Today we talk about the importance of business understanding to extract actionable insights, and common challenges in data analytics. We touch on the discrepancy between business needs and technical capabilities, the complexity of even getting hold of the data, the importance of reconciling metrics to maintain trust.
The biggest insight is that a lot can be done in Excel, and the way data teams operate and the buy-in they have from business leaders matter more than the tech stack. Francesco also shares his personal experiences and the lessons he's learned throughout his career.
00:43 Meet Francesco
00:53 Types of analytical workflows
01:08 Advanced Analytics and Data Science
02:17 Challenges in Data Access and Quality
05:18 What does a Business Analyst do?
21:32 Collaboration Between Analysts and Data Scientists
22:16 Frustrations and Solutions in Data Analysis
25:22 Balancing Data Accuracy and Speed in Business Analysis
27:53 The role of Data Engineers
28:59 Defining and Managing Business Metrics
33:05 The Importance of Data Strategy and Education
45:33 The Future of Data Analytics
48:09 What's next