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The 5 Dimensions of Data Maturity


In the 2022 NewVantage Partners Data and AI Executive Survey, 97% of organizations are investing in data and machine learning. Still, only 26.5% claim they have created a data-driven organization. Becoming a data-driven organization is a long and arduous process that requires investments in multiple dimensions within the organization.

In this webinar series, we cover in great detail the path to becoming a data-driven organization. Starting with this first session, we outline the five dimensions of data maturity, as detailed in our Data Maturity Assessment.

We discuss how investments in infrastructure, people, tools, organization, and processes, can help you march down the path of data maturity. Moreover, we explain how to make the most of the data maturity assessment, and how to use it as you guide your organization’s data maturity.

Key Takeaways:

  • Introduction to our IPTOP framework for understanding your organization’s data maturity

  • How to advance in your organization’s data maturity

  • How to make the most of our data maturity assessment

Please make sure to watch the other sessions in our Data Maturity webinar series:

(1) The Infrastructure Component of Data Maturity

(2) The People & Organization Components of Data Maturity

(3) The Tools and Processes Components of Data Maturity

Adel Nehme Headshot
Adel Nehme

VP of Media at DataCamp

VP of Media at DataCamp | Host of the DataFramed podcast
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