Data-Driven Decision-Making for the Real World

Data-Driven Decision-Making for the Real World

44mIntermediate2022-04-11

Authors

Jamie Champagne

Jamie Champagne

Business Analysis Professional, Speaker, and Trainer

Course details

It doesn’t matter where you work—decision-making is a difficult but unavoidable fact of life. But what if it were easier? What if you could find a way to make smarter, faster, and more successful decisions? In this course, instructor Jamie Champagne shows you how to use data to drive better decision-making, inform long-term strategic planning, and deliver successful and sustainable outcomes in all areas of business.

Discover what data-driven decision-making looks like in a variety of real-world contexts. Learn how to spot the need for a more focused view on data, what data to gather, how to gather it, and how to utilize it to make successful decisions daily. Be it an operational, tactical, or strategic decision, there’s always room to improve. Jamie walks you through ten key activities to keep your decision-making process razor-sharp, highlighting the power of needs assessments, research design, data gap analysis, substitute data types, partnerships, data visualizations, and more.

Skills covered

Decision-MakingBusiness AnalyticsData ScienceProfessional DevelopmentLeadership and ManagementOne-Off

Concepts

Introduction

  • How to use data from daily to strategic decision-making

Identifying the Scenarios for Data Analysis

  • What business needs can be solved with data
  • What questions should you ask when using data for decision-making
  • How to have a prescriptive approach to data-driven questions

Leveraging Data for Decision-Making

  • How can you find the right data for the right decisions
  • What are data gaps to watch out for when making decisions
  • What are alternate and substitute data types used in decision analysis
  • How can you partner on data analysis for business decisions

Driving Business Decision-Making

  • How to leverage your data analysis for informed business decisions
  • How to visualize data that drives effective decision-making
  • How can you empower the business with smart, data-driven decision-making

Conclusion

  • Applying business data analytics techniques in your own work
40,000 Toman