• Unit 1: Introduction to Data-Driven Decision-Making

    Do you order online? Do you shop at a grocery store? Every online and in-store transaction is a new business observation of a customer's purchasing habits. These observations are all data, and smart companies use that data to make decisions. Today, businesses collect more data faster than ever before, and they continue to seek better ways to improve their decision-making using that data. The major difference between traditional and data-driven decision-making (DDDM) is that DDDM uses facts and metrics data to guide decisions rather than intuition or stereotypes. As an analyst, leaders will look for you to derive valuable insights from the data your company collects. For example, Netflix used DDDM to gather insights on the programming customers preferred, which led them to create the hit show House of Cards. Netflix exceeded its membership goals by using data to create programming that customers couldn't get anywhere else. Being data-driven ensures decisions align with organizational goals, objectives, and initiatives. This unit will cover the DDDM process and how business analysts, managers, human resource professionals, and decision-makers at all levels in an organization can be empowered to make better decisions.

    Completing this unit should take you approximately 16 hours.

    • 1.1: What is Data-Driven Decision-Making?

      • 1.1.1: Data-Driven Information

      • 1.1.2: Data-Driven Learning

      • 1.1.3: Data-Driven Science

    • 1.2: Using Data-Driven Decision-Making in the Real World

    • Study Guide: Unit 1

      We recommend reviewing this Study Guide before taking the Unit 1 Assessment.

    • Unit 1 Assessment

      • Receive a grade