If There's No Analytics in the Data, There Should Be Nothing
summary
Mercado Libre's Business Intelligence team explains how they built an analytical culture to make the company data-driven: they use data and embedded machine learning in daily operations across business units to enable better decision-making and empower users to generate their own insights. The talk covers practical development of analytics capabilities and processes at Mercado Libre to extract competitive advantage from rapidly growing data.
AI-written summary · about
chapters (18)
- 0:00Introduction
- 2:11Traditional data limits
- 3:59Self-service shift
- 5:22Three pillars of analytics
- 7:12People team’s role
- 9:27Adapting team profiles
- 10:33Identifying enthusiasts
- 13:05Building self-service teams
- 15:42Training and skills
- 17:30Personalized training
- 18:56Scaling with workshops
- 19:37E-learning launch
- 21:01Onboarding culture
- 22:28Career growth
- 23:52Building community
- 26:02Collaboration tools
- 28:12Summary
- 29:16Q&A
related talks
17mAnalytical Marketing: Using Data to Sell More
14mBuilding a Data-Driven Culture: An Anthology of Strategies and Insights
31mTurn That Data Into A Differentiator – How Analytics Can Drive Product Value
48mData Culture: Data Science and Machine Learning Solving Real Problems
43mConsumer Intelligence and the Age of Predictive Marketing Analytics
22mData Analysis in the Age of Data Democratization
19mInsights for Everyone - Democratising Analytics
36mAssuring Business Outcome Through Analytics
