Data Maturity Model
This guide will help you achieve data maturity in your organization, unlocking new levels of insight, efficiency and innovation, and paving the way for successful AI implementation.
The journey to data-driven transformation
Becoming a data-driven organization requires a comprehensive data strategy that aligns data assets, technologies and business objectives to achieve desired outcomes. However, it is important to first understand the current state of your organization's data, the desired future state and the steps required to get there.
To address this need, WWT created our Data Maturity Model. This framework assists organizations in evaluating their current data capabilities and processes, charting a path toward higher levels of maturity to enable enterprise transformation. As organizations progress through the stages of data maturity, they can unlock new levels of insight, efficiency and innovation.
In this report, WWT's data experts detail how we view the journey to data maturity — from fragmented data sources and inconsistent, manual, ad-hoc processes to an optimized, data-driven organization. Along the way, we'll arm you with (a) a perspective on what your organization's data may look like at each stage of the maturity curve and (b) actionable steps to help you level up.
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