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The Path to Data Fluency

In a previous webinar series, we discussed at length how organizations can scale their data strategy, and their data science practice, through the lens of our proprietary IPTOP framework. The core idea presented in this webinar series was how organization-wide data fluency can be attained as a result of scaling five key pillars simultaneously—Infrastructure, People, Tools, Organization, and Processes. But this requires careful orchestration as organizations advance through different stages of data maturity.

In this webinar, DataCamp’s VP of Product Research, Ramnath Vaidyanathan, will break down the four stages of data maturity organizations will go through, from data reactive to data scaling, data progressive, and data fluent. He will also demystify the defining characteristics of each stage of data maturity in terms of Infrastructure, People, Tools, Organization, and Processes. Finally, he will uncover the steps organizations need to take to transition from one maturity stage to another.

Ramnath Vaidyanathan Headshot
Ramnath Vaidyanathan

VP Product Research at DataCamp

Adel Nehme Headshot
Adel Nehme

Data Science Evangelist at DataCamp

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