The Art of Observability in Data Analytics

Highlights from this week’s conversation include:

• Reporting and Analytics Discussion (1:09)
• Automation in Reporting (3:16)
• AI's Impact on Analytics (5:00)
• Data Quality Challenges (6:56)
• Reinventing Reporting (9:23)
• Automated Reporting Services (14:35)
• Growth Trajectory of Reporting Tools (16:01)
• Market Size Comparison (18:04)
• Static vs. Time Series Data (21:27)
• Differentiating Reporting and Analytics (26:26)
• Ad Hoc Analysis vs. Reporting (29:52)
• The Role of Data Scientists (34:03)
• Planning the Reset (38:36)
• Focus on Business Problems (41:30)
• Identifying Business Needs (44:01)
• Heuristics and Intuition (48:03)
• Importance of Monitoring (52:20)
• Observability in Analytics (55:53)
• Observability in Metrics (58:08)
• Consistency in Definitions (1:02:39)
• Impact of Changing Definitions and Final Takeaways (1:04:15)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

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