Description:
FORM 2
THE PATENTS ACT, 1970
(39 of 1970)
&
THE PATENT RULES, 2003
Complete Specification
(See section 10 and rule 13)
1. Title of the Invention: HUMAN RESOURCES MANAGEMENT THROUGH HR ANALYTICS AND ARTIFICIAL INTELLIGENCE
2. Applicants

Name
Nationality
Address
Dr. Madhuri Golla
Indian Ward Education secretary, Narsapur Municipality, Municipal administration, Narsapur, West Godavari District Andhra Pradesh, India.
Dr. Rita Biswas Indian LLB, MBA (HR), PhD (Management), Senior Facilitator, Regenesys Business School, Kolkata, West Bengal, India.
Dr. T. Milton Indian DEAN - Tourism & Hospitality Management, Bharath Institute of Higher Education and Research, 173, Agaram Road, Selaiyur, Chennai, Tamil Nadu-600073, India.
Dr. Shital Kakad Indian Assistant Professor, Artificial Intelligence and Data Science, Vishwakarma Institute of Technology Pune, Maharashtra, India.
Akanksha Patil
Indian Assistant professor, Computer Engineering, Pillai HOC College of Engineering and Technology, Rasayani, Rasayani, Maharashtra, India.
Dr. Shital Dongre Indian Associate Professor, AI&DS, Vishwakarma Institute of Technology, Pune, Pune, Maharashtra, India.
3. Preamble to the description:
The following specification particularly describes the invention and the manner in which it is to be performed.

4. DESCRIPTION
FIELD OF THE INVENTION
This invention uses advanced analytics and AI algorithms to optimise HRM systems, methods, and technologies. This field applies to talent acquisition, performance evaluation, workforce planning, training and development, employee engagement, retention tactics, and HR policy optimisation. HR analytics and AI improve decision-making, operational efficiency, and strategic efforts to better manage human resources.

BACKGROUND OF THE INVENTION
A wide range of businesses can presently take advantage of the numerous information sources that are at their disposal in order to guide their navigation and propel them towards the achievement of success. This is as a result of the fact that there are numerous indications of expansion in matters pertaining to technology, innovation, and cloud computing. When it comes to human resources departments that aim to have strong scientific capabilities, the collection of the necessary kind of information is often at the top of the list of priorities. Those departments of human resources that are operating extremely effectively are aware of the fact that they may utilise information as a method to generate possibilities by finding specific metrics or information that conveys a particular notion for the goal of establishing plans. This is something that they are aware of. Once that has occurred, these strategies are put into action with the intention of advancing and expanding the company. In order for organisations to accomplish their primary goals, it is the role of the human resources department to make certain that the organisations adhere to the specific metrics and standards that have been established. A strategy that involves the collection and interpretation of data pertaining to employees for the purpose of boosting the performance of both individuals and teams within an organisation is known as human resource analytics, which is also widely referred to as people analytics.
SUMMARY OF THE INVENTION
The benefits and drawbacks of transforming human resource management with HR analytics include a lack of business and management interest and support, a lack of training skill development programmes, HR Analytics gathers and deciphers employee-related information and helps them perform better, and HR Analytics performs complex tasks and prepares future strategies. HR Analytics has pros and cons, according to the invention. HR Analytics has also been shown to significantly impact a corporation when used to transform human resource management. The invention showed that HR Analytics can help HR professionals understand business capacities and develop plans to optimizeability speculations while monitoring and improving HR functions like talent acquisition, employee engagement, performance management, compensation and benefits, and others. Human resources affect corporate operations, and knowledge helps organisations make decisions. Businesses are quickly replacing administrative frameworks with analytics-savvy teams and infusing analytical thinking into human resources to better influence their decisions and aims. Human Resources is shifting from administration to partnership. This suggests that innovation is changing how HR interacts with representatives and partners.

BRIEF DESCRIPTION OF THE DRAWINGS
Fig. 1: Depicts the Artificial Intelligence And The Future of HR Analytics.
Fig. 2: Depicts the Operational Excellence Through Artificial Intelligence.

BRIEF DESCRIPTION OF THE INVENTION
Companies are starting to understand how the HR department fits into their overall objectives. The reason for this is that the concept of human resource management is still relatively new. This is one of the most significant duties that every organisation must carry out in order to guarantee the long-term viability of the enterprise and to accomplish the strategic objectives of obtaining a competitive advantage. A department of personal management had been set up earlier in an attempt to boost output in the years after World War One. Since then, the goal of human resource management has shifted to enhancing the working conditions that companies provide for their employees.

