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

0. Introduction

01 - Getting value from data to draw business conclusions

1. You Need Data Now

02 - Why data, why now
03 - Data drives decision-making
04 - Data context and digital transformation

2. Defining the Problem

05 - Identifying the business problem or opportunity
06 - How to break down the business problem into data requirements
07 - Driving to prescriptive questions

3. Identifying Current Data

08 - Identifying data you have
09 - Identifying data you need
10 - How to identify and use alternative data sources
11 - How to ask for help with data analysis work

4. Using Data to Draw Conclusions

12 - Identifying conclusions, not causation
13 - Important aspects of data conclusions
14 - Translating data conclusions for business decisions

5. Visualization of Data

15 - The importance of using visuals to share data
16 - How to present data conclusions in visual formats
17 - Presenting data through the use of storytelling

6. Presenting Recommendations

18 - How to present data in response to business requests
19 - How to identify data gaps
20 - Leveraging data to drive business decisions

Conclusion

21 - Data conclusions