<description>Rent the Runway is a business that’s dressed as a fashion company but has the bones of a tech startup. Their service allows customers to rent clothes for special occasions or everyday wear. Rent the Runway aspires to give customers the freedom to create a ‘closet in the cloud’ — receiving a rotating wardrobe of outfits that suit their style.  

Data drives all of the company’s operations — from personalizing recommendations, to efficiently dry cleaning and shipping clothes to customers. On this episode, Rent the Runway’s Chief Analytics Officer Vijay Subramanian shares:

-Why Rent the Runway made its first C-Suite hire in analytics.
-How to stop doing laundry by keeping your ‘closet in the cloud’
-How Vijay has baked data into the DNA of Rent the Runway.
-What you can do to take your company to the next level of being data-driven.</description>

Rent the Runway is a business that’s dressed as a…

Rent the Runway is a business that’s dressed as a fashion company but has the bones of a tech startup. Their service allows customers to rent clothes for special occasions or everyday wear. Rent the Runway aspires to give customers the freedom to create a ‘closet in the cloud’ — receiving a rotating wardrobe of outfits that suit their style.  

Data drives all of the company’s operations — from personalizing recommendations, to efficiently dry cleaning and shipping clothes to customers. On this episode, Rent the Runway’s Chief Analytics Officer Vijay Subramanian shares:

-Why Rent the Runway made its first C-Suite hire in analytics.
-How to stop doing laundry by keeping your ‘closet in the cloud’
-How Vijay has baked data into the DNA of Rent the Runway.
-What you can do to take your company to the next level of being data-driven.

Never Do Laundry Again: How Rent the Runway is Creating a ‘Closet in the Cloud’

<description>When Tad Martin first joined Overstock.com in 2000, he entered a company with a lot of valuable data waiting to be used, but lacking the technology to use it. As COO, Tad led a lengthy and pricey big data overhaul to get the company up to speed.

After he left Overstock, Tad wanted to empower other organizations to harness the power of big data in an easier way. He started Collective[i] for a profession that he thought was underserved in big data solutions: sales professionals. Using predictive analytics based on their network of sales professionals, Collective[i] makes recommendations to its users on things like which buyers to target and when.

In this episode, we explore:

-How sales professionals can make more money while doing less work using predictive analytics.
-What it means to create network effects with data.
-The strides big data technology has taken over the past two decades.
-And the things sales professionals get wrong when they don't rely on the data.

Deciding by Data is hosted by Jeremy Levy, the co-founder and CEO of Indicative. This episode was produced and edited by Lauren Feiner. Our music is by Chris Zabriskie and BoxCat Games.

This podcast is sponsored by Indicative, the leading behavioral analytics platform. Go to www.get.indicative.com to learn more.

Be the first to know when a new episode is released and stay up to date on the latest data news by signing up for our newsletter at decidingbydata.com/newsletter

Read more about the podcast and Tad Martin at decidingbydata.com. Follow us on Twitter @decidingbydata.</description>

When Tad Martin first joined Overstock.com in 200…

When Tad Martin first joined Overstock.com in 2000, he entered a company with a lot of valuable data waiting to be used, but lacking the technology to use it. As COO, Tad led a lengthy and pricey big data overhaul to get the company up to speed.

After he left Overstock, Tad wanted to empower other organizations to harness the power of big data in an easier way. He started Collective[i] for a profession that he thought was underserved in big data solutions: sales professionals. Using predictive analytics based on their network of sales professionals, Collective[i] makes recommendations to its users on things like which buyers to target and when.

In this episode, we explore:

-How sales professionals can make more money while doing less work using predictive analytics.
-What it means to create network effects with data.
-The strides big data technology has taken over the past two decades.
-And the things sales professionals get wrong when they don't rely on the data.

Deciding by Data is hosted by Jeremy Levy, the co-founder and CEO of Indicative. This episode was produced and edited by Lauren Feiner. Our music is by Chris Zabriskie and BoxCat Games.

This podcast is sponsored by Indicative, the leading behavioral analytics platform. Go to www.get.indicative.com to learn more.

