Data Maturity Questionnaire

Basic KYC
Team Structure
Current State
Way of Internal Working
Way of external Working
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Basic Company Information

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Basic Contact Information

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Team Structure

What does the high-level org structure look like?

Please select at least one option.

Add department

Listed Departments

Rate Your Departments on their Data Literacy and Potential Data Impact

Do any of the departments have their own Data / Analytics team members?

Have any of them expressed interest in having their own team?

Would you want them to have their own team?

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What does the IT organization look like?

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Current State

What data/AI systems do you have / considered?

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What are the various systems your organization has?

How much of that data have you consolidated into Snowflake?

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What are you doing with that data?

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Accomplishments:

What are some key problems that the Data/AI team has been able to solve (or in progress) so far for the organization?

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What are some identified problems / opportunities that don’t have a path forward?

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KPIs:

What are the KPIs that are most critical to your business? Example: labor productivity, equipment utilization, cost performance, schedule performance

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Which of those would you be able to influence through data?

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Way of working (internal)

Do you have defined Data Policies?

Data Governance

Data Security

Data Access & Usage

Data Classification

Data Retention & Archival

Metadata Management

Data Sharing

Data Literacy & Training

Disaster Recovery

Business Continuity

High Availability

Do you have Data Cataloging tools and processes?

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Do you have Master Data Management tools and processes?

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Do you have mechanisms in place to enforce Data Security?

Access Control

Data Classification

Data Encryption

Network Security

Backup & Recovery

Data Masking & Anonymization

Security Awareness Training

Regulatory Compliance

Way of working (external)

Which departments do you provide services for today?

How does that work?

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Which departments have a need or opportunity for data services, but don’t really work with you today?

Why?

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Is there a Steering Committee that oversees the Data / AI roadmap of the organization?

Does someone have “ownership” of that Committee?

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What are the responsibilities of the Committee?

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How do you define the roadmap for a Department today?

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How do you define the overall Data/AI roadmap?

If you aren’t doing it, how would you like to do it?

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When you embark on a new initiative, who plays what role?

Defining KPIs

Requirement gathering

Experimentation / Rapid prototyping

Solution design

Project execution

Testing

Deployment

Training

Project management

Communication plan

Change management

Risk management

Compliance

Measuring and acting on KPIs

Once you launch a Data Product, who owns:

Maintenance

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Enhancements

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Monitoring:

Data Ownership

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Data Stewardship

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Data Quality Management

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What is your budgeting process?

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Who pays for what?

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Overview

Thank you for helping us understand your Business operations Better.

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Thanks for completing the Data Maturity Questionnaire.

We’ve received your responses.

What happens next

  • > A Data Mavericks analyst reviews your submission.
  • > You’ll get a brief summary with your preliminary maturity score and key gaps.
  • > We’ll propose a tailored next step (quick wins, roadmap, or a short consult).

Questions? Email us at hello@datamavericks.com

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