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Stephanie Wong

Stephanie Wong

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2 viral posts with 20,447 likes, 479 comments, and 996 shares.
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Best Posts by Stephanie Wong on LinkedIn

Sankey diagrams = muuuuuch better for earnings reports πŸ“Š

A couple of things I find interesting from the big players:

1️⃣ Revenue for product areas is broken out very differently. Each company consolidates categories at various degrees, yet each touch impressively wide parts of diverse markets (heavy Ad revenue vs. hardware vs. e-commerce). This illustrates company reach and focus.

2️⃣ Revenue varies massively and is not a leading indicator. Even net profits can't be looked at alone. I'm surprised by some of the margins, especially Amazon. Though AWS is their profit puppy, the net profit for Amazon is much lower versus the other players (with Amazon.com net loss bringing it down).

3️⃣ Operating expenses are broken out very differently without clear comparisons between players, but it is interesting to see tax expense differences. They are substantial for most (but much lower for Amazon πŸ€”).

What do you think of these diagrams and Q3 performance? πŸ‘‡

Kudos and thanks to Bertrand Seguin (App Economy Insights) for these diagrams!

#markets #techearnings #techstocks
Post image by Stephanie Wong
Excited to share that we are launching #GoogleCloud's very first Data Engineering & Analytics Day on June 29! πŸŽ‰

We curated this entire day so you get to:

βœ… Learn data announcements and strategies from product & eng directly
βœ… Get access to level 200 labs
βœ… Take home resources to keep learning!

There will be 2 tracks covering #dataengineering & #analytics including training, labs, tutorials, & github repos for products like: BigLake, Dataplex, Severless Spark, Vertex AI Generative AI Studio, BigQuery, and Looker.

You'll learn how to centralize, govern, secure, streamline, analyze, and use data for advanced use cases like ML processing and #generativeAI.

We'll be sharing our latest new features related to data governance, streaming, generative AI, and data analytics, plus hands-on labs and demos never shared before.

Everything will be accessible afterwards for you to try on your own.

Come join on 6/29 and register now!

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