila-150 words Predictive, Prescriptive, and Descriptive Analytics There are various types of analytics which include; predictive, prescriptive, and descriptive analytics (Shankar, 2019). Predictive analytics analyses data to predict the future, prescriptive analytics analyzes data to make recommendations and informed decisions. Descriptive analytics analyzes historical data to establish what happened in the past and what is currently happening in a business. All three analytics are similar because they use historical data; for example, for a business to predict future sales, it must analyze the historical sales. For a business to make recommendations about business transactions it must analyze the past records and for a business to describe the specific business situation it must use past data. All three analytics are beneficial to an organization because they create information that is very useful for the decision-making process in an organization (Shankar, 2019). The three analytics are involved in the analyzing and processing of huge data sets. The approach taken by descriptive analytics is reactive because it involves analyzing events that have already happened, whereas predictive and prescriptive analytics take a proactive approach because they involve actions initiated to handle future events. Descriptive analytics is very accurate because it gives details of data that already exists; for example, a summary of past details about a company’s sales will be accurate, unlike predictive analytics, which gives details of what might happen (Lepenioti et al., 2020). For example, predictive analytics can predict that sales will increase in the next year. The information is not accurate because this is just a forecast. Examples of how descriptive analytics is being used in businesses include; summary of revenue for a company and a summary of social media usage. Instances of when predictive analytics is applied in businesses include; identifying fraudulent activities in businesses such as banks and predicting customers that are likely to exit an organization (Deshpande et al., 2019). Instances of when prescriptive analytics can be used include; reducing transaction costs and inventory control. Xav-snehaD2-150 The process that generates the power of AI Artificial Intelligence (AI) is concerned with studying human thought processes and representing and duplicating these thought processes in machines (Sharda et al., 2019). In today's world, every company is striving to make their devices smarter hence they have started to use multiple AI techniques. Some of the AI components are machine learning, deep learning, augmented reality, speech understanding, personal assistants, autonomous vehicles, etc. AI is being used to make people's lives convenient by mimicking the human thought processes in machines to perform repetitive tasks. As compared to manual labor, the cost of AI machines is significantly lower. Also, AI helps in increasing productivity by automating certain components. Thus, companies tend to spend billions on AI and gain a competitive advantage. Technologies like cloud computing also assist in the development of AI. These are some of the factors and in the process that generates the power of AI. Difference between machine learning and deep learning Machine learning is a subfield of AI, where the machines take data as input and "learns" from that data themselves. It is a popular and promising tool of AI in business. ML systems quickly apply knowledge and training from large data sets and optimize performance (Reese, 2017). Applications of ML are seen in facial recognition, speech recognition, object recognition, etc. ML allows systems to recognize the patterns within the data and make predictions. Deep Learning is a subfield of machine learning. Deep learning uses ML techniques to solve real-world problems and uses neural networks that simulate human decision-making. Deep learning needs more huge datasets to learn the neural networks accurately and is expensive (Reese, 2017). The number of parameters and factors needed to understand by the learning algorithm to avoid false positives. Deep learning is used in businesses such as Google for street view detection, spam detection, etc. Xav-adityaD2-150 The Internet of Things (IoT) is said to assist in the generation of more power for Artificial Intelligence (AI). Large amounts of data, also known as Big data, are responsible for giving Artificial Intelligence (AI) more control (AI). AI analyzes data structures using big data, which aids in process automation and improves AI's capabilities. Computing power is increasing, and algorithms with complex patterns are assisting in the generation of AI power. Automated computer systems in AI are intended to supplement human ability (Ongsulee, 2017). Deep learning, which uses neural networks to explore data correlations across many layers, has expanded the potential of Artificial Intelligence. The strength of AI is also improved by neural networks, which employ a variety of techniques to improve accuracy through deep learning. Difference between machine learning and deep learning: Deep learning, a subset of machine learning algorithms inspired by the biological method of neural networks, is gaining traction in a variety of fields and outperforming traditional machine learning algorithms (Kumar, Vaibhav & L., M.. 2018). The following are the main distinctions between machine learning and deep learning. Machine Learning: The user manual that is used to train the model will pick the features in the machine learning workflow. When discussing machine learning, deep learning is not included. Different approaches used in machine learning include decision trees, ensemble models, and support vector machines. Machine learning employs automated algorithms to forecast upcoming events. Predictions are rendered based on the data fed to the computer as input. The researcher uses various algorithms to analyze the variables that are present in the data sets in this methodology. Machine learning normally produces a numerical value as its product. Deep Learning: Unlike machine learning, the deep learning algorithm can automatically learn certain features that are needed for the model. Deep learning employs approaches such as recurrent neural networks, deep Q networks, and