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Home » AI Maturity Models

AI Maturity Models

AI Leadership Insights: AI Maturity Models

By Mike Vizard|2023-09-01T15:43:11-04:00September 1, 2023|

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Data Management and Quality

Data Management and Quality

Step 1 of 6

16%

How would you best describe your organization's current level of data maturity?(Required)

Ad Hoc - Data is managed in an ad hoc manner with limited standardization or governance

Repeatable - Basic data management processes are in place, but there are still inconsistencies and “silos”

Defined - Data management processes are standardized and documented, but there is still room for improvement in automation and integration

Managed - Data management is proactive and integrated, with strong governance and automation

Optimized - Data is treated as a strategic asset and is fully integrated into business decision-making

Don’t know

Within your organization’s leadership , how highly prioritized is data quality compared to other data strategies (data collection, data security, data protection, etc.)?(Required)

Data quality is very high priority to my organization’s leadership

High priority

Same or similar priority

Low priority

Data quality is very low priority to my organization’s leadership

Which of the following data management and quality initiatives is your organization currently undertaking? (Select all that apply)(Required)

Data lake implementation

Data quality management

Data governance

Cloud data migration

Data warehousing

Other

Data integration

Other (please specify)

To what extent do you believe that AI or machine learning will impact your organization's data management and quality strategy in the next 3 years?(Required)

AI/ML will have a profound impact on my organization’s data management and quality strategy

Significant impact

Moderate impact

Slight impact

AI/ML will have little or no impact on my organization’s data management and quality strategy

Which of the following do you think are the three (3) most significant concerns at your organization regarding the adoption and use of AI?(Required)

Data quality and accuracy

Ethical or copyright/ownership considerations

Security and privacy

Lack of skilled personnel

No concerns

Cost of implementation

Concerns about accuracy, bias, or explainability

Integration with existing systems

Other

Other (please specify)

Thinking about your organization’s efforts to modernize its data infrastructure and architecture, what are your organization's top three (3) goals?(Required)

Other

Increase agility and responsiveness to business needs

Improve data quality

We have no goals; we are NOT making any efforts to modernize our data infrastructure and architecture

Enable advanced analytics and AI/ML initiatives

Reduce costs

We have no goals, though we ARE making efforts to modernize our data infrastructure and architecture

Improve data security

Increase data accessibility and usability

Other (please specify)