Welcome to BUS607: Data-Driven Decision-Making

Specific information about this course and its requirements can be found below. For more general information about taking Saylor Academy courses, including information about Community and Academic Codes of Conduct, please read the Student Handbook.

Course Description

In this graduate-level course, explore the foundation of business analytics and how to make decisions based on data by examining how organizations use data-driven decision-making to create a competitive advantage, and learn how to translate analytics results into illuminating visualizations to tell a data-driven story that leaders can use to make decisions.

Course Introduction

Today's world of business relies more on data than at any other time in history. Data can help companies generate smarter business decisions, capture information, and enhance their overall decision-making processes.

Today is a challenging time for businesses. Leaders and managers are responsible for delivering services and products to customers and stakeholders, which requires them to make strategic and operational decisions every day. It isn't easy to find a company or leader who wouldn't want to use data to make decisions, since data is much more reliable than intuition. Without data, managers may base decisions on biases and false assumptions that cloud judgment and ultimately lead to poor decision-making.

For example, Google created a department of People Analytics to help make human resource (HR) decisions using data. Google used data from performance reviews and employee surveys to answer its most challenging questions. Its data revealed that managers with specific performance characteristics improved employee happiness, which increased longevity at Google and, in turn, improved employee productivity.

This course includes the following units:

  • Unit 1: Introduction to Data-driven Decision-Making
  • Unit 2: Transforming to a Data-Driven Decision-Making Enterprise
  • Unit 3: The Role of Leadership
  • Unit 4: Types of Data
  • Unit 5: Deriving Data Insights
  • Unit 6: Creating Effective Visualizations
  • Unit 7: Database Marketing and Customer Relationship Management
  • Unit 8: Data-Driven Uses and Misuses

Course Learning Outcomes

Upon successful completion of this course, you will be able to:

  • Describe the importance of relying on data analytics to drive organizational decision-making;
  • Distinguish between the three continuums needed to successfully implement data-driven decision-making;
  • Explain the role of leadership and its importance in data-driven decision-making;
  • Differentiate between data types and describe the various levels of analytics;
  • Analyze the analytical process for organizing and summarizing data used to drive decision-making based on customer trends;
  • Apply best practices for creating effective visualizations for different audiences;
  • Describe business strategies that can be improved through data-driven decision-making; and
  • Analyze how insights revealed from business data are used to drive business strategy.

Throughout this course, you will also see learning outcomes in each unit. You can use those learning outcomes to help organize your studies and gauge your progress.

Course Materials

This course's primary learning materials are articles, lectures, and videos.

All course materials are free to access and can be found in each unit of the course. Pay close attention to the notes that accompany these course materials, as they will tell you what to focus on in each resource and will help you understand how the learning materials fit into the course as a whole. You can also see a list of all the learning materials in this course at this link.

Some parts of this course may have been created or reviewed with the support of artificial intelligence (AI). To make sure you receive accurate, high-quality, and academically sound learning materials, all AI-assisted content is carefully checked and approved by Saylor Academy's faculty and subject matter experts.

Evaluation and Minimum Passing Score

Only the final exam is considered when awarding you a grade for this course. To pass this course, you will need to earn a grade of 70% or higher on the final exam.

Your score on the exam will be calculated as soon as you complete it. Be sure to study in between each attempt! If you do not pass the exam, you will not complete this course or receive a certificate of completion. You can attempt the exam as many times as you want.

There are end-of-unit assessments in this course that are designed to help you study and do not factor into your final course grade. You can take them as many times as you want until you understand the concepts they cover.

You can see all of these assessments at this link.

Continuing Education Credits

The certificate earned by passing this self-paced course displays the program hours you completed and continuing education credits (CEUs). CEUs document successful completion of courses that are designed to improve the knowledge and skills of working adults. Many industries value CEUs, and now your certificate reflects them clearly, and they may be used to support career advancement or to meet professional licensing standards. This course contains 4.0 CEUs.

Tips for Success

BUS607: Data-Driven Decision-Making is a self-paced course, meaning you can decide when to start and complete the course. We estimate the "average" student will take 40 hours to complete. We recommend studying at a comfortable pace and scheduling your study time in advance.

Learning new material can be challenging, so here are a few study strategies to help you succeed:

  • Take notes on terms, practices, and theories. This helps you understand each concept in context and provides a refresher for later study.
  • Test yourself on what you remember and how well you understand the concepts. Reflecting on what you've learned improves long-term memory retention.

Technical Requirements

This course is delivered entirely online. You will need access to a computer or web-capable mobile device and consistent internet access to view or download resources and complete auto-graded assessments and the final exam.

To access the full course, including assessments and the final exam, log into your Saylor Academy account and enroll in the course. If you don't have an account, you can create one for free here. Note that tracking progress and taking assessments require you to log in.

For more details and guidance, please review our complete Technical Requirements and our student Help Center.


Optional Saylor Academy Mobile App

You can access all course features directly from your mobile browser, but if you have limited internet connectivity, the Saylor Academy mobile app provides an option to download course content for offline use. The app is available for iOS and Android devices.

Fees

This course is entirely free to enroll in and access. All course materials, including textbooks, videos, webpages, and activities, are available at no charge. This course also contains a free final exam and a free course completion certificate.

Last modified: Friday, October 3, 2025, 12:37 PM