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Lessons in Community Building from a Top Data Influencer

EPISODE 4

EPISODE 4

EPISODE 4

Lessons in Community Building from a Top Data Influencer

Lessons in Community Building from a Top Data Influencer

Lessons in Community Building from a Top Data Influencer

Meet the Guest

Ravit Jain

Ravit Jain is the Founder & Host of "The Ravit Show", a live LinkedIn and YouTube chat show featuring interviews with data science and AI thought leaders from around the world. Ravit is also the Head Community Evangelist at AtScale, where he helps customers build a more agile analytics infrastructure for better, more impactful decision making.

Watch the Episode

meet your host

meet your host

Chris Dutton

Chris Dutton

Chris Dutton is an EdTech entrepreneur and best-selling Data Analytics instructor. As Founder and Chief Product Officer at Maven Analytics, his work has been featured by USA Today, Business Insider, Entrepreneur and the New York Times, reaching more than 1,000,000 learners around the world.

Chris Dutton is an EdTech entrepreneur and best-selling Data Analytics instructor. As Founder and Chief Product Officer at Maven Analytics, his work has been featured by USA Today, Business Insider, Entrepreneur and the New York Times, reaching more than 1,000,000 learners around the world.

Top Takeaways:

  1. When it comes to building an audience or brand, listen to what the community is asking for, find opportunities where you can add value, and focus on quality and consistency

  2. Building a data-driven culture requires buy-in at every level of the organization, clear short-term goals and objectives, and a focus on both data literacy and governance

  3. When companies hire for data analytics talent, soft skills (like communication and strategic thinking) and technical proficiency are equally valuable

  4. AI shouldn’t be perceived as a threat to Data Analyst jobs, but rather a skill set that modern analysts can master to become more efficient and effective in their roles


Key Insights:


How do you think AI and tools like ChatGPT will impact the field of Data Analytics in the next few years? Should Analysts be worried about job security?

My take is that tools, like AI tools and Chat GPT, will have a significant impact on the field of data and analytics in the next few years. These technologies will automate many of the tasks that are currently performed by data analysts. This could lead to job losses for some, but it could also create new opportunities for others.


What would you consider some of the biggest keys to success when it comes to building a data-driven culture? Any common mistakes or pitfalls to avoid?

The first, and the most important key to success in a data-driven organization is the support that comes from the leadership team. Leaders need to create a culture that makes it known that they are willing to make decisions based on the data and the data story that they are considering. I also think data literacy is another important ingredient to success. Employees need to be able to understand and use data in a way where data literacy is a universal language within an organization. It is important for all employees within the organization to receive this training.


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