Because the external environment is always changing, firms must compete fiercely in the marketplace. They need to be ready with their best cards if they want to succeed in this environment. It is essential for any organisation to keep the advantage over its rivals in a conflict this size. A highly productive workforce has become more in demand as a result of all the developments that have taken place throughout time. One department that has the ability to find the right talent, help that talent integrate into the workplace, and inspire that talent to give their all in order to produce extraordinary results is human resource management. Normative perspectives state that the position in charge of personnel management inside an enterprise is called human resources. A number of scholars believe that human resource management is the process of building relationships between employers and employees in order to achieve both individual and organisational objectives. Human resource managers are equipped with the knowledge and abilities needed to establish organisational policies and keep track of how well employees are following them. Furthermore, starting from a normative perspective, the descriptive and conceptual approaches are two more methods that might be applied. These points of view are at odds with one another because judgements are made based on conceptual perspectives even if conceptual approaches are grounded in facts. Descriptive viewpoints are supported by facts. From a historical perspective, the current approach to human resources considers a wide range of matrices and conceptual decision-making.

The strategies created through human resource management are crucial to an organization's success in reaching its objectives. However, these strategies could have a big impact on HR Analytics, which helps managers make even better judgements in difficult situations. Nowadays, businesses worldwide are focusing their attention on processes that are backed by a significant quantity of accurate data. With the use of these strategies, managers may make better decisions by utilising data that is easily accessible to them. This will benefit stakeholders and help the company flourish. Academic discourse has focused heavily on evidence-based management strategies, and real-world businesses that have experienced substantial growth over time have adopted similar concepts. Every organization's human resources department prioritises investing in its talent. The purpose of these investments is to show that companies can remain competitive while realising their full potential. Human resource analytics is one of these fields, where data has been applied to help the company make smarter decisions. For the companies, this is advantageous since it gives them data-driven, realistic strategic options that guarantee process sustainability and enable value development.

Data manipulation, often known as analytics, is a scientific process that entails the identification of rational explanations in order to formulate business plans. Business analytics is another kind of data manipulation that helps with better decision-making. Any type of data processing requires the appropriate application of mathematics and statistics. Due to the corporate world's success with data and scientific data management, multiple management programmes have been implemented, which has enhanced the importance of business analytics. At present, business analytics finds use not only in the domains of marketing and finance but also in human resources duties. Business analytics in human resources has grown in importance in the modern world due to the close relationship between HR operations and organisational sustainability and strategy. This is because there is a close relationship between each of these criteria and human resource operations. This article's informational goal is to educate readers on HR analytics and the value of its applications for the expansion of the HR division.

The volume of data that supports the comprehension and decision-making processes associated with human resources is referred to as "human resource analytics". If HR analytics or people analytics are used, it's feasible that one won't have to rely on erratic perceptions or any other kind of observation in order to determine whether or not HR practices are viable. Once all factors are considered, personal data may be evaluated and reported to help build a more precise estimate of the workforce that is currently employed. Furthermore, trends can be identified by analysing HR data, and the findings drawn from this research can help with decisions on how to enhance performance reviews, career development, employee pay, and other initiatives. HR Analytics might be useful if the business has the resources required to understand and make use of the data that is available. Furthermore, it's probable that managers won't be able to find pertinent and useful information within the organization's HR data, even with the introduction of new technology.

In a poll by "Deloitte," it was found that 74% of information technology and human resources professionals thought that cloud-based data, artificial intelligence (AI), and machine learning (ML) were useful technologies. Nevertheless, just 26% of the group used analytics and technology in their work. Managers must evaluate the several ways that HR analytics may help their daily interactions with employees if they are to make the most of HR data and turn it into something genuinely valuable. Even though complex management problems don't necessarily necessitate a team of analytics experts to solve them, managers may discover that even modest attempts to pick up new HR analytics abilities can have a big impact. There are other HRM functions, not just talent selection and recruiting, that may be made better by utilising HR analytics. Encouraging prospective individuals to apply and subsequently hiring them is one such tactic. The system's collected data can be utilised to more effectively assess job applications, employee hires and terminations, and employee movements. Furthermore, a sizable portion of the hiring process's associated responsibilities can be completed automatically. Analytics for human resources can be employed to evaluate staff turnover rates and pinpoint the elements that influence employee turnover in a company. Another aspect of human resource management that needs to be taken into account is pay and benefits. HR analytics can be used to create measurements and compare remuneration packages to those of similar organisations in order to ascertain the standards that are common in the market. Managers will be able to hold on to talented employees that add value to the organisation overall by using a more thorough comparison.

Reward and appreciation programmes are essential for inspiring employees and helping them reach high levels of job satisfaction. They thus feel more accountable and responsible for the work they accomplish as a result of this. Employees that lack motivation usually produce work that is below expectations, which is bad for the business. Companies must make sure that their staff members are somewhat motivated in order for them to be able to perform their jobs as efficiently as possible. Employee motivation to work more can only occur when their efforts to meet objectives or behave appropriately at work are acknowledged. However, there are also situations where the human resources management finds it difficult to decide what kind of incentives employees might receive and when to offer them.

