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Take the test to find out your data maturity score and get a personalized report to take your data team to the next level.

We assess data maturity across five dimensions:strategy, data assets & usage, data quality, talent & organization, and technology, to create a customized report for you.

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The Data Maturity Assessment

Data (and AI) is fundamental to company strategy, operations and in reaching company goals

All data teams and data products are measured and evaluated on return-on-investment

It is easy and fast for data team to clear budget for important team- and tooling investments

Data assets are ranked based on criticality and importance, and are prioritized accordingly for data quality

Data is used for reporting, follow-up and to augment human decision-making

Data is leveraged in predictions and recommendations for decision-making (AI/machine learning)

Data is used to automate decision-making

Data is used in repeatable and scalable ways, e.g. daily/monthly standardized updates

Clear processes exist for how to test and update data products

The entire data organization has a clear understanding of the business value each data asset creates

All data assets have clear owners

Data is collected and structured in an intentional way

Available data assets can be easily browsed. It's easy to find what one is looking for.

Company-wide data quality framework and practices exist, and are proactive in nature

Data quality is measured and monitored in a standardized way across data pipelines in the organization

Data quality practices prevent known data quality issues (volume, freshness), and unkown (subsegment issues, distribution shifts)

Data quality incidents would cause material business damage

Data quality is consistently high

People within the organization (also outside the data team) have high trust in data

Most of the time, there are people on-call to deal with urgent data incidents

Hiring data team top talent is a company-wide priority

Retaining data team top talent is relatively easy vs peer companies

Data roles and career paths are clear and comprehensive

Data roles exist throughout the organization and are well-integrated into the business

Data teams, roles and functions are structured in a way that aligns with data architecture

The entire company uses data for everyday decision-making

A C-level, vocal sponsor of data exists—and has real influence

There is an analytics data warehouse/environment that is separate from the production environment

Real-time streamed data is available for use cases where it makes business sense

State-of-the art tooling is used for components of the modern data stack, i.e. ETL, data warehouse

A self-service data platform is available to all technical team members

The success of data initiatives depend on a company's data maturity. Take the data maturity assessment to get your data maturity score and recommendations to increase data maturity.

Validio | The Data Maturity Assessment

You've overall scored as a data-led company which puts you in the very top 5% of companies on data maturity. This means you're best in class in. Your score might be higher in some areas than others, and there's a lot of opportunity for your company as a whole to lean even more on data as a core pillar and enabler of its strategy.

Your data maturity rating is:

You've overall scored as a data-informed company, which means you have a data maturity similar to 80% of organizations. This means you're just getting started on your data journey. Your score might be higher in some areas than others, and there's a lot of opportunity for you to lay the right foundation for the future.

You've overall scored as a data-driven company which means that you belong in the top 20% of organizations ranked by data maturity. You're well under way on your data journey. Your score might be higher in some areas than others, and there's a lot of opportunity for you to harvest even more benefits from using data in your day-to-day operations.

Stay on top of your data and metrics with automated monitoring, to boost data team productivity and make your data AI-ready.

What’s your data maturity score?