How GE Aviation overcame the common barriers to self-service analytics

GE Aviation: From Data Silos to Self-Service

Cover

Barriers to self-service analytics and accurate, real-time insight exist at many levels for most organizations.

While technological barriers are the most obvious, and often the largest, roadblock on the path to analytics success, the role of culture in a successful digital transformation cannot be overlooked.

Read this case study to discover how GE Aviation was able to break down their siloed data architecture and build an architecture of AI-powered, self-service analytics across their company.

Vendor:
Dataiku
Posted:
Apr 5, 2021
Published:
Mar 10, 2021
Format:
PDF
Type:
Case Study
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