Catalog & Cocktails: The Honest, No-BS Data Podcast

The new year means it’s time for another trek around the sun. It’s also time to make a few predictions about what might change in data & analytics. Is it time for data practitioners to participate in boardroom conversations? Will we see data teams embedded in business units? What new technologies will become part of the modern data stack? Join Tim, Juan and Sarah Catanzaro from Amplify Partners,, to discuss what’s in store in 2022. This episode will feature: Suggestions on organizational design that keeps data closer to the business teams. Ways to address data gaps in strategic decision making What was the best/worst prediction you made at the start of 2021?

Juan and Tim sit down for the Catalog & Cocktails Season Three Premier with Sarah Catanzaro from Amplify Partners to discuss what’s in store in 2022. This Takeaway episode will feature the summary of the upcoming episode.

Let's wrap Season Two of Catalog & Cocktails with the Takeaways of the Takeaways!

In this wildly diverse yet hyperconnected world, it's hard enough to understand how people communicate with one another. So how do machines do it? Join Juan, Tim, and special guest, Steve Whitla from Visual Meaning for a discussion about how humans and systems talk to one another, and even have meaningful conversations. Also in this episode: The role of semantics in reaching shared meaning What constitutes "understanding" when it comes to machine to machine communication Better talking machine: K.I.T.T. or Johnny 5?

In a relatively short time, we’ve gone from collecting and neglecting data to managing, enriching, and learning from data. We are in the age of collective data empowerment, where user-friendly apps and data ubiquity mean almost anyone can answer complex business questions. So why does the “data-driven” enterprise still sound like a pipe dream? Join Tim, Juan and special guest Kelly Wright, president and COO at Gong and former EVP at Tableau, for a discussion on data and analytics past, present, and future. This episode will feature: Ways organizations can maximize the value of data they are already collecting How to address challenges with data and application sprawl The Gong Show was a popular TV talent show in the 70s. What was your favorite game show growing up?

The modern data stack is often defined by the type of technologies that exist within it. Cloud-based, open source, low/no code tools, ELT, and reverse ETL. But surely there’s more to it… isn’t there? What holds the modern data stack together and makes it the architecture of choice for so many data-driven enterprises? Join Tim, Juan and special guest, Nick Schrock, founder of Elemental and creator of Dagster and GraphQL, to chat about all things MDS. This episode will feature: Is modern data stack a methodology or a set of disparate cloud technologies? Thoughts on consolidation among MDS tools Describe your reaction upon glancing at Matt Turck’s latest data landscape diagram

It wasn’t that long ago that enterprise software was dominated by proprietary data architectures from the likes of IBM, Oracle, and SAP. Once you made a selection, you were stuck with it for better or worse, in sickness and in health. But that’s not the case today. The methodical movement towards resilient, open SaaS applications and best-of-breed tools has ushered in the era of DataOps buoyed by the “modern data stack.” But, is this a good thing? Join Tim, Juan and special guest Andy Palmer, CEO of Tamr, to talk open vs. closed ecosystems and how to decide what’s right for you. This episode will feature: How DataOps will reshape the next wave of best-of-breed systems Will monoliths make a comeback? What was a big purchase you made that you almost immediately regretted?

Self-service is great for listening to music, pumping gas, and figuring out what to binge watch on TV. But is self-service really what we want from our analytics? What happens to the business world when everyone is a data analyst? Tim, Juan, and special guest Cindi Howson, chief data strategy officer at ThoughtSpot and host of The Data Chief Podcast explore the positives and potential downsides of data democratization and how to drive data cultures that bias for good. This episode will feature: How BI in the enterprise evolved from the domain of the few to a tool for the many Why change management is critical for improving data cultures What’s something that’s not self-service today but probably should be?

Former Spotify and Better.com expert Erik Bernhardsson joins hosts to discuss trends in data tools, including the pros and cons of SQL, the rise of low code solutions, and the consolidation of data tools into one platform. They also explore the shift towards business logic over data shoveling and predict further industry consolidation.

If data, and information more broadly, is a company's most important asset, then why is it so often treated with less respect than office furniture? It's in various states of disarray, often unaccounted for, and employees bring it home against corporate policy. This week, we're joined by Doug Laney, author of the best-selling book, "Infonomics: How to Monetize, Manage, and Measure Information as an Asset for Competitive Advantage.” We'll talk about taking better care of your data, so it can take better care of you. This episode will feature: Tips for how to truly measure the value of all your information assets Steps for getting your information house in order Is data the new oil, bacon, gold, oxygen, currency, or sand?