Learn how to transform data into actionable insights for effective decision-making in this comprehensive 53-minute talk. Explore a systematic process that integrates machine learning techniques to improve decision-making capabilities and move closer to prescriptive analytics. Discover how to identify key performance indicators, decompose them into actionable metrics, and determine the levers that influence these metrics. Understand the role of uncertainty in decision-making and how machine learning can help embrace it in a data-driven manner. Delve into topics such as types of analysis, decision components, funnels, A/B testing, and supervised machine learning. Gain valuable insights on translating data into impactful decisions that drive business value.
Translating Data into Effective Decisions - Data Driven Decision Making - Data-Backed Decisions
Overview
Syllabus
– Introduction
– Overview
– What do we do?
– Types of analysis
– Decision making
– Decision components
– Metrics
– Funnels
– Levers
– Consequences
– A/B Testing
– Supervised ML
- QnA
Taught by
Data Science Dojo