Be the first to know when a new episode is released and stay up to date on the latest data news by signing up for our newsletter at decidingbydata.com/newsletter

Read more about the podcast and Tad Martin at decidingbydata.com. Follow us on Twitter @decidingbydata.

Using Data to Work Smarter, Not Harder: Lessons from Collective[i] CEO Tad Martin

<description>Kathryn Minshew didn't know what she wanted to do with her life, so she created a company to help others figure out their career fit. Minshew is the Co-Founder and CEO of The Muse, a careers platform that lets candidates peek into companies before they apply through photos and videos. Companies pay to have profiles on The Muse to stand out from competitors on text-heavy job boards and source candidates who understand their values before they step through the door.

In this episode, we explore:

-The important difference between a "career fit" and a "dream job"
-How The Muse uses data to help brands understand their own cultures.
-The role of AI in the careers space.
-The impact of automation on the future of employment.

This episode was produced and edited by Lauren Feiner. Our music is by Chris Zabriskie and BoxCat Games.

This podcast is sponsored by Indicative, the leading behavioral analytics platform. Go to www.indicative.com to learn more.

Be the first to know when a new episode is released and stay up to date on the latest data news by signing up for our newsletter: goo.gl/forms/FDhgnhRCfkydkjGr2

Read more about the podcast and Kathryn Minshew at decidingbydata.com. Follow us on Twitter @decidingbydata</description>

Kathryn Minshew didn't know what she wanted to do…

Kathryn Minshew didn't know what she wanted to do with her life, so she created a company to help others figure out their career fit. Minshew is the Co-Founder and CEO of The Muse, a careers platform that lets candidates peek into companies before they apply through photos and videos. Companies pay to have profiles on The Muse to stand out from competitors on text-heavy job boards and source candidates who understand their values before they step through the door.

In this episode, we explore:

-The important difference between a "career fit" and a "dream job"
-How The Muse uses data to help brands understand their own cultures.
-The role of AI in the careers space.
-The impact of automation on the future of employment.

This episode was produced and edited by Lauren Feiner. Our music is by Chris Zabriskie and BoxCat Games.

This podcast is sponsored by Indicative, the leading behavioral analytics platform. Go to www.indicative.com to learn more.

Be the first to know when a new episode is released and stay up to date on the latest data news by signing up for our newsletter: goo.gl/forms/FDhgnhRCfkydkjGr2

Read more about the podcast and Kathryn Minshew at decidingbydata.com. Follow us on Twitter @decidingbydata

Why Finding Your ‘Career Fit’ Is Better Than Your Dream Job, featuring The Muse CEO Kathryn Minshew

<description>Scott Heiferman created Meetup in 2002 to "use the Internet to get people off of the Internet."  Now, over 35 million members use the platform to meet nearby people with similar interests. At the end of 2017, WeWork — the company best known for its trendy co-working spaces — acquired Meetup.

In this live podcast recording at the UX + Data Meetup, we explore:

-Heiferman's time as a McDonald's employee.
-The lessons from the Internet that Meetup applies offline.
-How Meetup measures its impact.
-What the WeWork acquisition will mean for the future of Meetup.
-What Heiferman thinks of competition from Facebook.

This episode was produced and edited by Lauren Feiner. Our music is "Is That You Or Are You You" by Chris Zabriskie.

This podcast is sponsored by Indicative, the leading behavioral analytics platform. Go to www.indicative.com to learn more.

Be the first to know when a new episode is released and stay up to date on the latest data news by signing up for our newsletter: goo.gl/forms/FDhgnhRCfkydkjGr2

Read more about the podcast and Scott Heiferman at decidingbydata.com. Follow us on Twitter @decidingbydata</description>

Scott Heiferman created Meetup in 2002 to "use th…

Scott Heiferman created Meetup in 2002 to "use the Internet to get people off of the Internet."  Now, over 35 million members use the platform to meet nearby people with similar interests. At the end of 2017, WeWork — the company best known for its trendy co-working spaces — acquired Meetup.

In this live podcast recording at the UX + Data Meetup, we explore:

-Heiferman's time as a McDonald's employee.
-The lessons from the Internet that Meetup applies offline.
-How Meetup measures its impact.
-What the WeWork acquisition will mean for the future of Meetup.
-What Heiferman thinks of competition from Facebook.

