Skip to content
To understand the Data management challenges faced by commercial enterprises in building AI use cases
1.
: Which industry does your organization belong to?
A: Retail
A: Finance
A: Healthcare
A: Technology
A: Manufacturing
Other (please specify)
2.
What is the size of your organization (number of employees)?
Fewer than 500
500–1,000
1,000–5,000
Over 5,000
3.
What are the biggest data management challenges your organization is facing? (Select all that apply)
Data silos across departments
Data privacy and security concerns
Ensuring data quality and accuracy
High data processing costs
Lack of skilled professionals
Difficulty integrating legacy systems
Compliance with regulations (e.g., GDPR, CCPA)
Other (please specify)
4.
On a scale of 1–5, how critical is resolving these data challenges for achieving your business goals?
1: Not Critical
2: Slightly Critical
3: Moderately Critical
4: Very Critical
5: Extremely Critical
5.
How does your organization currently address these challenges? (Select all that apply)
Internal IT team
Managed services providers
Cloud-based solutions
Partnerships with data-focused vendors
AI-driven tools and automation
Other (please specify)
6.
Is your organization currently concerned with AI because of data management issues ?
Yes
No
7.
Q: If yes, in which areas is AI adoption difficult because of data issues (Select all that apply)
Predictive analytics and forecasting
Customer insights and personalization
Fraud detection and prevention
Data cleaning and integration automation
Supply chain optimization
Real-time decision-making support
Other (please specify)
8.
What are the main barriers to AI adoption in your organization? (Select all that apply)
High implementation costs
Lack of AI expertise
Data privacy concerns
Difficulty integrating AI with existing systems
Resistance to change within the organization
Lack of a clear business case or ROI
Other (please specify)
9.
In the next 2–5 years, what role do you expect AI to play in your organization?
Limited adoption for specific tasks
Moderate adoption in key areas
Widespread adoption across the enterprise
Other (please specify)
10.
What resources or support would help your organization better leverage AI? (Select all that apply)
Access to AI talent and training
More budget allocation for AI projects
Expert Resources
Other (please specify)
11.
Q: Please share any additional comments or insights on how overcoming Data challenges can improve AI adoption
12.
Contact Info
Name
Title
Organization
Email
Phone Number