convolutional neural networks. Deep learning is a branch of machine learning, according to others. For data processing, deep learning algorithms are self-directed. Deep learning can produce any kind of result. Chai-ET-ankith-150 Cloud computing is getting very popular among the organizations now days as it provides different services through internet, like, data storage, networking, and servers. Basically, the cloud computing creates a storage for the database remotely which in a way makes it easier to access the data from any location until one has the internet connection (Giri & Shakya, 2019). Cloud computing has several benefits, but they are also attached with the threats and vulnerabilities. Organizations still are trusting on the cloud computing as the benefits of cloud computing I feel are somewhere helpful in overcoming the possible threats and risks involved in cloud. Cloud computing reduces the cost of the organization which is spent on the hardware and the server spaces and also on the workforce that is required to maintain those server rooms, which is a great advantage for any business also the benefit of accessing the data from anywhere and anytime makes it convenient for users as they don’t have to wait to physically present at the location to get the data or required information which surely saves the time of users (Sharma et al., 2017). Though the security risks of cloud computing are a concern for the organizations but the security measures like encryption technology can very well manage those issues; and the availability of internet connection is very normal now days due to the smart phones and mobile networks. All the security measures related to cloud computing are made easy and cheap by the use of a large scale. In other words, for the security protection to be better and strong enough, then the IT department has to invest a lot of money in it. The money needed is used in the impr0ovement of services like filtering of services provided, managing the patch among others. With a large scale, the IT services can be distributed to different places so that they are near the consumers. This proximity to the consumers provides less time to respond to any threat to the users. Cloud computing enables cloud computing updates and defaults to be delivered efficiently, effectively, and within a limited time. These are made easy by the default virtual machine and software modules that are available to the consumers. Also, APIs is ensuring that snapshots of virtual infrastructure is taken regularly and then make comparisons with the baseline. According to my, these cloud computing benefits are worth the threats and vulnerabilities (Tabrizchi & Rafsanjani, 2020). Chai-ashok-150 Cloud computing is the supply of computing services and functions, such as activities of the server, storage functions, databases, networking system and function, a software function, analytical matters, and intelligence facts and matters over the internet function to give faster innovation of the goods and services, utilization of the flexible resources, and economies of scale in procedures. An individual pays only for cloud operations and functions one utilizes, helping to decrease one's operating expenditure, act one's infrastructure effectively and scale as an individual's business and enterprise demands transformation (Kim, 2016). We shall now discuss that the benefits of cloud computing are essential to the threats and vulnerabilities. But at first, the benefits of cloud computing are as follows: Cloud computing tools and technology decrease information technology expenditures. Can scale down or scale up one's functions according to scopes as found in marketing and business, it helps to run and continue business environment as it saves data and system of the marketing and business (BERTOLINO, 2019). Now we shall discuss the threats and vulnerabilities of cloud computing. They are as follows: Cloud computing comprises scarcity of data and information visibility, data and information stealing by malware, data and information breaches by the cybercriminals, confidential data, and information management, etc. By discussing all these matters, we can conclude that though there are many threats and dangers attached to cloud computing technology, the functions and services that it delivers are more significant in the number of its parts. That is why the benefits of cloud computing are worth more than the threats and vulnerabilities. As we are heading towards more modernity, more complexities are arousing in marketing and business. But to satisfy the customer, the needs and demands of the customer, to provide more functions and most importantly, to expand the business, one must belief another external agency to look after the confidential data and information of that company’s employees or any secret contract (Gaik-Yee Chan, 2016). Mala-sakshi-150 Organization Changing Event One major event that changed the operations of many healthcare organizations was COVID-19. I currently work in the foster care system, where we have youth living in the residential campus that did not have foster homes. This event was very tough financially as the organization had to provide much training and protective equipment for staff that was necessary. Additionally, there were a lot of hiring done during this time because they kids were on the campus 24/7, were not able to go to school or anything. This involved having to have a plethora of staff to take care/watch the kids, and enough coverage for when some staff got sick. Additionally, many foster case organizations had decreased financial support during this time, leading to the inability to provide adequate services for the youth and employees (Wilke et. al., 2020). On a positive note, there was a large sense of community and communication during this time, which led to large relationship building between the staff (Wilke et. al., 2020). Financial Management Core Competencies Financial management is the idea to utilize theory, concepts, and tools to help management make better financial decisions for their organization (Pink & Song, 2020). In the healthcare setting, financial management can be seen with non-profit organizations, third-party payer system, and external government involvement (Pink & Song, 2020). Good financial management