Data Chats Podcast Pragmatic Institute

"Good design is good communication. You can have great data, but if it's not presented effectively, no one's going to pay attention." 
- Christopher Laubenthal, Data Design Manager at DeBruce Foundation 
In this episode of the Data Chats, Eddie Gordon interviews Christopher Laubenthal, Data Design Manager at DeBruce Foundation, who shares strategies for effectively communicating complex data through design.
He emphasizes the importance of framing data with narratives, breaking down key areas of understanding and using clear language to reflect deeper insights gained from research. Christopher also stresses the importance of incorporating user feedback and testing to improve the effectiveness of visualizations. 
They dive deep into tested strategies, including: 
Using a hierarchical design to order information based on importance
Using narratives to frame data and engage the audience
Avoiding data literacy gaps by making data more accessible
Framing findings with compelling storytelling
Christopher's insights offer valuable advice for anyone looking to improve their data communication skills through design.
If you want to learn how to communicate data more effectively, this podcast is a must-listen.
Want to continue learning about this topic? Check out the resources to learn more about how to communicate data effectively with key stakeholders. 
Article | Communicating Data to Non-Data Teams
Article | The Power of Data Storytelling for Business Impact
Podcast | Strategies to Tell Better Stories with Data
Podcast | Lost in Translation: Overcoming Communication Barriers Between Data and Business Teams
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“Tell customers to be honest and give them the freedom to tell you the good, the bad and the ugly, because you will learn so much.” – Zack Wenthe
Zack Wenthe, customer data platform evangelist and senior technical product marketing manager at Treasure Data, recommends organizations start to leverage data to create a better emotional connection with customers. Consumer behavior has changed post-pandemic and brands now have to keep up by creating an emotional connection with their customers beyond just traditional advertising.
In this conversation with Chris Richardson, Zack explains that a true understanding of customers requires breaking down silos between teams and operating more efficiently, as well as creating meaningful profiles of customers that are deeply grounded in data. This means understanding how consumers interact with the brand, how customers make decisions emotionally and leveraging data to create meaningful decisions. 
So how can companies use data to create a more effective marketing strategy?
Create a center of excellence around customer data
Have cross-functional conversations about what the organization is collecting, what they want to achieve and what gaps need to be filled 
Ensure marketers and other team members know their objectives before asking for data from engineers
Measure success over time and test different variations of content based on emotional triggers while monitoring who's buying or clicking through the most
Don't miss out on this captivating conversation – hit play now to discover valuable takeaways that will reshape your perspective on consumer data.
Want to dive deeper into this topic? Check out the resources below for insights on harnessing the power of data to make informed decisions. 
Article | The Path to Data Democratization 
Article | Communicating Data to Non-Data Teams
Article | Leveraging Data as a Tool for Business Growth
Podcast | Using the Right Strategy to Transform Raw Data Into Business Gold 
Podcast | Lost in Translation: Overcoming Communication Barriers Between Data and Business Teams
Podcast | Why Data is a Business Asset and How to Measure Its Value
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This episode is from our latest Data Chat webinar >> watch the webinar
Unleashing the power of data analytics helps organizations maximize efficiency, uncover actionable insights, and drive business value. However, getting executives on board comes with its own set of challenges. So, how do you sell data analytics to the c-suite to become a more data-driven organization and leverage the power of data strategically?
Join us as Pragmatic Institute’s data instructors, Marilyn Coleman and Dr. Susan Gracia, discuss strategies and initiatives that will help you get and keep executive buy-in.
Data and business expert Marilyn Coleman shares:
Hesitations from executives on sponsoring data
Common obstacles on getting executive buy-in
How to overcome challenges on selling data analytics to the c-suite
How to leverage data with an optimized and repeatable approach
Expand Your Knowledge | Data Science for Business LeadersGenerating value from the data involves creating innovation, products, or insights. Learn to collaborate with data professionals to unveil business value, make informed decisions, and tackle problems effectively.

“Don't just assume that having advanced technology in place guarantees a solid data strategy. It can help you optimize and it can help you become efficient, but it cannot dictate your strategy.”-      Meenal Iyer
Host Chris Richardson is joined by Meenal Iyer, VP of Data at Momentive.ai (formerly SurveyMonkey), to discuss data science for business leaders and the evolution of data over the past two decades. They delve into the significance of data democratization and fostering a robust data culture within organizations.
The conversation addresses challenges such as governance and security while emphasizing opportunities for organizations to gain competitive advantages through faster access to insights and innovations derived from their data. Key points covered in the discussion include:
• Designing a user-friendly data platform• Anonymizing and tokenizing data for secure user access• Charting a roadmap and vision for a data strategy• Identifying strategic priorities and establishing a center of excellence• Enhancing processes and establishing success metrics
Data may be the new oil, but a well-crafted data strategy serves as the refinery that transforms it into valuable fuel. Discover how you can refine your data strategy and leverage data as a powerful asset in this engaging episode.
Expand Your Knowledge | Data Science for Business LeadersGenerating value from the data involves creating innovation, products, or insights. Learn to collaborate with data professionals to unveil business value, make informed decisions, and tackle problems effectively.

This episode is from our recent webinar >> watch the webinar
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“Data helps businesses understand their customers more, sell to them more and give them more relevant communications when they want to talk to them. It allows them to develop that relationship and to become that customer’s first choice.”-      Natasha Joslin
 
Sometimes, it feels like data teams are talking a different language than their counterparts. No matter how robust the data, insights often seem to fall onto deaf ears.
 
In this episode of Data Chats, Chris Richardson talks with Natasha Joslin, co-founder of Mojo, a data agency that helps businesses use their data to impact growth. They discuss how businesses need to bridge the gap between data teams, tech teams and business teams in order to get value from their data. Here are a few points they cover:
Have a common language when discussing customer metrics or product definitions so that insight can be gained more easily.
Leveraging data can mean different things depending on the context, such as customer research or web tracking.
Data should be presented in terms of stories and insights that are relevant to the business plan.
Good data governance practices democratize data so that everyone can use it without needing a computer science degree.
Just having data isn’t enough. If you want to learn how to use your data to make an impact, be sure to check out this episode.
 
Continue Learning | Data Science for Business LeadersLearn how to partner with data professionals to uncover business value, make informed decisions and solve problems.