Project Charter for Payroll System

One is an in-house system used by payroll to process employees’ pay and the other is a HRIS system used by Human Resources to store employee’s information. Because, the two systems are not integrated, mandatory employee information must be manually entered in both systems. Transferring of employees hire documents from one department to another could be missed, lost, or received late this can cause an employee to be paid incorrectly, or not paid at all. Consequently, if plant employees are not paid correctly, and on time, there is potential for a grievance payouts as a result of non-compliance with the union collective agreement. Since payroll’s goal is to expand their role in the organization, any issues with an employee’s pay would weaken their credibility.

Salary schedules also come in handy while the company is budgeting. The salary schedule provides the company with the ability to effectively budget in labor costs. The human resources department in a company can thus analyze the available jobs at their pay grade and get a reasonable estimate of the cost of labor by department and organization. The latter make it easier to the leader to make an assessment on the current labor depending on the needs of the company or any project that the company may need to engage in (Kokemulle, 2017). While labor remains as one of the most expensive factors in a company, having schedules come in handy in ensuring that a business is operated aptly.

With the constraints of the suggested systems, the authors propose an idea to provide a solution that overcomes the problems stated above.

With the help of this technology, it would be easy for the employees to carry out all the procedures and activities within the organization. It will help in avoiding all the paperwork; and, instead will maintain the records in a very systematic way. The data can then also be utilized for other data mining purpose. Another important gain of this technology to the given organization would be to improve the business performance, and thereby improve the profit lines down the operations (Cachin, Keidar, & Shraer, 2009). It will thus, give the management better controls for all the operative functions of the organization.

The question is really more complex since both categories of workers come accompanied with both tangible and intangible expense. These expenses must be throughly tabulated and worked through before a decision is reached.

The risk is the Payment to fictitious employees and payroll cheques may be distributed to unauthorized. The payroll cheques could not be preparing.

|The current overtime and additional shifts is an unbudgeted payroll cost. This is not adequate to cope with the |………….. |

Unfortunately, through the success of being able to complete assignments in reasonable time it 's not without complications. Employees require financial security and for an organization in this sort of environment the Custodial Model is perfect for the level of dependability and motivation management seeks for quality performance. This is standard for the job quality that normally comes with complications because of the emphasis on how things are supposed to be done. The seriousness of each organizational issues that currently affects the work environment all differ. Currently in the workplace, there are two major organizational issues that are affecting the process in which the structural requires.

Explaining the relevance and need for such systems in the country in order to avoid certain risk in the organisation.

If the system is designed for one task, it cannot be extended to do another task later as they are

Data Mining technique is the result of a long process of studies and research in the area of databases and product development. This evolution began when business data and companies was stored for the first time on computer device, with continuous improvements in access to data and more newly, produced technologies that allow users to navigate during their data in real time. Data mining is a approach that help to mine important data from a large database. It is the technique of classification during huge amounts of data and chosen out relevant information during the use of certain advanced algorithms. Like more data is collected, with the amount of data doubling every one years, data mining is becoming an more and more important tool to convert this data into information. Data mining takes this evolutionary process behind retrospective data access and navigation to prospective and proactive information delivery. Data mining is very useful and ready in applications in the business

- With the increment in IT (Information Technology) the size of the databases generated by the organizations due to the availability of low-cost store and the development in the data pick technologies is also increasing , Data mining (DM) also called KDD (Knowledge discovery in databases) helps to identifying priceless information in such large databases. This valuable information can help the decision producer to make exact futurity decisions, In Figure 1 describe data mining techniques

Abstract— Data mining is logical process that is used to extract or “mining” large amount of data in order to find useful data [2]. Knowledge discovery from Data or KDD is synonym for Data Mining[13].There are many different types of techniques that can be used to retrieve information from large amount of data. Each type of technique will generate different results. The type of data mining technique that should be selected depends on the type of business problem that we are trying to solve.

Data mining consists of analysing huge sets of data and extracting relevant information and data patterns. Companies often have very large data sets that needs to be analysed for many different purposes. Initially this was a hard task to accomplish because of limitations in computing power. However, computer technology has accelerated so fast in recent past that analysing large volumes of data has become possible. Companies use these analysis results for

enter employee hours recorded on time cards in the payroll transaction file maintained on disk and update wage data maintained on the payroll master file