Data Maturity Scan
Data is everywhere, but is your organization making the most of it? Many companies invest in dashboards, BI tools, and AI but lack a structured approach to leveraging data for strategic decision-making. We believe that your solid data & automation ideas deserve to take flight. With the Data Maturity Scan, you’ll discover where your organization stands on the Data Maturity Ladder and receive a concrete action plan to take your data strategy to the next level.
Why would you do this scan?
The Data Maturity Scan is built on the DELTA Plus Model by Tom H. Davenport, a recognized framework that helps organizations assess and enhance their data maturity. By completing the scan, you will receive:
- Insight into your data maturity – understand where your organization stands on the data maturity scale.
- Targeted recommendations – concrete steps to strengthen data-driven decision-making.
- Industry benchmarking – compare your data strategy against market standards.
What is the Data Maturity Ladder?
The Data Maturity Ladder helps organizations gauge their analytics maturity and growth potential. The five stages of data maturity are:
- Analytical Beginner – data is inconsistent, fragmented, and decisions are made based on intuition.
- Localized Analytics – some departments use data, but silos limit its full potential.
- Analytical Aspirations – centralized data storage and structured analytics processes are emerging.
- Analytical Companies – data and analytics are embedded in core processes and support strategic decision-making.
- Analytical Competitors – AI, machine learning, and automated decision-making are deployed at scale for a competitive advantage.
What does this Data Maturity Scan measure?
The scan evaluates your organization across eight critical pillars of data maturity:
- Data Governance & Management – how reliable, accessible, and well-managed is your data?
- Enterprise Data Strategy – to what extent is there a centralized, organization-wide approach to data and analytics?
- Leadership & Culture – how engaged is leadership in fostering a data-driven culture?
- Strategic Use of Analytics – is data being leveraged for strategic decision-making and business growth?
- Analytics Skills & Talent – does your organization have the right expertise to extract value from data?
- Technology Infrastructure – does your IT stack support advanced data analytics and AI?
- Data Analysis Techniques – what analytical methods and models are currently being used?
- Adoption & Integration – how well is analytics embedded into everyday processes and decision-making?
Why Is data maturity important?
According to the International Institute for Analytics (IIA), the average organization has a data maturity score of 2.2 on a 5-point scale. This indicates that many companies are still in the early stages of fully utilizing their data. Understanding where your organization stands allows you to take the right steps toward a more strategic use of analytics.
What are the benefits of increasing data maturity?
- Faster and more informed decision-making – data is actively used in both operational and strategic processes.
- More efficient processes – reduce inefficiencies in data integration and manual analysis.
- Stronger competitive position – advanced analytics provide deeper insights and a strategic advantage.
- Better AI and Machine Learning implementation – well-managed data forms the foundation for successful AI adoption.
Take the scan and strengthen your data strategy
In just a few minutes, you’ll gain clarity on where your organization stands and what steps are needed to maximize the impact of data.
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