DataFramed DataCamp

Data literacy at any organization takes buy-in from all levels of the company, from C-suite leaders all the way to customer-facing team members. But how do you get that buy-in, build a team around data literacy, and transform the way your company works with data?
Today’s guest, Megan Brown, Director of Data Literacy and Knowledge Management at Starbucks, discusses what they have done to forge data culture and data literacy at Starbucks.
Throughout the episode, we discuss
How to increase data literacy in an organization
How to secure executive sponsorship for data initiatives
The importance of user experience research in building data literacy 
Balancing short-term business needs with long-term strategic upskilling
Humanizing machine learning and AI within the organization 

Diversity in both skillset and experience are at the core of high-impact data teams, but how can you take your data team’s impact to the next level with subject matter expertise, attention to user experience, and mentorship?
Today’s guest, Dan Kellet, Chief Data Officer at Capital One UK, joins us to discuss how he scaled Capital One’s data team. Throughout the episode, we discuss:
The hallmarks of a high-impact data team
The importance of skills and background diversity when building great data teams
The importance of UX skills when developing data products
The specific challenges of leading data teams in financial services

As data volumes grow and become ever-more complex, the role of the data analyst has never been more important. At the disposal of the modern data analyst, are tools that reduce time to insight, and increase collaboration. However, as the tools of a data analyst evolve, so do the skills. 
Today’s guest, Peter Fishman, Co-Founder at Mozart Data, speaks to this exact notion. 
Join us as we discuss:
Defining a data-driven organization & main challenges
Breaking down the modern data stack & what it means
What makes a great data analyst
How data analysts can develop deep subject matter expertise in the areas they serve


Find every episode of DataFramed on Apple, Spotify, and more. Find us on our website and join the conversation on LinkedIn.
Listening on a desktop and can’t see the links? Just search for DataFramed in your favorite podcast player.

When you hear the term-digital first, you might think about tech, platforms and data.  But digital transformation succeeds when you put people first.
Gathering and analyzing data, then using it to provide the customer value and an unparalleled experience, is vital for an organization’s success.
Today’s guest, Bhavin Patel, Director o f Analytics and Innovation at J&J joins the show to share why people are the most important component to digital transformation.
Join us as we discuss:
Why you need to put people first
The importance of customer value and experience
Why digital transformation is an ongoing process, not an end-state 


Find every episode of DataFramed on Apple, Spotify, and more. Find us on our website and join the conversation on LinkedIn.
Listening on a desktop and can’t see the links? Just search for DataFramed in your favorite podcast player.

The data journey is a slow painstaking process. But knowing where to start and the areas to focus on can help any organization reach its goals faster.
Today’s guest, Vijay Yadav, Director of Quantitative Sciences & Head of Data Science at the Center for Mathematical Sciences at Merck, explains the 6 key elements of data strategy, complete with advice on how to navigate each.
Join us as we discuss:
The different components of a data strategy
Shifting mindset within the C-Suite
Structuring the operating model
Enabling people to work with data at scale
Most effective tactics to kickstart a community around data science


Find every episode of DataFramed on Apple, Spotify, and more. Find us on our website and join the conversation on LinkedIn.
Listening on a desktop and can’t see the links? Just search for DataFramed in your favorite podcast player.

It’s no secret that data science jobs are on the rise; but data skills across the board are rising — leading to what today’s guest calls “hybrid jobs.”
This will require a paradigm shift in how we think about jobs and skills.  
Today’s guest, Matt Sigelman, President of The Burning Glass Institute & Chairman of Emsi Burning Glass, talks about the difficulties of connecting companies with top talent, the hybridization of many positions, and how to position yourself in the ever-changing market. 

Join us as we discuss:
The methodology of using data science on the labor market
The demand for data skills & how they’re evolving
Blending skills to get ahead in the job market & the rise of subskills
How educational institutions can prepare students for hybridization 
Advice to the audience on how to structure their approach to skill acquisition 



Find every episode of DataFramed on Apple, Spotify, and more. Find us on our website and join the conversation on LinkedIn.
Listening on a desktop and can’t see the links? Just search for DataFramed in your favorite podcast player.