In:Confidence

Data is the backbone of any sizable company and can be a very important aid when it comes to decision-making in organizations. But how heavily should we rely on data vs. our intuition when it comes to those decisions? Our guest reminds us that data strategy doesn't exist in a vacuum; keep it aligned to business strategy.
In this episode, Jeff Klagenberg, a data and application architecture thought leader, shares how his love of photography, philosophy, and physics have shaped his perspective on data strategy, and the role of confirmation bias.
Join us as we also discuss:
How to address the challenges to making data safe, transparent and accessible at scale
The importance of automation, metadata, and policies
Best practices in data management and data analytics
The value of embracing a growth mind-set related to data protection


You can find this interview, and many more, by subscribing to In:Confidence podcast on Apple Podcasts.
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On this episode of In:Confidence, Theresa Kushner, AI/Analytics Consultant at NTT DATA, joins us to share her perspective on data analytics and how it can be applied to solve real life business challenges. Theresa is passionate about helping companies derive value from data and her unique background in journalism helps her do just that.
But how, you ask? 
Through storytelling. Theresa heavily encourages the use of storytelling because it’s how people learn best and storytelling makes data applicable in our everyday lives. By creating a narrative to go along with the numbers, you can give those outside of your industry a better understanding of the problem at hand, which can lead to solutions.
Join us as we also discuss:
What is means to be a data evangelist or, the term Theresa coined, “Data-vangelist”
Why retaining the analytical value of data while maintaining privacy is critical 
The ideal approach an organization should use to ensure safe and secure use of their data
Trends in the industry related to A.I. 


You can find this interview, and many more, by subscribing to In:Confidence podcast on Apple Podcasts.
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Recent best practices in data are to quantify the value of data and embrace new tools and tech around data. But how do we roll that out globally?
In this conversation with Tina Rosario, Chief Data Officer, Europe at SAP and EMEA Regional Director for Women in Big Data, we discuss:
How to assign business value to data
The importance of embracing “data for good” 
How to build a company culture and effective policies around data intelligence
The impact of changes in government regulations, privacy, and security around data
The role of data in the French cultural and governmental response to Covid-19
How Women in Big Data is breaking down barriers and increasing diversity across the global data industry  


More information about Tina and today’s topics:
LinkedIn Profile: https://www.linkedin.com/in/tina-rosario-941391b/
Company Website: https://www.sap.com/index.html 
Women in Big Data: https://www.womeninbigdata.org/



You can find this interview, and many more, by subscribing to In:Confidence podcast on Apple Podcasts or here.
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How are data controls and privacy different between audiences? How is the entertainment industry innovating with data?
There’s been a thick curtain over the inner workings of media and franchises, and it’s interesting to think about how big-name brands approach data.
In this episode, Suja Viswesan, Senior Vice President and Head of Data at WarnerMedia, touches on innovation, and how personally identifiable information is protected.
We discuss:
Personally identifiable information—how is it protected?
Different controls for different audiences
Innovating with data
Challenges in the entertainment industry


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You can find this interview, and many more, by subscribing to In:Confidence podcast on Apple Podcasts or here.
Listening on a desktop & can’t see the links? Just search for In:Confidence in your favorite podcast player.

When an issue arises, most people are quick to look at people or technology as the source. But how often is the system looked at?
When working with data, having a system that doesn’t empower its employees can be the biggest detriment. If a team has a ceiling, there’s only so much that can be accomplished.
In this episode, Chris Bergh, CEO and "Head Chef" at DataKitchen, explains the data assembly line, its multitude of benefits, and why talking to your customers is the quickest, albeit uncommon, way to solve customer problems.
We discuss:
Marrying an assembly line, being a chef, & data operations together
Focusing on more than just customers as the end person
Selling an assembly line approach w/ fast results & low errors
Debunking data myths & steps for the future


Resource mentioned during the podcast:
The DataOps Cookbook


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You can find this interview, and many more, by subscribing to In:Confidence podcast on Apple Podcasts or here.
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In the age of big data, data security and data privacy are vital to maintaining customer trust and ensuring the long-term viability of an organization.
And the only way to successfully implement these initiatives is through modern data provisioning.
Jason du Preez, CEO of Privitar, joins the show to discuss modern data provisioning and how it fits into the larger picture of data privacy.
We discuss:
The founding of Privitar
The difference between data privacy and data security
Tips for building a culture around privacy by design
The importance of modern data provisioning and ethical data use


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The focus of a successful data science team should not be on building complex models. It should be on building compelling experiences and manifesting creative solutions—that's the way to transform industries.
Jorge Lozano, Manager of Data Science and Innovation, and his team at Steelcase use this approach and the organizational impact has been tremendous.
In this episode, Jorge breaks down some of the innovative initiatives his team has been working on and the lessons they’ve learned along the way.
We discuss:
His move from customer service to advanced analytics at Steelcase
How predictive leads emerged from the ashes of a failed customer churn project
How to get an entire organization on board for an analytics initiative
The role analytics plays in retrofitting office spaces for a post-COVID return
The transition from a team of data scientists to a data science team


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You can find this interview, and many more, by subscribing to In:Confidence podcast on Apple Podcasts or here.
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Formed in 2005, the idea behind the EDM Council was to create a trade association that would cater to the emerging role of the chief data officer.
Today, the organization supports data professionals by providing best practices for responsibly and ethically managing information—including, most recently, a framework on how to manage data in the cloud.
In this episode, John Bottega, President at EDM Council, explains how the association came to be and the important work that they do.
We discuss:
What the EDM Council does for data practitioners
The origin of the Cloud Data Management Capability (CDMC) Framework
Providing guidance around “data for good”
Data management myths and what’s on the horizon


Resources mentioned during the podcast:
EDM Council website
CDMC Framework


Join the In:Confidence Community.
You can find this interview, and many more, by subscribing to In:Confidence podcast on Apple Podcasts or here.
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When data is treated as technology, what inevitably happens is the business no longer feels like they own it—and it starts doing its own thing.
Now, rather than having a centralized depository of company data, you have a shantytown of data across your organization with everybody grasping onto their own departmental shards of information.
How do you escape a data shantytown?
In this episode, Anand Pandya, Chief Data Officer at Curinos, explains why treating data as a business-owned asset will help you break free of the dreaded data shantytown.
We discuss:
The benefits of a consultative approach
Why data needs to be seen as a business-owned asset
Why a CDO’s job is to answer the question, “now what?”
The importance of tying data professionals into the lifecycle of data


Join the In:Confidence Community.
You can find this interview, and many more, by subscribing to In:Confidence podcast on Apple Podcasts or here.
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Most people approach data and privacy from a business or legal perspective.
But today’s guest, Giorgia Vulcano, Global Digital Ethics Manager at AB InBev, uses a human-centered approach to data and privacy. It’s an approach centered on true moments of collaboration and co-creation between legal and non-legal teams.
In this episode, she shares why it’s essential that we put our data subjects at the center of everything we do and why collaboration is the only way to achieve the type of innovation we hope to achieve.
We discuss:
The Legal by Design Framework
How data ethics influences product development and innovation
How to integrate empathy into data processes
How to go from a global focus down to a local focus in design


Check out these resources we mentioned during the podcast:
Legal by Design Video
Legal by Design Framework
Privitar's Safe Analytics Resource Hub


You can find this interview, and many more, by subscribing to In:Confidence podcast on Apple Podcasts, on Spotify, or here.
Listening on a desktop & can’t see the links? Just search for In:Confidence in your favorite podcast player.