This episode was produced and edited by Lauren Feiner. Our music is "Is That You Or Are You You" by Chris Zabriskie.

This podcast is sponsored by Indicative, the leading behavioral analytics platform. Go to www.indicative.com to learn more.

Be the first to know when a new episode is released and stay up to date on the latest data news by signing up for our newsletter: goo.gl/forms/FDhgnhRCfkydkjGr2

Read more about the podcast and Scott Heiferman at decidingbydata.com. Follow us on Twitter @decidingbydata

Live Interview: What the Internet Can Teach Us About the Real World, with Meetup CEO Scott Heiferman

<description>One day in 2003, Noah Glass was fed up with waiting in line for coffee. There must be a better way, he thought.

Today, he is the Founder and CEO of Olo, which provides order-ahead technology for 200 restaurant brands, including sweetgreen, Chipotle and Shake Shack, across 40,000 locations. Olo has raised over $63 million and says that when brands add digital ordering to their restaurants, they see on average a 25 percent increase in ticket size. In this episode, we explore:

-How delivery is changing the game for restaurants — and why grocery stores want in on the action.
-How data can construct the perfect menu.
-What weird ordering habits Olo keeps track of.
-Why Amazon would want to acquire Whole Foods.
-And so much more!

This episode was produced and edited by Lauren Feiner. Our music is "Is That You Or Are You You" by Chris Zabriskie.

We'd love to see you at our first live podcast recording on April 3rd at the UX + Data Meetup in NYC. We will be interviewing Meetup Co-Founder and CEO Scott Heiferman at work—bench at 110 5th Avenue, 5th Floor. Pizza is served at 6:45 p.m. and the event will begin at 7 p.m. Make sure to RSVP to save your spot: https://www.meetup.com/UX-Data/events/248756138/ 

This podcast is sponsored by Indicative, the leading behavioral analytics platform. Go to www.indicative.com to learn more.

Be the first to know when a new episode is released and stay up to date on the latest data news by signing up for our newsletter: goo.gl/forms/FDhgnhRCfkydkjGr2

Read more about the podcast and Noah Glass at decidingbydata.com. Follow us on Twitter @decidingbydata</description>

One day in 2003, Noah Glass was fed up with waiti…

One day in 2003, Noah Glass was fed up with waiting in line for coffee. There must be a better way, he thought.

Today, he is the Founder and CEO of Olo, which provides order-ahead technology for 200 restaurant brands, including sweetgreen, Chipotle and Shake Shack, across 40,000 locations. Olo has raised over $63 million and says that when brands add digital ordering to their restaurants, they see on average a 25 percent increase in ticket size. In this episode, we explore:

-How delivery is changing the game for restaurants — and why grocery stores want in on the action.
-How data can construct the perfect menu.
-What weird ordering habits Olo keeps track of.
-Why Amazon would want to acquire Whole Foods.
-And so much more!

This episode was produced and edited by Lauren Feiner. Our music is "Is That You Or Are You You" by Chris Zabriskie.

We'd love to see you at our first live podcast recording on April 3rd at the UX + Data Meetup in NYC. We will be interviewing Meetup Co-Founder and CEO Scott Heiferman at work—bench at 110 5th Avenue, 5th Floor. Pizza is served at 6:45 p.m. and the event will begin at 7 p.m. Make sure to RSVP to save your spot: https://www.meetup.com/UX-Data/events/248756138/ 

This podcast is sponsored by Indicative, the leading behavioral analytics platform. Go to www.indicative.com to learn more.

Be the first to know when a new episode is released and stay up to date on the latest data news by signing up for our newsletter: goo.gl/forms/FDhgnhRCfkydkjGr2

Read more about the podcast and Noah Glass at decidingbydata.com. Follow us on Twitter @decidingbydata

Can Data Build the Perfect Pizza Shop? Featuring Olo CEO Noah Glass

Ever wonder how your favorite businesses use data to optimize their strategies?

Each week on Deciding by Data, serial entrepreneurs Andrew Weinreich and Jeremy Levy interview business leaders about how numbers drive decisions at their companies. 

This podcast is sponsored by Indicative, the leading behavioral analytics platform.

Deciding by Data

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