ASSESSMENT SECTION 1 OF 8
What percentage of your organization’s on-premises data management environment is provisioned as-a-service (i.e. applications, infrastructure management, and processes an organization employs to maximize the value of data as a resource)?
ASSESSMENT SECTION 2 OF 8
How automated are the following tasks in your data management environment?
Selection and provisioning of infrastructure
(set-up, configuration, SLA definition, deployment)
Ongoing management of infrastructure
(tuning, scaling, troubleshooting)
ASSESSMENT SECTION 3 OF 8
Is your organization using artificial intelligence/machine learning-enabled tools to predict and prevent issues and to automate data management and infrastructure operations?
ASSESSMENT SECTION 4 OF 8
Where is your organization focusing when it comes to data workload modernization (i.e., self-service enablement, automated management, etc.)?
ASSESSMENT SECTION 5 OF 8
How would you describe your organization’s ability to effectively and efficiently protect all its data across its infrastructure environments (i.e., on premises, at the edge, in the public cloud)?
ASSESSMENT SECTION 6 OF 8
Consider your organization’s mission-critical applications:
How quickly could you resume operations in the event of a ransomware attack?
What is your current level of protection to prevent data loss due to a ransomware attack?
ASSESSMENT SECTION 7 OF 8
What has been the recent trend in the number of infrastructure management-related tools and products in your data management environment?
ASSESSMENT SECTION 8 OF 8
When provisioning infrastructure for data-centric workloads, what do you prioritize?