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Guest Lecturer: Dr. Ali Faizan Chapter 4 Video

Marketing Research

Lecture Video Intro

Lecture Video 4.1

Roles of Marketing Research

Marketing Research Process

Lecture Video 4.2

A Closer Look at Data in Marketing Research

Where to Find Data?

Primary vs. Secondary Data

Lecture Video 4.3

Lecture Video 4.4

Qualitative and Quantitative Data in Marketing Research

Lecture Video 4.5

Emerging Marketing Research Methods and Practices

Lecture Video 4.6

Marketing Information Systems

What Is a MIS?

Key Components of MIS

Customer Relationship Management Systems

Lecture Video 4.7

The Role of CRM in the Customer Lifecycle

The Role of CRM in Marketing Information Systems

Using Marketing Information to Inform Strategy

Lecture Video 4.8

Benefits of MIS

Lecture Video 4.9

Knowledge Check

In today's hyper-competitive business landscape, data is the ultimate currency. "Marketing Information Systems for Strategic Decision-Making" is a comprehensive online course designed to transform how you collect, analyze, and leverage marketing data to drive business growth.

In today's hyper-competitive business landscape, data is the ultimate currency. "Marketing Information Systems for Strategic Decision-Making" is a comprehensive online course designed to transform how you collect, analyze, and leverage marketing data to drive business growth. Whether you are a marketing professional, a business strategist, or an aspiring entrepreneur, this course will equip you with the essential skills to navigate the complex world of marketing research and information systems. Throughout this engaging program, you will explore the fundamental roles and processes of marketing research, diving deep into the nuances of primary and secondary data, as well as qualitative and quantitative methodologies. You will uncover where to find reliable data and how to utilize emerging research practices to stay ahead of the curve. Beyond basic research, this course provides a robust understanding of Marketing Information Systems (MIS) and Customer Relationship Management (CRM) systems. You will learn how these powerful tools integrate to optimize the customer lifecycle and inform high-level strategic decisions. By the end of the course, you will possess the analytical mindset and practical knowledge required to turn raw data into actionable marketing strategies, ensuring your organization thrives in a data-driven world. Join us to master the art of navigating with data and elevate your strategic decision-making capabilities.

Chapter 4: Marketing Information Systems for Strategic Decision-Making

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            <p>In today's hyper-competitive business landscape, relying on intuition is no longer sufficient for driving growth and sustaining market relevance. "Marketing Information Systems for Strategic Decision-Making" explores the critical intersection of data, technology, and marketing strategy. This course delves into the foundational elements of marketing research, guiding learners through the entire research process, from identifying reliable data sources to distinguishing between primary, secondary, qualitative, and quantitative data. By understanding these core research methodologies alongside emerging industry practices, professionals can effectively gather the precise insights needed to navigate complex market dynamics and decode shifting consumer behaviors.</p>

<p>Building upon a strong research foundation, the curriculum transitions into the architecture and practical application of Marketing Information Systems (MIS) and Customer Relationship Management (CRM) platforms. Learners will examine the key components of an effective MIS and discover how CRM systems play a pivotal role in managing and optimizing the customer lifecycle. Ultimately, the course demonstrates how to synthesize this wealth of information to inform robust marketing strategies and unlock tangible business benefits. To ensure complete mastery of these concepts, a comprehensive series of quizzes is integrated throughout the learning journey, allowing participants to continuously test their knowledge on everything from data-driven decision-making to the intricate integration of research and information systems.</p>
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