FUNDAMENTALS OF CUSTOMER RELATIONSHIP MANAGEMENT SYSTEMS
- Course
- MISY474 - FUNDAMENTALS OF CUSTOMER RELATIONSHIP MANAGEMENT SYSTEMS
- Department
- Management Information Systems - English - Undergraduate
- Course Type
- Course
- Status
- Required
- Language
- English
- Credit
- 3
- ECTS
- 6
- T+P+L
- 0 + 0 + 3
- Course Coordinator(s)
- Dr. Inst. Tuğça KOKKOZ
- Prerequisite
- -
Course Description
This course provides a comprehensive introduction to Customer Relationship Management (CRM) from an information systems perspective. Students will explore how organizations use CRM systems to manage customer interactions, analyze behavior, and support marketing, sales, and service functions. Topics include CRM architecture, customer data analytics, system implementation, and integration with enterprise platforms (e.g., ERP, e-commerce). Emphasis is placed on understanding the role of CRM in customer lifecycle management, personalization, and long-term customer value creation. Students will work with CRM software to gain hands-on experience in managing contact databases, segmenting customers, and designing service workflows. By the end of the course, students will understand how to evaluate, implement, and leverage CRM solutions to enhance business performance and customer satisfaction.
FUNDAMENTALS OF CUSTOMER RELATIONSHIP MANAGEMENT SYSTEMS
Evaluation Tools (Active Term)
| Item | Type | Weight (%) |
|---|---|---|
| MIDTERM | Midterm | 35 |
| Assignment | Assignment | 20 |
| Final | Final | 45 |
| Total | 100 | |
Course outcomes
- 01 To enhance awareness and increase understanding the CRM responsibility
- 02 To examine why do customer defect.
- 03 To define the customer service excellence.
- 04 To manage for customer satisfaction.
Course Syllabus
| Week | Topic |
|---|---|
| Week 1 | Welcoming the students – Introducing Syllabus |
| Week 2 | CRM Strategic Framework & Processes |
| Week 3 | Types of CRM & Positioning |
| Week 4 | Strategy Development (Business & Customer) |
| Week 5 | Strategy Development (Business & Customer) |
| Week 6 | Strategy → Execution (roadmap, capability gaps) |
| Week 7 | Value Creation (customer value, firm value, CLV) |
| Week 8 | Midterm Week |
| Week 9 | Midterm Week |
| Week 10 | Value Creation (customer value, firm value, CLV) |
| Week 11 | Information Management (architecture, analytics) |
| Week 12 | Information Management (architecture, analytics) |
| Week 13 | Performance Assessment (KPI, BSC, linkage) |
| Week 14 | Organization & Implementation (readiness, change, cases) |
| Week 15 | General review before final exam |
Reference Books & Course Materials
- 01 Adrian, P. (2007). Handbook of CRM: Achieving Excellence in Customer Management
Learning Outcomes
- L01 Define and describe the fundamental concepts and objectives of CRM in business contexts. SOLO 3
- L02 Students will be able to classify different types of CRM and compare their strategic positioning in organizations. SOLO 4
- L03 Analyze business and customer perspectives and develop effective CRM strategies that align with organizational goals SOLO 4.5
- L04 Design and evaluate execution roadmaps by identifying capability gaps in CRM initiatives. SOLO 5
- L05 Analyze and evaluate the value creation process by linking customer value, firm value, and CLV. SOLO 3.5
- L06 Analyze and integrate multiple channels to ensure a seamless CRM process across customer touchpoints. SOLO 4.5
- L07 Analyze and manage customer information processes to support effective CRM decision-making. SOLO 4
- L08 Evaluate CRM performance through key metrics and assess improvement opportunities in the process SOLO 4.5
- L09 Organize and design structures for CRM implementation and evaluate organizational readiness for change SOLO 5
Program Outcomes
- P01 Apply data science principles and techniques to challenges in real life situations, and effectively communicate their solutions.
- P02 Identify and implement data analysis methodologies based on theoretical ideas, ethical code, and in-depth knowledge of the underlying data.
- P03 Analyze the guiding concepts and assessment procedures for information analysis in real-life applications.
- P04 Design and apply relevant data analysis models to find obscure solutions to business-related problems.
- P05 Utilize modern computing techniques to handle real-world problems characterized by massive amounts of data, such as parallel and distributed computing and machine learning.
- P06 Configure and administer the software tools required to efficiently produce usable information from any size of structured and unstructured datasets.
- P07 Administer or manage data science tools and techniques to organize and complete projects aimed at gaining useful insight from complex data.
- P08 Think critically and imaginatively, conceiving real-world issues from several angles, and work well in a variety of teams to solve issues cooperatively.
- P09 Be able to effectively integrate data‐based solutions into the user environment and help non-technical professionals in exploring, visualizing, and using these solutions
- P10 Understand their obligations under professional and ethical standards in relation to matters like data ownership and citation, data security and sensitivity and the privacy implications of data analysis.
Po-Lo Matrix
| LO | P01 | P02 | P03 | P04 | P05 | P06 | P07 | P08 | P09 | P10 | Average |
|---|---|---|---|---|---|---|---|---|---|---|---|
| L01 | - | - | - | - | - | - | - | - | - | - | - |
| L02 | - | - | - | - | - | - | - | - | - | - | - |
| L03 | - | - | - | - | - | - | - | - | - | - | - |
| L04 | - | - | - | - | - | - | - | - | - | - | - |
| L05 | - | - | - | - | - | - | - | - | - | - | - |
| L06 | - | - | - | - | - | - | - | - | - | - | - |
| L07 | - | - | - | - | - | - | - | - | - | - | - |
| L08 | - | - | - | - | - | - | - | - | - | - | - |
| L09 | - | - | - | - | - | - | - | - | - | - | - |