Data-Driven Decision-Making for Business Professionals
59mBeginner2020-12-15
Authors
Jamie Champagne
Business Analysis Professional, Speaker, and Trainer
Course details
Business professionals need to know how to use and understand data today to be successful tomorrow. Instructor Jamie Champagne covers the information, skills, and practices that you need to make smart, fast, and informed business decisions. Jamie explains why data skills are required today, how successful leadership choices depend on drawing insights from data, and how to distinguish the driving factors that require analysis skills. She shows how to identify the business problem or opportunity, break down the business problem into data requirements, and drive to prescriptive questions. Jamie also discusses how to identify current data, use data to draw conclusions, and use visuals and storytelling to share data. Plus, Jamie steps through how to present data in response to business requests, identify data gaps, and leverage data to drive business decisions.
Skills covered
Decision-MakingBusiness AnalyticsPersonaData ScienceProfessional DevelopmentLeadership and Management
Concepts
Introduction
- Getting value from data to draw business conclusions
You Need Data Now
- Why data, why now
- Data drives decision-making
- Data context and digital transformation
Defining the Problem
- Identifying the business problem or opportunity
- How to break down the business problem into data requirements
- Driving to prescriptive questions
Identifying Current Data
- Identifying data you have
- Identifying data you need
- How to identify and use alternative data sources
- How to ask for help with data analysis work
Using Data to Draw Conclusions
- Identifying conclusions, not causation
- Important aspects of data conclusions
- Translating data conclusions for business decisions
Visualization of Data
- The importance of using visuals to share data
- How to present data conclusions in visual formats
- Presenting data through the use of storytelling
Presenting Recommendations
- How to present data in response to business requests
- How to identify data gaps
- Leveraging data to drive business decisions
Conclusion
- Data conclusions