The company provides analytics services to manage and optimize multi-platform clouds, aiding enterprises in intelligently managing their cloud needs. Thousands of global customers.
Characterize companies according to cloud usage.
Big data – 50M entries, 425 features.
Data contains cloud usage statistics and specifications.
Spark and H20 for preprocessing and machine learning.
Custom software for display, exploration, and examination of the results.
Business Impact and Insights
Customer segmentation was semantically-driven, allowing different levels of drill-down analysis:
- High-level clustering: Storage Oriented or Instance Oriented data partitioning
- Low-level clustering: ~3 clusters for each orientation-based resource usage
Customer segmentation provided the basis for a recommendation engine to facilitate efficient cloud usage.