1
Data Infrastructure and Storage
2
Data Sources and Variety
3
Data Quality and Integration
4
Data Platforms and Tools
5
Analytics and AI Adoption
6
Governance and Security
7
Data Strategy and Skills
Data Infrastructure and Storage
1. Where is most of your organization’s data stored?
Primarily on-premises
Hybrid mix
Mostly cloud
On-cloud only
2. What is the extent of your organization’s use of public cloud services for data storage and processing?
None or very limited
Some use
Extensive use
Nearly all in cloud
3. How many cloud providers (public cloud platforms) does your organization use for its data, and how well are they integrated?
Single-cloud with no integration
Mostly single-cloud with limited use of any others
Multi-cloud in progress with only partial integration
Fully multi-cloud and fully integrated
4. How scalable and elastic is your organization’s data infrastructure in handling changing workloads or growth in data volume?
Fixed capacity with difficult scaling
Limited scalability but not without disruption
Moderately elastic with some auto-scaling during peak periods
Highly elastic with automatic scaling
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