This course explains how businesses can use big data and advanced analytics, and the business value they can add. It begins by explaining where most businesses are with their current Big Data programs and the issues they face. The challenges of using data analytics and the business case for using data to improve management are a focal point. The focus on decision-making is extended to discuss the differences between decision support and decision management, and how predictive analytics can be incorporated into the firm. This course is designed to allow business professionals to make the case for, and frame the successful use of, data analytics in their business operations.
***Please download and open all supporting materials before starting the course videos.***
Learning Objectives
- Identify challenges (and mitigations) in successful adoption of predictive analytics.
- Recognize the value of predictive analytics in terms of improved decision-making.
- Explore existing practices in data analytics and cutting edge practices.
- Recognize the differences between backward looking and forward looking analytics opportunities.
- Identify opportunities for predictive analytics in business operations.
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Prerequisites
Viewers should be familiar with basic financial and accounting concepts. In addition, viewers should be familiar with Big Data and Business Intelligence, or review my existing courses on the topic.
Education Provider Information
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