Data Maturity Test

Test your Data Maturity!

In just a couple of minutes you will:

✓ discover how data mature your company really is
✓ compare your score with industry benchmarks
✓ get personal recommended actions to improve your data maturity

Get Started!

We recommend answering the questions with a specific organisational scope in mind: the data team, your (data or IT) organisation, or the entire company.

Your organisational scope:

Please select the scope for your organisation.

Organisation

Check all the statements that apply to your organisation

There is ad-hoc data exploration or experimentation without clear guidelines

Data science sandboxes are available for experimentation purposes

Management takes data-driven decisions

The return on investment (ROI) of data and ML initiatives is measured

There is an exhaustive list of data platform requirements

Management publicly voices the importance of AI and data

Data and AI are indispensable to the company's strategy

Data and AI are used as tools to innovate and disrupt

People

Check all the statements that apply to your organisation

For every manager, there are at least 2 developers or engineers with technical skills

People apply data science and commit to building skills

Teams have autonomy, and leverage data-driven performance metrics to determine priorities

Managers have a conceptual understanding of data and analytics, and what it takes to build and run it

Engineers can industrialise a data product end-to-end

There is a culture of continuous improvement within the company

Data mesh principles are followed

Engineers are thought leaders in their field

Process

Check all the statements that apply to your organisation

Code is reviewed by peers

People are aware of and apply continuous testing, early feedback and reducing work-in-progress

Security tools are automatically leveraged

There are CICD pipelines in place that deploy to internal environments

Testing follows a "shift-left" approach

Environments contain representative test data

There is continuous deployment to production, multiple times per day

Security is part of the entire Software Development Life Cycle

Technology

Check all the statements that apply to your organisation

Cloud technology is explored for new use cases

Migration or the build of specific suitable applications to/in the cloud is in progress

Industrialised applications are preferred over ad-hoc scripts

The added value of infrastructure-as-code principles is explored

There is a trade-off between managed services and full-control services

Technical and business aspects are taken into account in architecture design and build-vs.-buy decisions

Cloud is leveraged for rapid experimentation and digital innovation

Everything-as-code principles are followed

Data

Check all the statements that apply to your organisation

There is basic data cleaning for AI and analytics purposes

There are measures in place to protect against accidental data deletion

Teams make clean data accessible for other teams

Access to sensitive data is protected

There are 5 or more batch data pipelines in production

There is an actively maintained data catalog

Data access is self-service and it takes less than one hour to access newly added data sources

Data mesh ideas are successfully implemented

Product

Check all the statements that apply to your organisation

The health of product components (e.g. dashboards) is clear

It is possible to reprocess data

Critical data components are highly available

There is a detailed disaster recovery plan

Data is leveraged to create internal data products

Service Level Agreements (SLAs) are set and monitored, and alerts are set

Data is leveraged to create external-facing data products

Less than 15% of changes to production leads to failure

Information

To get a clear view on the data maturity in different industries we kindly ask for a little more information about you and your company:

First Name:

Please fill in your first name.

Last name:

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Company Email:

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Your role:

Please select your role within your company.

Company Name:

Please provide a company name.

Industry:

Please select the industry that applies to your company.

Company Size:

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By Data Minded