Fixing Enterprise Data Plumbing for Effective Big Data Analytics

Discover how to revolutionize enterprise data management in this insightful conference talk from Big Data Analytics Tokyo 2017. Explore the critical issue of poor data plumbing that forces data scientists to spend 80-90% of their time on data cleaning and preparation rather than analysis. Learn how Fortune 500 companies are leveraging automated data collection, organization, and preparation to gain hundreds of millions in value. Delve into case studies from GE and Toyota Motors Europe, showcasing successful implementations of unified data strategies for spend analysis, supply chain optimization, and customer understanding. Gain valuable insights into the blueprint for systematic, scalable approaches to enterprise-wide data preparation and analysis. Understand the core functions and models of Tamr's innovative approach to data integration, and how it differs from traditional methods. Equip yourself with knowledge to transform your organization's data management practices and unlock the full potential of your data scientists.

Introduction
Big Data Analytics
GE
GSK
Unified Data
Traditional Data Integration
Tamr Approach
Models
Core functions
Case study GE
Understanding key entities
Customer mastering
Supply chain optimization
Spend optimization
Questions