Category: Data/Analytics

Disclaimer:When I bring technology vendors on the show, you should know that they are not sponsors or affiliates. They’re simply here to give you a broader perspective.

Puneet Gangrade is a Customer Success Engineer, an active amateur soccer and badminton player and a resident of New York City who originally hails from Indore, India

He works at Habu, a data clean room software company, with the goal of creating reliable data and media strategies for all of his clients. He is responsible to work with Habu’s Engineering, Product teams, and clients on end-to-end workflows including clean room adoption, onboarding, planning, implementation, and growth. Habu works across distributed data platforms that allow agencies, publishers, advertisers, and their partners to truly unlock the potential of data and collaborate in a privacy-safe manner. 

He has been a data clean room enthusiast since the beginning of 2018. Previously, he worked as a Digital Analytics Specialist at Time Inc till Oct 2017 and as a Data Science Team Lead at MightyHive, an adtech agency from early 2018 to mid-2022. He has a BS in Computer Science and earned his MS in Marketing Intelligence from Fordham University Gabelli School of Business, with a concentration in Marketing and Analytics.

Amid the rise of advanced measurement techniques in media and other industries, he likes to keep learning about various data clean room technologies and constantly think of use cases in media, finance, CPG, pharma, etc. where data clean rooms could be leveraged. He continues his passion for everything related to data clean rooms and data collaboration at Habu.

People/Products/Concepts Mentioned in Show

Puneet’s LinkedIn Profile

Puneet’s Twitter Profile

Company where Puneet works: Habu

Description of Walled Gardens

Concept of an Escrow (example given with finance can also be applied to data)

Episode Reboot: Read this background article: Data clean room: A silver bullet to a post-cookie transition?

No about analytics is complete without talking about how to visualize data. A picture’s worth a thousand words, right? In the past, when data was in a spreadsheet, it only took hitting that ‘chart’ button to render some numbers visually. But for many of us, this experience has moved to a browser where we build our own report, either in an interface like GA or in a standalone visualization tool. 

I’m talking with someone who’s really good at a visualization tool, but came by his power-user status in a roundabout way. My guest was born and raised in Hawaii.  After he got his Marketing degree, he worked at an ad agency where he did everything from videography to FB and G-ads writing. That, and also building a few websites, stoked his curiosity for how the tagging and the analytics behind all these things worked. He didn’t just want to get at raw data, he wanted actionable data.  He felt that to optimize his marketing, if he only knew how to present visitor behaviour data visually, the answer would be apparent – even obvious.  

He went down YouTube rabbit holes, asked around at conferences, and eventually landed on the beta of Google Data Studio, now called Looker Studio.  And that’s the Data Visualization tool we’re talking about with JJ Reynolds, who joins us from Reno NV.

People/Products/Concepts Mentioned in Show

• JJ’s agency, Mediauthentic
• JJ’s LookerStudio.VIP
• JJ’s cohort group, BetterThanData
• Google Looker Studio
• Criteo
• NextRoll (formerly AdRoll)

You may want to check out these related episodes:

Episode 9: How Dashboards Make the Whole Funnel Work

Episode 93: Visualizing & Making Data Valuable, with Eric Boissonneault

We had to see it coming. We marketers have been getting more and more data. From on-premise CRMs and site logs in the early days, then marketing SaaS products and API calls that pipe data in all directions, there’s data everywhere. It goes without saying that we need help making sense of all this data. Most marketers wouldn’t consider themselves natural statisticians. Enter the analyst, who knows how to wrangle, normalize and visualize those data points, and maybe even get it cleaned and dressed for dinner. 

There are marketing teams who’ve got analysts onboard, but it isn’t an industry-standard practice just yet. Some leaders in the analytics community make the case elegantly of how this role helps marketers. And I’d count my guest today as being a vocal advocate for why we need analysts.  

In his day job, he is Senior Director of Analytics at Search Discovery. But that only scratches the surface of all that he does. He’s also a perennial  conference speaker and writer on many topics in analytics.  To me, he typifies how one can be a digital analyst despite having a non-analytics background. In his case, he obtained an Architecture degree before entering the field.

Joining me from Columbus, Ohio, let’s hear from a man who some call the quintessential analyst, Tim Wilson

People/Products/Concepts Mentioned in Show

• Tim on Twitter where you’re bound to see some of his nature photography 
• Tim on LinkedIn
• Tim’s personal website
• Monthly events he helps host in his hometown Web Analytics Wednesdays in Columbus 
• MeasureSlack
• See his Superweek 2022 talk
• Avinash Kaushik
• Causal Inference
• HAL9000
• Jim Cain
• Simo Ahava
• R programming language

Episode Reboot:

Check out the podcast which Tim co-hosts, Analytics Power Hour