will allow an organization to improve patient care, increase revenue, and minimize risk (Greener, 2020). Proper financial management in healthcare organizations will allow for an efficient gather and use of resources in the setting (Forgione et. al., 2018). Additionally, the organization will be able to budget their expenses better and provide for better care for their patients by allowing for effectiveness in their care (Forgione et. al., 2018). Assessing for financial management can assist the healthcare organization in understanding the operating costs and making strategic decisions on the best method to increase profitability, decrease care cost, and increase patient care (Issel et. al., 2015). Increasing patient care could be decreasing the amount of stay needed, decreasing the cost of service, or providing better overall care (food, bed, housing, etc.) (Issel et. al., 2015). Kon-karuna-150 The Healthcare industry is a complex industry where the personals are required to gather as much data as available, come up with new technologies that would help in better treatment of patients, and work according to the value-based care model. It is also important for healthcare executives to be competent in financial management (Jones, et al., 2018). It is with the help of financial management that patient care can be improved. It further helps in the minimization of risks, and come up with the required investments. It is essential for healthcare sectors to be able to come up with better financial management to be able to ensure the smooth functioning of the organization. For every organization to be able to function smoothly, it is essential for them to manage finances. Healthcare sectors are required to manage the finances of the organization in such a way that they are able to meet the financial goals and objectives of the organization. It is with the help of better financial management that healthcare sectors are able to provide better health services to patients (Mayorskaya, et al., 2020). The activities that are required to be adopted by the healthcare executives are proper planning, evaluation of the finances, long-term investment decisions, working capital management. It is with the help of financial management, that the healthcare sectors are able to enhance their profits. Every organization requires profits to be able to function properly. The healthcare sector is also in need of profits to be able to provide the required treatment and diagnosis to the patients (Valieva et al., 2020). It is with the help of financial management that the Healthcare sector is being able to ensure that competitive advantage can be gained. This is because it is with the help of proper financial management that the healthcare sectors will be able to have enough money to get hold of the required equipment that is naturally for providing better treatment. When the Healthcare sector is able to provide better treatment and have all the updated equipment with them, they are able to gain market reputation (Prasad, et al., 2018). Konda-vignan-150 The reasons to choose a career in sales Sales provide a challenging and a rewarding career. In fact there are compelling reasons to opt for a career in sales. The main reason why people opt for a career in sales is the enormous earning potential. An organization tends to value effective sales personnel and do not mind rewarding them. Some type of sales job is based on commission meaning that you earn more if you sell more. If you are proficient in your job, it can lead to higher paychecks. Whichever career you are likely to choose sales ability works out to be a future centric asset. Be it any type of job you need to have an ability to influence people. Sells connotes a situation where you can sell your ideas to others, possess the ability to interact clearly. Even it helps you overcome different types of personality along with challenges. Such skills enable you to climb new frontiers on the career front. A degree might not always be the route to success. Some type of sales job require a degree whereas it does not seem to the case always. It provides an excellent opportunity for someone who is looking to earn some quick bucks right after their graduation. Most of the organizations or business require sales personnel, which means that the job opportunities in sales tend to be abundant. As per yearly projections the amount of sales job is bound to increase with every passing year. A career in sales advocates a problem solving approach (Allen et al., 2017). Opting for a career in the sales domain does appear to be one of the most versatile choices that you may make. The products or services that are available on the store require the expertise of sales personnel to sell them. If you figure out that there is a particular product or service that is of interest to you then you can sell them. People who are well versed in sales tend to have superior qualities like communication. If you happen to use all these qualities to your advantage there is hardly going to be a few people who would resist you. It is an obvious fact that a career in sales advises you to take a proactive approach (Macintosh & Krush, 2017). People love the flexible job hours that a sales job provides. However, take note of the fact that not all sales jobs is going to provide you with a flexible work schedule. If you feel that a flexible schedule is important for you then a sales job is not a bad idea. Then it is better to avoid a sales job where you need to be at a store. Kon-monisha-150 The most interesting concept this week was learning the difference between Marketing and Sales. While the two business functions are closely related and have similar objectives, marketing is a broader concept and sales is only a component of marketing (Futrell, Agnihotri, & Krush, 2019). However, customers often mix them up and confuse one for the other. Marketing encompasses all activities that a firm undertakes to communicate with their customers and engage them to improve their brand image. Sales is the final stage that helps companies convert leads and opportunities to revenue (Marshall, 2020). Sales is a profession that requires an individual to communicate efficiently, effectively represent the selling organization and uphold its values, and diligently serve the customer. A