It’s good to know what happened, it’s better to know what will happen.

But in a year like this year, historical data means nothing.

The current pandemic is unprecedented and has thrown a wrench in forecasting models all over the world (ours included)

Revenue Operations leader at Jellyvision, Zack Blois, joined us on this week’s episode to talk about the problem with relying too heavily on historicals.

We discuss:

If you want to hear more, subscribe to Leading with Data on Apple Podcasts, Spotify, or here.

Implementing new technology can be stressful for everyone involved.

And knowing how to deploy new technology successfully is largely dependent on change management (especially in analytics).

So, how do you successfully deploy innovative tech and make a positive impact?

In this episode, guest hosts Stef Caldwell and Ryan Kurt are joined by Avi Deshpande, Head of Architecture & Data Analytics, AI and ML at Logitech.

Avi draws on his own experience and shares his tips to find the right business partners and use cases to successfully implement new technology like machine learning (ML), artificial intelligence (AI), and natural language processing (NLP).

If you want to hear more, subscribe to Leading with Data on Apple Podcasts, Spotify, or here.

Colleges faking data to improve rankings.

A sales manager manipulates the numbers so they “look good”.

Applications on your phone using your user data to alter behavior and sell advertisements.

These are just a few examples of the ethical dilemmas that can arise when collecting, analyzing, and distributing data.

This week we’re joined by Lexy Kassan from The Data Science Ethics Podcast.

We discuss:

Links from this episode:

If you want to hear more, subscribe to Leading with Data on Apple Podcasts, Spotify, or here.

Every story has characters. In an effective data story, they are the business priorities -- relationships, markets, brands, offerings, etc.

This week we spoke with the Data Whisperer, Scott Taylor, about data management and improving your data story by finding the right characters.

You’ll learn:

Here are the links mentioned from the show:

If you want to hear more, subscribe to Leading with Data on Apple Podcasts, Spotify, or here.

In 1952, automation was poised to wipe out the most common jobs.

And in 70 years, it managed to get rid of only one.

Why? Because there is a difference between a task and a job.

That’s one of the many insights Nate Nichols has learned as Chief Scientist at Narrative Science.

Nate came on the show today to discuss:

Check out these resources we mentioned during the podcast:

If you want to hear more, subscribe to Leading with Data on Apple Podcasts, Spotify, or here.

The modern world is built on experimentation.

It drives everything that makes the world modern.

So why is it so uncommon to see the word in a job title?

Well, as you can see, today’s guest Eric Weber, GP of Experimentation and Metrics Research at Yelp, is the exception.

In this episode, he explains:

If you want to hear more, subscribe to Leading with Data on Apple Podcasts, Spotify, or here.

What do you do when the job you want doesn’t exist?

You don’t just wait for your boss to read your mind.

You make it yourself.

That’s how Kimberly Herrington, Data Journalist at BlueCross BlueShield of Western New York, landed her dream job. Now, she gets paid to tell the compelling stories she finds in numbers.

She joins us on the show today to go over a wide range of topics from the world of data journalism.

We discuss:

Check out these resources we mentioned during the podcast:

If you want to hear more, subscribe to Leading with Data on Apple Podcasts, Spotify, or here.

Why don’t movies start with the ending and then give you the details that led up to it in reverse order of importance?

Well, mainly because Hollywood wants money — which they can’t make with terrible stories.

So why do we present data this way?

Every human craves a great story. And if you can get insight from the data, you can tell a story.

That’s what Brent Dykes, Senior Director of Insights & Data Storytelling at Blast Analytics and Author of Effective Data Storytelling, believes.

In this episode, I catch up with Brent to discuss:

If you want to hear more, subscribe to Leading with Data on Apple Podcasts, Spotify, or here.

Welcome to Leading with Data, a podcast by Narrative Science!

If you’d like to learn more about Narrative Science, or have a topic or guest suggestion, feel free to contact us at [email protected]

You can find this conversation, and many more, by subscribing to the show on Apple Podcasts, Google, Spotify, or Stitcher.