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 Chapter 8 Lecture

8 Data Analytics and Modeling

Introduction

8.1 The Business Analytics Process

Importance of and Challenges with Big Data

Data Acquisition

The Business Analytics Process

Iris Species Data Study

Pull Data from an Excel Spreadsheet

Enter Your Own Data

Expert and Practitioner Perspectives

Decision-making in a future of Big Data and AI | Christina Orphanidou | TEDxUniversityofNicosia

Quiz

Survey/Feedback

Learning Objectives

Learner Feedback

Foundations of the Business Analytics Process and Big Data is a hands-on introductory course designed to help you turn raw, messy information into clear, evidence-based decisions. You will learn the end-to-end analytics lifecycle—from framing business questions and acquiring data to modeling, validating, and communicating insights—so you can deliver measurable impact in real-world settings. Beginning with the business analytics process, you’ll explore how to translate objectives into analytical tasks, choose the right methods, and build trust with stakeholders. You’ll then tackle the importance and challenges of big data, including scale, speed, variety, data quality, governance, and ethics. Practical modules guide you through data acquisition strategies and working with everyday tools like spreadsheets. Using the classic Iris species dataset, you will practice preparing data, exploring patterns, and building simple predictive models to cement core concepts. By the end, you’ll be able to source and structure data, select suitable models, and communicate results clearly—skills that apply across marketing, finance, operations, HR, and beyond. Whether you’re new to analytics or looking to formalize your approach, this course gives you a structured, repeatable framework and the confidence to make data work for your business.

CH 8.1: Foundations of the Business Analytics Process and Big Data

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            <p>In the modern digital economy, the ability to transform raw information into actionable insights is a critical competitive advantage. This course explores the foundational elements of the business analytics process, beginning with an examination of how data analytics and modeling serve as the backbone for informed decision-making. Participants will delve into the complexities of big data, identifying the significant opportunities it offers for organizational growth while navigating the inherent challenges of volume, velocity, and variety. By understanding the systematic approach to business analytics, learners can better appreciate how structured methodologies lead to more reliable and predictive outcomes in a variety of industrial contexts.</p>

<p>Beyond theoretical frameworks, this curriculum emphasizes practical data acquisition and hands-on application. A central component of the study involves the classic Iris Species data set, which serves as a practical vehicle for mastering data manipulation techniques. Learners will gain experience in pulling data from external sources like Excel spreadsheets and practice the precision required for manual data entry. Through these exercises, the course bridges the gap between abstract data concepts and the technical skills necessary to execute the business analytics process effectively, concluding with assessments designed to reinforce the core principles of data modeling and acquisition.</p>
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