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

VP Product Research at DataCamp

Ramnath Vaidyanathan is the VP of Product Research at DataCamp, where he drives product innovation and data-driven development. He has 10+ years of experience doing statistical modeling, machine learning, optimization, retail analytics, and interactive visualizations.

Follow Ramnath on LinkedIn

Adel Nehme

Data Science Evangelist at DataCamp

Adel is a Data Science educator, speaker, and Evangelist at DataCamp where he has released various courses and live training on data analysis, machine learning, and data engineering. He is passionate about spreading data skills and data literacy throughout organizations and the intersection of technology and society. He has an MSc in Data Science and Business Analytics. In his free time, you can find him hanging out with his cat Louis.

Connect with Adel on LinkedIn and Twitter.

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