Brief Introduction
In this course, you will learn how leaders make managerial and relevant decisions based on data across multiple global industries. You will also explore how companies benefit from a digital ecosystem including sensors (IoT), Blockchain, artificial intelligence (AI), and augmented reality (AR) that move data-driven insights from the data scientist to the boardroom.
Description
In this course, you will examine how data-driven decision making has implications for customer relationship management, privacy, security, and global government regulation that are shaping and are shaped by the democratization of information. This course examines big data analytics and business strategy, using visualization tools to improve decision making. More than an applied business statistics course, it is modernized to frame challenges in Industry 4.0 terms. From a marketing and customer relationship management perspective, you will learn the importance of the customer persona and buyer journey focused on how data transforms customer activities into insight. You will identify how to be a more effective diagnostic leader in a data-rich world, identifying opportunities to improve business performance.
Knowledge
- Explore types of data and statistical methods utilized for making relevant business decisions
- Develop insights about how companies understand customers through a digital ecosystem of technology and analytics
- Observe how data visualizations improve decision making
- Evaluate ways that data-streaming sensors including (loT), artificial intelligence (AI), and augmented reality (AR) utilize data within organizations
- Build effective leadership decision making strategies for a data-rich world
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