Data Chats Podcast

GoDaddy’s Senior Data Scientist on Evaluating Customer Lifetime Value

This episode is from our latest Product Chat webinar >> watch the webinar

Customer life value (CLV) is a key indicator for businesses to better understand long-term and financial viability. A high CLV translates into brand loyalty, increases in sales and recurring revenue from existing customers. So how do you determine the customer lifecycle in your organization to improve interaction?

Learn strategies to evaluate and grow customer lifecycle value with Zach King, senior data scientist at GoDaddy. Zach will go in-depth on the importance of customer lifetime value, showcasing a framework to visually understand customer performance and drive long-term success.

Ethics and Data with Kristen Martin

“Businesses in the long term and people in the long term are better off strategically if they act in a way that people can trust,” — Kirsten Martin

In this episode of Data Chats, Chris Richardson interviews Kirsten Martin about how to approach data from an ethical lens.

Kirsten is the William P. and Hazel B. White Center Professor of Technology Ethics and a professor of IT, analytics, and operations in the Mendoza College of Business at the University of Notre Dame. Her new book is called Ethics of Data and Analytics and she is also the host of Tec Talks, a podcast about the impact of technology on humanity.

They discuss:

• Where to find the latest information on ethics in data
• How to integrate ethics into business decisions involving data
• Future trends for regulation
• New ethical questions that data is provoking
• The questions data professionals can ask to help improve data projects and ensure the work is ethical

Continued Learning
Data Science for Business Leaders
This course teaches you how to partner with data professionals to uncover business value, make informed decisions and solve problems. Learn More

 

Business-Driven Data AnalysisThis course teaches a proven, repeatable approach that you can leverage across data projects and toolsets to deliver timely data analysis with actionable insights. Learn More

How Organizations Can Better leverage Data by Focusing on Structure and Scalability

“If something takes longer to automate than to actually do it then don't automate it. Because that's something that we see happening a lot, that analysis that happens maybe once every quarter gets automated. There's no point in that.” — Marco Szeidenleder

 

In this episode of Data Chats, host Chris Richardson interviews Marco Szeidenleder, managing partner at Pandata GmbH about the early stages of data projects and the importance of building a strong foundation for scalability.

 

They discuss:

• How to identify quality and trustworthy data consultants
• Looking for compatibility when deciding whether or not to switch databases or tools
• Leveraging data dashboards effectively with stories
• Why building data structures is an iterative process
• How to avoid wasting resources on data projects
• Businesses that benefit the most from machine learning

Continue Learning | Data Science for Business Leaders
Data Science for Business Leaders shows you how to partner with data professionals to uncover business value, make informed decisions and solve problems.
Understand how business leaders and data practitioners contribute at each stage of data projects to drive results that have real impact on your organization
Learn More

How to Craft a Standout Tech Resume

Looking to spruce up your resume and stand out in the STEM field?

 

This episode features our elite resume writing service, RiseSmart, to discuss the tips and tricks on writing a killer resume to get you noticed for your first or next data job. RiseSmart will review the key competencies you want to have before applying and how to make them pop on a resume. You will also learn how written branding materials open doors and help individuals.

 

This episode also covers how to:

• Get market-ready faster
• Generate more interview invitations
• Establish a competitive advantage
• Project an image as a good fit for target companies
• Shorten job searches
• Produce better job offers
• Receive higher starting salaries

About our Partner:
Randstand RiseSmart
We empower organizations globally to excel by helping them unleash work-life possibilities for every employee throughout their employment journey.
RiseSmart was founded in response to rapid workforce changes, talent mobility challenges, and the absolute necessity for companies to establish stellar employer brands.
Since then, we have addressed the needs of organizations and their employees with innovations and a contemporary approach to career development and talent mobility.
Through Randstad, our parent company, Randstad RiseSmart has expanded its offerings to more than 100 countries and 40 industries.
We are now one of the world’s leading coaching and career transition firms.

Strategies to Tell Better Stories with Data

“It's really in that communication piece is where things either succeed or fail, irrespective of all the hard work that happened up until that point.” —  Cole-Nussbaumer-Knaflic

 

In this episode of Data Chats, Chris Richardson interviews Cole-Nussbaumer-Knaflic Founder & CEO of Storytelling with Data and author of ****best-selling books Storytelling with Data: Let's Practice and Storytelling with Data: A Data Visualization Guide for Business Professionals.They discuss:

• The importance of answering “so what” when sharing data
• How to do a better job of defining the audience for the data story
• Tips for communicating data after all the analysis is done
• The ways organizations can support data teams learn how to share insights through storytelling
• Strategies to get more comfortable with storytelling with data

Continued Learning
Data Science for Business Leaders
This course teaches you how to partner with data professionals to uncover business value, make informed decisions and solve problems.
Learn More

 

Business-Driven Data Analysis
This course teaches a proven, repeatable approach that you can leverage across data projects and toolsets to deliver timely data analysis with actionable insights. Learn More

 

Connect with Cole-Nussbaumer-Knaflic: Storytellingwithdata.com and follow her on LinkedIn or Twitter

Data Visualization and How to Stop Your Charts From Lying

“The first piece of advice I give people in the book is when you see a chart, don't assume that it's a picture that you can simply look at and quickly understand” - Alberto Cairo

In this episode of Data Chats, Chris Richardson interviews Alberto Cairo author of How Charts Lie, about why charts intentionally or not can mislead people, and how companies can create smarter visualization choices.

