Data Operations

Data Operations

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Integrating in-store and mobile retail

Competitive moats and building in public

When old patterns no longer apply

A market for user-defined functions

What does a data scientist do, anyway?

Owning your time during a pandemic

OODA loops for process

"Everything Starts Out Looking Like A Toy" (No. 19)

World 2.0 for software

Making your graphs better

What's it like to work for a startup?

You need data to run your business

Shaping dashboards into a better "what if" decision model

Does Zoom have a defensible "moat"?

Writing a better Standard Operating Procedure

Data's goal is to connect the business

“Everything starts out looking like a toy” (No. 10)

“Everything starts out looking like a toy” (No.9)

Data Operations: Building a Data Factory

“Everything starts out looking like a toy” (No.8)

“Everything starts out looking like a toy” (No.7)

“Everything starts out looking like a toy” (No.6)

“Everything starts out looking like a toy” (No. 5)

How to Build a RevOps Change Log

“Everything starts out looking like a toy” (No. 4)

Building a Data Operations Practice in RevOps

“Everything starts out looking like a toy” (No. 3)

“Everything starts out looking like a toy” (No.2)

“Everything starts out looking like a toy” (No.1)

Data Operations: the Fuel for Your Business

The intersection between sales operation, marketing operations, and customer operations is data ops.

© 2025 Greg Meyer
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