successful salesperson needs to connect with the customers, understand their needs and challenges, and offer solutions that meet the demands and preferences of the customers. The sales profession provides individuals with an opportunity to solve people’s problems and improve their lifestyle. The sales function also helps companies bridge the gap between their product/service offerings and customer demands (Futrell, Agnihotri, & Krush, 2019). Sales has always been a popular profession that is known to be accessible to all and also known to be extremely lucrative. I believe that a person’s career choice is driven by his/her behavioral characteristics, personality, traits, personal objectives, and skills. People who choose the sales profession may do so because of their outgoing personality, people skills, problem-solving ability, strategic thinking skills, or even their competitive personality. In most cases, people who have a passion to serve people, understand their needs and make new connections choose the sales profession. As selling requires people to travel to different locations to grow the company’s customer base, people who like traveling, exploring new cultures, and who are open to trying new things are more likely to choose sales as a profession. Being in the sales profession teaches individuals many transferrable skills such as interpersonal communication skills, the art of persuasion, active listening, creativity, adaptability, trustworthiness, work ethics, etc., making it the most sought-after profession. Being in sales not only gives people the opportunity to work with different business units such as product design, marketing, finance, etc. but also gives them the chance to interact with customers from different backgrounds, industries, and verticals, making the work experience diverse and interesting. Hence, people who like to constantly learn and evolve may choose to work in sales for a rewarding experience. Earning on a commission basis gives the sales profession a high earning potential making it financially attractive, which is another important reason for people to choose this profession. In addition to this, salespeople often have the benefit of flex hours and the ability to set their schedules based on their customer's availability. This gives salespeople a better work-life balance, increasing the profession’s attractiveness (Indeed, 2021). Prana-tharun-130 The purpose and Calculation of the 3-F Method In organizations, cloud computing and big data are two current driver technologies that seek to make firms more productive and competitive in their industries. Cloud computing delivers reliable and available services for organizations by providing a platform with current capabilities to support 24/7 services demanded by customers at their convenience. Big data provides information that helps the organizations gather insights into effective performance through the patterns observed from the consumers of the organization's services. These patterns inform the organization where it can improve to make its services more friendly and convenient. The 3-f Method analyzes the brain gain index in a country to determine its demand for new talent introduction. The demand for top talent in big data and cloud computing is one of the current considerations in countries and corporations. For instance, Zhao et al. (2017) surveyed China's brain gain index and used the 3-F Method and found China's brain gain index value for big data and cloud computing to be 2.61. According to Zhao et al. (2017), the formula, Iik = (Twk / Tik) / (Pw / Pi) gives the brain gain index. In the formula, Ik stands for the brain gain index value of the country we are calculating the brain gain index. K represents the field. Twk is the world's top talent in the field, and Tik is the top talent in the study country Pw is the world's population while Pi is the country's population. From the formula, the conclusion is the existence of fewer top talents in a field when Iik is more than 1. In contrast, an Iik of less than one depicts more top talents in a given field (Zhao et al., 2017). Pra-ananta-150 Implementing the 3 F approach requires different individuals with index calculation skills and knowledge based on the talent introduction demand. The company ensures they focus on a specific field based on the keywords selected. Secondly, the consideration of the keyword allows the management to develop a special scientific approach (Gao et al., 2020). Thirdly, the development of the brain benefit index allows the company management to create different strategies and handling operational needs by limiting the threats interfering with the individual talents. Moreover, talents concentrate on the keywords to develop literature and enquire essential information that helps in analyzing the application and maintaining an introduction approach for the specific nation with the required talent. Innovation-driven growth requires an individual with the required talents in cloud computing services and big data analysis. implementing an industrial transformation approach and analyzing the essential information allows the company to identify the ecosystem (Soegoto & Chandra, 2018). Therefore, developing the 3 F approaches provides essential information in describing the top talents and creating different bibliometrics for the estimation of the top student performance measurement. The evaluation of the talents and the interpretations on research on handling the performance analysis. The company management should create a review on the talent and measure the researcher’s ability to obtain essential information in achieving the set goals and objectives. Ultimately, science mapping requires business management to generate essential information on specific research and analyze the information based on social framework leading to a successful goal’s achievements (Wu et al., 2018). The application of big data analysis allows business management to monitor and review the information using the keywords used in the context. Cloud computing services and the internet of things have enhanced technology performances and leading to a successful big data analysis. Cloud computing allows IT, users, to focuses on Big Data Analytics and Management Tools for the generation of data sources successfully.