Description

Description

Report Properties

  • Length: Maximum of 6 pages (including Title Page, Abstract, and References).
  • Figures: 2 to 4 figures (e.g., diagrams, flowcharts, or data visualizations relevant to database structure, AI integration, or security architecture).
  • Tables: 1 to 2 tables (e.g., comparison tables for current and proposed features, security risks and solutions, or ERP module functionalities).
  • References: Minimum of 15 references (from academic sources, articles, and ERP or AI documentation).
  • Avoid plagiarism
  • Course Project
    Enhancing ERP Systems with Database
    Management, AI, and Security

    Project Theme:
    Strategic Enhancement of ERP Systems: Building on Case Study 2
    Introduction:
    This project continues the work from Case Study 2, with students working in the same groups as
    before. The focus is on integrating targeted improvements in database management, artificial
    intelligence (AI), and security. These enhancements should be specifically tailored to the ERP
    system scenario analyzed in Case Study 2.

    Project Objectives:
    The main objectives are to:



    Deepen understanding of ERP systems through focused enhancements.
    Propose a specific improvement for the ERP system’s database.
    Identify one AI feature that could benefit the ERP system.
    Recommend one security enhancement.

    Project Components (Simplified)
    1. Database Management Analysis:
    Focus on one improvement to the ERP database structure, such as reorganizing tables for
    better efficiency or enhancing data retrieval speed.
    2. AI Integration in ERP:
    Select one AI feature to integrate, like predictive analytics for better inventory management
    or automation to streamline processes.
    3. Security Information System Enhancement:
    Recommend one main security enhancement, such as improved user access control, data
    encryption, or a basic threat detection mechanism.

    Jeddah International College

    1

    Report Properties



    Length: Maximum of 6 pages (including Title Page, Abstract, and References).
    Figures: 2 to 4 figures (e.g., diagrams, flowcharts, or data visualizations relevant to database
    structure, AI integration, or security architecture).
    Tables: 1 to 2 tables (e.g., comparison tables for current and proposed features, security risks
    and solutions, or ERP module functionalities).
    References: Minimum of 15 references (from academic sources, articles, and ERP or AI
    documentation).

    Report Structure with Detailed Guidance
    1. Title Page:
    o Details to Include: Course title, project title (e.g., “Enhancing ERP Systems with
    Database, AI, and Security”), your full names and ID, and the project’s submission
    date.
    o Tip: Keep it simple but ensure all information is clearly visible and formatted
    professionally.
    2. Abstract:
    o Purpose: Summarize the purpose of the project, outlining the ERP system analyzed
    in Case Study 2 and the new enhancements.
    o What to Include: In two to three sentences each, mention (1) the ERP system context
    from Case Study 2, (2) the main focus of each enhancement (database, AI, and
    security), and (3) the expected benefits of these enhancements.
    o Example: “This project builds on the ERP system examined in Case Study 2 by
    proposing targeted improvements in database management, artificial intelligence, and
    security. These enhancements aim to optimize data retrieval, introduce predictive
    analytics, and reinforce data protection. The overall goal is to increase system
    efficiency, accuracy, and security.”
    3. Introduction:
    o Purpose: Introduce the ERP system context from Case Study 2 and provide a
    rationale for this project’s focus on database, AI, and security enhancements.
    o What to Include: Describe the ERP system’s role in the business, emphasizing its
    current functions and limitations that might be improved. State why enhancing
    database management, AI integration, and security is beneficial for the ERP’s
    performance.
    o Example: If RetailCo’s SAP system was used, discuss its current applications in
    inventory and customer service, then mention that improvements in data organization,
    predictive inventory management, and data protection are essential to remain
    competitive.
    4. Methodology:
    o Purpose: Explain how you identified and selected the specific enhancements for each
    area (database, AI, and security).
    o What to Include: Briefly describe your approach, such as researching ERP
    optimization practices or reviewing ERP challenges faced by the business. Mention
    any resources or criteria used to evaluate the relevance of each enhancement.
    o Tip: Keep this section concise; a few sentences on your research or thought process
    will be enough.
    o

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    5. Database Management Analysis:
    o Purpose: Provide a clear analysis of one database improvement and how it will
    enhance ERP functionality.
    o What to Include: (1) Describe the ERP system’s current database structure as per
    Case Study 2. (2) Identify one area where database performance can improve, such
    as speeding up queries, reorganizing tables, or enhancing integration between
    modules. (3) Explain the potential benefits, such as faster data retrieval or more
    accurate reporting.
    o Example: “In RetailCo’s SAP system, optimizing the database by indexing
    frequently accessed tables could reduce query times and improve response times for
    inventory checks, benefiting decision-making speed.”
    6. AI Integration in ERP:
    o Purpose: Introduce one AI feature and describe how it could improve ERP system
    performance.
    o What to Include: (1) Describe the chosen AI technology, such as predictive analytics
    or machine learning. (2) Explain why this AI feature is relevant to the ERP system,
    specifically in the context of the ERP scenario from Case Study 2. (3) Discuss the
    expected impact, like automating reordering based on demand forecasting, enhancing
    customer personalization, or reducing stockouts.
    o Example: “Integrating predictive analytics into SAP for RetailCo could enable
    demand forecasting, allowing the system to adjust reordering levels automatically,
    improving inventory accuracy and customer satisfaction.”
    7. Security Information System Enhancement:
    o Purpose: Evaluate one security enhancement to protect the ERP system’s data and
    user information.
    o What to Include: (1) Identify the ERP system’s current security measure as observed
    in Case Study 2. (2) Propose one security enhancement, such as stronger access
    controls, data encryption, or a threat monitoring tool. (3) Explain how this
    enhancement would reduce risks, such as unauthorized access or data breaches.
    o Example: “To enhance data security in RetailCo’s SAP system, implementing rolebased access controls could prevent unauthorized employees from accessing sensitive
    information, reducing the risk of data breaches.”
    8. Conclusions and Recommendations:
    o Purpose: Summarize the enhancements and outline their expected impact on the ERP
    system.
    o What to Include: (1) Recap the database, AI, and security enhancements,
    highlighting their potential benefits. (2) Offer any additional recommendations for
    long-term improvements, like continuous updates or regular staff training to
    maximize the effectiveness of these enhancements.
    o Example: “By optimizing database retrieval, integrating predictive analytics, and
    strengthening access controls, RetailCo’s SAP system could achieve higher
    operational efficiency, more accurate decision-making, and improved data
    protection.”
    9. References:
    o Purpose: List all sources, articles, or ERP documentation you consulted.
    o What to Include: Use APA, MLA, or another preferred citation format. Include any
    articles on ERP systems, AI in business, database management practices, or
    cybersecurity that informed your analysis.

    Jeddah International College

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