Managers can also profit from HR analytics in some circumstances since they can use pre-existing data to recommend rewards for employees and when to give them. It's likely that staff members will receive prizes whenever they reach a specific productivity threshold. The application of data related to human resources to evaluate employee commitment and performance and to suggest solutions that can improve performance may make human resource analytics significant. The activities a company takes with regard to its people resources are linked since evaluating an individual's performance usually reveals areas where development is needed. To close the identified skill gaps, employees could receive specialised training that closes the gap while teaching them new skills. Human resources also have an obligation to support employees' learning and growth; they give them the resources they need to acquire, forget, and re-learn the new abilities, knowledge, and skills required to succeed in a highly competitive workplace.
Businesses are putting in a lot of effort to gain a competitive edge in order to draw both talent and customers. Upholding moral and ethical standards gives a sustainable business a competitive edge and helps it establish a positive reputation in the marketplace. The Human Resources Policy Association carried out a study in 2021 in an effort to come up with some numbers about diversity and inclusion. Human resource executives are working very hard to make sure that their organisations maintain high levels of diversity and inclusion in light of the survey's findings. They argue that because members of a more varied group have varying perspectives on the same issue, the group is more equipped to handle complicated problems. HR analytical tools with integrated algorithms can offer a matrix that takes diversity into account when it comes to employing new staff members and figuring out pay parity for personnel at the same level. Employees in human resources can promote diversity and inclusion while simultaneously ensuring that the company complies with the law by taking this action.

Human resources, which was once a cost centre, has developed into a division that helps the company lower costs while simultaneously meeting employee needs. Implementing HR data analytics and technology innovations has made this change possible. For example, HR analytics can be used to provide reports and identify the main benefits that keep employees engaged and in demand. Similarly, HR analytics might be added to the system to ascertain the exact expense of offering benefits to employees and pinpoint areas where expenses can be cut in order to improve and create offers or perks that are not just competitive but comprehensive. Despite the fact that technology is always evolving and causing changes to the business, employees are nevertheless expected to stay up to date on the latest developments. Businesses are increasingly investing heavily in the training and development needs of their employees as a result of their awareness of the need to reskill and upskill their workforce. Businesses should make resources available to people so they can continue their education and grow in their employment. Beyond the personal rewards, this aids in an organization's ability to retain a pool of talented, qualified, and competent individuals within the organisation. HR managers' assistance with training and development initiatives has significantly risen thanks to HR analytics. This is so that HR managers can keep an eye on training hours, identify employees who would want to get training through unorthodox means, and make recommendations based on available data thanks to HR analytics.

Because of its importance, the term "employee engagement" has gained popularity in the human resources industry. Numerous research projects carried out by scholars and industry experts have demonstrated the importance of this idea in raising employee motivation and work satisfaction levels inside a firm. There are several ways in which employee engagement has grown as a result of human resource analytics. Measuring and comparing the levels of involvement across departments, regions, and sectors is a common task that has been made easier by human resource analytics. The evaluation's conclusions indicate that higher rates of employee absenteeism and turnover in the companies have been linked to low levels of employee engagement. In order to create better policies, perks, pay, engagement levels, and other initiatives that keep workers engaged and motivated in their jobs, HR managers can keep an eye on these indicators and take into account the elements that contribute to employee turnover. This makes it possible for HR managers to address the issues that cause employee churn. A number of initiatives aimed at boosting workplace engagement can give employees a break from their daily responsibilities and help them explore interests and skills they might pursue outside of work. For the HR analytics solutions to be optimised, input must be supplied. When new interventions are needed, they can be added, and the current system can be changed to take into account the input from different stakeholders.

, Claims:WE CLAIM
1. HR analytics, sometimes referred to as people analytics, looks at employee data to improve the efficacy of organisations. This cycle is sometimes referred to as talent or workforce analytics.
2. Due to the novelty of HRM, companies are combining HR duties with goals.
HR practices significantly influence the goals of the business.
3. Managers can use HR analytics to help them make better decisions when presented with difficult situations.
4. HR analytics: Data and discretion. HR or people analytics can evaluate HR practises independently of other impressions or observations.
5. With the use of technology and data analytics, HR has developed into a division that puts workers first while cutting costs.
6. Modern firms regard staff development and training as a means of reskilling and upskilling workers.
7. Thanks to innovation, HR is transitioning from an administrative to a collaborative relationship with representatives and partners.

Dated this 19th April 2024.

Senthil Kumar B
Agent for the applicant
IN/PA-1549