Solomon Kahn

Founder & CEO at Delivery Layer | ex Nielsen P&L owner | ex unicorn SaaS VP of Data | Host of the Data That Drives Revenue Podcast

I'm a long-time data leader, currently leading ReportingApplications.com, a consulting company focused on building - you guessed it - Reporting Applications.

Why Reporting Applications?

Because they’re tricky to build in ways that most companies don’t realize until they are live with customers and dealing with unexpected business problems.

We believe there’s an art to building great reporting applications, but not many people have focused on this area deeply enough to become experts.

By working with us you can benefit from our many years of lessons learned.

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Prior to starting ReportingApplications.com I was the founder of Delivery Layer - a SaaS product that powered customer facing reporting applications.

Before that I was VP of Data Strategy at Helium 10 where I led all things data (Data Engineering, Data Science, Data Product Development and Analytics). I previously ran product & analytics with P&L responsibility for Nielsen Sports, the global leader in Sports Sponsorship data.
  
Early in my career I ended up with the mix of statistical, business analysis and programming skills that would turn into the ideal background for a data scientist. Since then, I've been leading data teams, building data products and running data businesses.

My philosophy is that data isn't the hero - it's the sidekick. It's only valuable if it improves the lives of your customers, or helps someone make better decisions.

Get in touch if you need to build a reporting application!

And connect and follow along for lots of content around data leadership, becoming a better data person, and (of course) Reporting Applications.

Founder & CEO

Delivery Layer is a platform that powers revenue generating data through web applications and APIs that deliver your internal data to customers and partners.  
  
We dramatically improve time to market for data products. Enterprise scale products can launch in under a quarter, and consulting project front-ends can ship in days.  

This is only possible because we focus exclusively on applications that deliver your internal data to customers (as opposed to when customers send data into your systems).
  
Our pre-built infrastructure and unique battle-tested experience allows us to move at blazing speeds.

At a conference this morning, I gave an AI agent company my name, LinkedIn profile & phone number so it could create an AI version of me that I could chat with over text. So far "AI Solomon" has texted me nine times about meeting up at the happy hour later this afternoon 🤣🤣🤣

Didn't even try chatting me up first about reporting applications. Had to block the little dude...

Sneak peek into the future of runaway AI agents stuck in a loop!!!

Data Leader | Founder @ Reporting Applications | ex Nielsen P&L owner | ex unicorn SaaS VP of Data | Podcast Host

I'm absolutely certain that chat will be the data interface for business users in an AI world, because chatting "can you just pull some numbers real quick" HAS ALWAYS BEEN THE INTERFACE for how business users get data!!!

If you or someone you love need to build a reporting application next year, wanted to put ReportingApplications[.]com on your radar. That's literally all we do - we're a small consulting company that builds reporting applications (internal, custom and embedded).

That's it - not every LinkedIn post needs a hero's journey :)

Built dataGOATs.org Community | Simplifying Trail Stewardship @ TrailAdvocate.app | Chair of WCTA | Helping People Solve Problems with Emerging Tech, Storytelling, and Connection

Tomorrow, we'll be chatting with Solomon Kahn on all things analytics leadership, delivering value, and building things!

Won't make the live?  Drop a question here: https://lnkd.in/g5ecW6D7

Joe Reis 🤓

Chief Operating Officer

DeepLearning.AI

Instructor

ThinkQuick, LLC

Data engineering and architecture consulting.

Owner

Ternary Data

Ternary Data are veteran data engineers and “recovering data scientists” who have firsthand experience with the challenges of succeeding with data. We offer practical data engineering advice.

O'Reilly Media

Author

University of Utah

Adjunct Professor

Big Squid, Inc.

* Consulted with Big Squid clients and sales prospects about how to implement and leverage data science and machine learning within their organization.
* Built and implemented data science curriculum and training for Big Squid's sales and consulting team.
* Advised engineering and product team on data science best practices, infrastructure, and algorithms.
* Engineered data science and predictive analytics solutions for clients.
* Certified Domo technical consultant.

Director of Predictive Analytics

Teem

* Built Teem's (formerly Eventboard, now WeWork) analytics and data platform from the ground up. The insights and data help optimize and empower the workplaces of many smart companies including Uber, LinkedIn, Netflix, Dropbox, Airbnb, Palantir, Pinterest, Twitter, etc, etc, etc.
* Built and managed a team of nearly a dozen brilliant engineers and data scientists.
* Oversaw all data science and data engineering initiatives.

Lead engineer - Analytics and Data Science

JobDash

* Refactored front end of application from Django into Angular
* Enhanced company's analytics capabilities via internal BI 
* Core technologies used: Django, Python, Angular

Software Engineer

Pure Predictive

* Worked on Pure Predictive, a cutting edge machine learning application. Focused heavily on solving the fundamental problem in which data scientists spending 80%+ of their time on preprocessing and munging data, and only a fraction of their time on analysis. 

* Core development and invention of automated data preprocessing and feature selection tools to transform data into machine readable format. End result: reduced the time spent on data science pre-processing and data munging from 20+ hours to around 1 minute.

* Project lead of a team consisting of top notch data scientists, senior software engineers, and Math PhDs.

* Heavily involved in machine learning.

* Technologies used: Python, Java, Hadoop, AWS, Unix

Skullcandy Inc.

* Demand planning, forecasting, and global supply chain management.

* Worked with key Asian vendors.

* Integrated Astro's supply and demand components into Skullcandy.

* Implemented MRP, forecasting processes, and supply chain management processes for their gaming division.

* Supported global product launches into major Consumer Electronics retailers (Best Buy, Target, Gamestop, and key international partners). 

* Key to the success of the hottest gaming headset of 2012 - the Astro A50.

* Experience with SAP, Oracle Demantra.

Operations/Supply Chain

Best-Selling Author | Data Engineer and Architect | Recovering Data Scientist ™ | Global Keynote Speaker | Professor | Podcaster & Content Creator

Helping data leaders and teams build systems that scale, with clarity, real-world insight, and a healthy dose of skepticism toward hype.

If you’re navigating the challenges of modern data and AI engineering, you’re not alone. Whether it’s designing resilient pipelines, managing organizational chaos, or separating signal from noise in the AI era, the goal is simple: get data from source to value, reliably and efficiently.

That’s where I come in:
- Co-author of the bestselling Fundamentals of Data Engineering (O’Reilly), used by 100,000+ professionals worldwide
- Instructor of Coursera’s top-rated Data Engineering course
- Host of a popular newsletter, podcast, and video series focused on real talk in data and AI
- Advisor and educator to top data and AI leaders across startups, enterprises, and VC firms

Looking to make better decisions with your data stack, your team, or your roadmap? Shoot me a message and let's chat.

Looking to make better decisions with your data stack, your team, or your roadmap? Subscribe to my newsletter for regular updates: https://joereis.substack.com/

AI agents will operate at a scale that humans won't match, and will need new ways of working with data.

In this episode, Ciro Greco (CEO @ bauplan) and I chat about why AI agents need a new lakehouse paradigm, next-gen "Git for data", and much more.

Links in the comments.

Joe Reis

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