No matter which industry you’re in, analytics are critical to drive business insights and therefore results. However, 80% of time is spent on preparing data for analytics and AI/ML projects and only 20% on drawing insights from the data. Automation becomes a critical success factor for effective data lake management to drive faster insights.
For faster analytics and insights, drive collaboration among your data user personas and operationalize AI in every single step of your data lake management supply chain:
- Data discovery and cataloging
- Data ingestion and integration
- Data preparation and quality
- Data security and governance
