Maximizing Business Value with Data Platforms, Data Integration, and Data Management
Designed for individuals with different roles and responsibilities in selecting a cloud analytics platform.Focuses on five specific functions within an organization: Needing Insights, Analyzing Data, Perform Advanced Analytics, Owning The Analytics Strategy, and Owning The Analytics Infrastructure. Features each person should consider when comparing and selecting a cloud platform.
Cloud Analytics Platforms for Business Decision-Making
- Finding answers to these questions is time-consuming and resource-intensive.
- Scheduling: Platforms should integrate with services for sharing or visualizing information or third parties.
- AutoML: Automated Machine Learning and AI can help understand relationships and correlations in data.
- Visualization: Platforms should export data to BI visualization tools or create visualizations.
- Auditability: Platforms should contain a notetaking feature and provide a clear data lineage for external and third-party reviewers.
- Collaborating: Platforms should help users import data, assets, workflows, and more for analysis.
- Importing: Platforms should handle all different data sources your company uses.
- Centralization: Platforms should provide a searchable asset hub or database.
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