AI & Data
Maturity Assesment
Becoming a data-mature organization is more than a technology investment; it’s a multi-faceted mission that touches all corners of your business. Uncover your organization or team’s data maturity.
What is the AI & Data maturity assesment
Designed for anyone involved in data—whether you are a data practitioner, data leader, or learning leader
Based on our IPTOP framework: Infrastructure, People, Tools, Organization and Processes
Your organization is ranked based on four maturity stages: Data Reactive, Data Scaling, Data Progressive, and Data Literate
The assessment now includes generative AI and how your organization is addressing it
The importance of data maturity
Now more than ever, organizations with the tools, processes, and culture to leverage an expanding amount of data hold a competitive advantage over those without. Data-mature organizations are naturally placed to harness AI to drive innovation and productivity and gain more value from their data.
%
of leaders recognize data literacy as the most important skill behind basic computer skills.
%
of chief data officers blame a lack of data culture as the main reason they are not data-driven.
%
of leaders agree that employees equipped with data literacy skills outperformed those without the same fundamental skills.
Drive your data maturity with the IPTOP Framework
There are five key pillars to consider when moving through the data maturity stages, each represented through our IPTOP framework:
Infrastructure: How data is collected, made discoverable, and actionable throughout the organization
People: Forging a data culture where everyone values data and AI and continuous learning
Tools: The tools uses across all skill levels to improve work with data and AI
Organization: How data and AI talent are organized to promote better data science
Processes: The workflows data and AI teams adopt to drive collaboration and business objectives
