A Framework for Data Transformation

Key Takeaways:
  • Understand the current state of data transformation, and the urgency of becoming data-driven
  • Detailed discussion of how you can leverage the IPTOP Framework (Infrastructure, People, Tools, Organization, and Processes) 
  • Actionable steps that you can use to operationalize the IPTOP framework, to scale data literacy throughout your organization
November 10th, 10 AM EDT

Register for the webinar

Description

Earlier in the year, we released our Guide to Data Maturity which delved into the various data maturity stages organizations go through, and DataCamp’s proprietary IPTOP framework for traversing different maturity stages. 

In this webinar, DataCamp’s VP of Product Research, Ramnath Vaidyanathan, and Data Science Evangelist Adel Nehme will deep-dive into the IPTOP (Infrastructure, People, Tools, Organization, and Processes) framework and how it can be used to operationalize data-transformation programs. 

Moreover, they’ll use industry-specific examples of data transformation programs in action coming from Financial Services, Government, Professional Services, and more. Finally, they’ll cap it off on how you can start leveraging this framework to scale data literacy throughout your organization.

Presenter Bio

Adel Nehme Headshot
Adel NehmeData 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. Adel 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.

Ramnath Vaidyanathan Headshot
Ramnath VaidyanathanVP of Product Research at DataCamp at

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