 

They discuss:

• Why there is never neutral choices in data visualization
• Ethical considerations in visualization techniques
• How to assess whether or not mean, median or mode is appropriate
• Finding a balance between simplicity and complexity in visualization practices

Continued Learning
Data Science for Business Leaders
This course teaches you how to partner with data professionals to uncover business value, make informed decisions and solve problems. Learn More

 

Business-Driven Data Analysis
This course teaches a proven, repeatable approach that you can leverage across data projects and toolsets to deliver timely data analysis with actionable insights. Learn More

[Panel] How to Promote Diversity, Equity and Inclusion in STEM

What does diversity, equity and inclusion really mean? And what does it mean for the world of STEM and those of us who are immersed in it?

We’re committed to fostering a diverse community here at TDI and it’s important that marginalized voices are heard within our unique platform. With the launch of our newest Diversity, Equity & Inclusion Scholarships, we wanted to take a moment to show off our amazing alumni and lift the voices of those who may not always be prominently seen in the data world.

Listen to our special ask me anything podcast as we focus on diversity, equity and inclusion in data with a panel of fantastic alumni who will tell us their unique perspectives and what it means to be part of the diverse revolution in STEM.

[Charles Wheelan Author of Naked Statistics] Why Data Projects Should Start with “Why”

“I don't love statistics. I don't love economics. I love what economics and statistics can do for me.” - Charles Wheelan

In this episode of Data Chats, Chris Richardson interviews Charles Wheelan, senior lecturer and policy fellow at the Rockefeller Center at Dartmouth College and author of several books, including Naked Statistics, Naked Economics and Naked Money.

 

They discuss:

• How to approach complicated topics like data and statistics when that’s not your area of expertise
• Examples of organizations using data brilliantly and examples of why data might fail
• Why persistence and investment are needed for successful quality data collection
• Why do we have to approach metrics cautiously to prevent distortion

Find all of Charles resources at https://charleswheelan.com/

 

Continued Learning
Data Science for Business Leaders
This course teaches you how to partner with data professionals to uncover business value, make informed decisions and solve problems. Learn More

 

Business-Driven Data Analysis
This course teaches a proven, repeatable approach that you can leverage across data projects and toolsets to deliver timely data analysis with actionable insights. Learn More

How to Earn a Full-Tuition Scholarship to Attend TDI

Are you worried about the next step in your data career? Or whether or not you can afford what you want in a data bootcamp?

 

What if we told you that you can attend The Data Incubator's Fellowship programs for free? Yes, we said free!

 

We offer full-tuition scholarships to the best and brightest that apply to our programs - and the best news is, this episode is dedicated to telling you how to earn that free spot and attend our world-class bootcamp for exactly zero dollars. (we're not kidding, pay nothing, no strings!) Instructor Robert Schroll will be going over:

1. The best ways to make your application stand out
2. How to prepare for the program before you even apply 
3. The tips and tricks you'll need to earn one of those limited free spots.

Apply before the July 29th Deadline: https://www.thedataincubator.com/apply/

Empowering Collaboration Between Data Practitioners and Product Managers

As data practitioners and product managers strive to gain actionable insights with the data at hand, it’s important for both roles to work collaboratively.

 

In this webinar hosted by Pragmatic’s Director of Community Georgina Donahue, discover:

• The intersection between data science and product management
• How data can be better integrated into the product development cycle
• Decision making models based on insights from data practitioners
• How to create strong partnerships between data practitioners and product managers

Pragmatic Institute’s data practice helps organizations leverage data to drive business success through practical, high-impact training. We provide individuals and teams with actionable guidance, hands-on practice and a business-oriented approach so they can solve problems and propel decision making with data. Pragmatic Institute builds expertise within data teams and stronger collaboration with their stakeholders. Explore courses such as Business-Driven Data Analysis and Data Science for Business Leaders.

AMA with Michael Li

Ever pondered a random data science fact? Been intrigued by data bootcamps? Wanted to know how to get hired in data science? Or what skills you must have to start? Maybe you're dying to know more about TDI?

Wonder no more! All your burning questions about data and TDI are answered in our most recent ask me anything with TDI Founder Michael Li.

Have a question that didn't get answered? Pop us an email at admissions@thedataincubator.com and we'll make sure Michael answers it next time. Don't hold back - we want to hear all your serious, wacky or challenging questions that you can't get answered anywhere else.

How AI Can Support Healthcare and Improve Lives

“It is game-changing technology, and we’re excited to bring that to market” - Awais Bajwa

 

In this episode of Data Chats, Chris Richardson interviews Awais Bajwa founder and CEO of Ophthalytics, an applied artificial intelligence company specializing in Artificial Intelligence-based medical diagnostics.

 

His company is using AI to help detect diabetic retinopathy, which affects millions of people globally. And nearly 1 million people will experience blindness because of the disease each year. More importantly, there aren’t enough retina specialists who can diagnose patients and establish a treatment plan for them.

 

Using AI, his company is helping primary care physicians and diabetic centers detect the disease.

 

They discuss:

• Where Awais sources the data for his company and ensures its accuracy
• How he finds valuable feedback that informs its development
• Ways to approach the architectural side of data

Continued Learning
Data Science for Business Leaders
This course teaches you how to partner with data professionals to uncover business value, make informed decisions and solve problems. Learn More

 

Business-Driven Data Analysis
This course teaches a proven, repeatable approach that you can leverage across data projects and toolsets to deliver timely data analysis with actionable insights. Learn More