CIS 321 Case Study Employee Benefits System Milestone 2 Prob

Cis 321 Case Study Employee Benefits Systemmilestone 2 Problem Anal

Perform a cause-effect analysis on the Employee Benefits System (EBS) and document findings using the Problems, Opportunities, Objectives, and Constraints (POC) Matrix. Classify the identified problems, opportunities, and directives using the PIECES framework, and compile a list of main business activities based on the requirements.

Sample Paper For Above instruction

The development of effective information systems begins with a thorough understanding of existing problems, opportunities, and the operational environment. In the case of the Employee Benefits System (EBS), this initial step involves performing a cause-effect analysis to identify the root causes of issues and the potential opportunities for improvement. The analysis leverages the PIECES framework—an acronym for Performance, Information, Costs, Efficiency, Controls, and Service—designed to classify various problems and opportunities within a system comprehensively.

Firstly, understanding the current employee benefits processing system reveals several problems that hinder its efficiency and effectiveness. For instance, a recurring issue pertains to inaccurate data entry, leading to delays in benefit claims processing and errors in benefit allocation. The root cause appears to be the manual nature of data entry, which is susceptible to human error. This inefficiency falls under the 'Performance' and 'Information' categories of PIECES, as it impacts the system's speed and the validity of information maintained.

Another significant problem is the lack of real-time data access and updates, causing delays in communicating benefit status to employees. This issue undermines service delivery and affects employee satisfaction, aligning with the 'Service' component of PIECES. Additionally, the current system incurs high maintenance costs due to outdated technology and frequent manual interventions, which comprise the 'Costs' classification. These financial burdens reduce overall system efficiency and raise questions about the system's viability in the long term.

Opportunities for system enhancement are apparent. Automating data validation processes could significantly reduce errors, thereby improving data accuracy ('Performance' and 'Information'). Implementing a self-service portal for employees to view and update their benefits information presents an opportunity to enhance 'Service' levels and reduce administrative overhead ('Efficiency'). Furthermore, adopting cloud-based solutions could lower maintenance and operational costs ('Costs') while improving system scalability and availability.

The cause-effect analysis reveals that many of the problems are caused by outdated manual processes, lack of integrated data management, and limited automation. These root causes point towards the necessity for a comprehensive system upgrade. The opportunities identified suggest that automating existing manual tasks, integrating the system with other HR and payroll systems, and deploying user-friendly interfaces can greatly improve operational performance and employee satisfaction.

Using the Problems, Opportunities, Objectives, and Constraints (POC) Matrix, these findings are systematically documented. For example, under 'Problems,' the inaccuracies in data entry and delays in benefit communication are listed; under 'Opportunities,' automation and portal development are noted. The objectives derived from these insights include improving data accuracy, reducing processing time, enhancing employee access to information, and lowering system maintenance costs.

Classifying these elements using the PIECES framework helps prioritize actions. Problems associated with performance and information are addressed first by automating data entry and validation, whereas service and efficiency issues are tackled through user portals and process reengineering. Constraints such as budget limitations, technical infrastructure, and user acceptance are considered, ensuring recommendations are realistic and achievable within organizational parameters.

The final step involves compiling a list of core business activities that are essential to support the improved employee benefits system. Key activities include data collection and validation, employee portal management, benefits claims processing, system reporting and analysis, and integration with payroll and HR modules. These tasks form the foundation for designing and implementing a more efficient, accurate, and user-centric benefits management system.

In conclusion, thorough cause-effect analysis and classification using frameworks like PIECES provide critical insights into the current system’s deficiencies and opportunities. Documenting these findings through the POC matrix guides strategic decision-making and helps in designing targeted improvements that will enhance system performance, reduce costs, and increase employee satisfaction. These foundational analyses are indispensable steps toward developing a reliable and efficient Employee Benefits System that meets organizational goals and employee needs.

References

• Christensen, C. M. (2003). The Innovator’s Dilemma: When New Technologies Cause Great Firms to Fail. Harvard Business Review Press.
• Pressman, R. S. (2014). Software Engineering: A Practitioner’s Approach (8th ed.). McGraw-Hill Education.
• Laudon, K. C., & Laudon, J. P. (2020). Management Information Systems: Managing the Digital Firm (16th ed.). Pearson.
• Wetherbe, J. C. (2005). Information Systems and Business Strategy. Wiley.
• Hoffer, J. A., George, J. F., & Valacich, J. S. (2014). Modern Systems Analysis and Design (8th ed.). Pearson.
• Kroenke, D. M. (2018). Systems Analysis and Design (9th ed.). Pearson.
• O'Brien, J. A., & Marakas, G. M. (2014). Management Information Systems (10th ed.). McGraw-Hill Education.
• Schwalbe, K. (2018). Information Technology Project Management (9th ed.). Cengage.
• Silver, B. S., & Mack, R. L. (1998). Systems Analysis and Design. Wiley.
• Lehaney, B. (2005). Success and Failure in IS/IT Projects: The Critical Success Factor Approach. Springer.