How to Succeed with Your Data Project at BNP by Being Agile
summary
A team at BNP Paribas describes delivering a Big Data project and a production data application in a few months using agile methods. They cover technical stack and implementation challenges plus human, cultural, and organizational obstacles and explain how agile practices helped overcome them.
AI-written summary · about
chapters (8)
- 0:00Start
- 4:052016, the operational reality of business managers
- 10:08Preparing the ground
- 10:35Our organization: A winning team
- 13:25Understanding the backlog and its product
- 13:55Understanding the product
- 18:34Project preparation
- 26:58Big Data
related talks
46mEstablishing Business Agility at the Bank
43mWhy Agile transformation fail
51mIncreasing Productivity and Reducing Costs in Big Data Ecosystems on AWS
16mRedefining Agile for Data Science: A Team First Approach
43mAgile Strategies for High-Impact Data Science & Machine Learning Projects
29mBuilding successful data teams in the realities of 2023
18mThe Transformation at BBVA
38mBenefits of Agility at Scale