AI at Work: When to Trust, Adapt, or Toss AI Outputs

Before you embed AI into workflows, make sure you can tell which outputs to trust, tweak, or toss.

3 hrs ago • 

We Dig Data

Vetting New Data: Questions to Ask Before You Buy

Our fast, practical guide to separating valuable data from a shiny distraction.

Oct 22 • 

We Dig Data

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AI at Work: Why Data Inputs Matter

AI doesn’t think for you. It thinks with the inputs you craft.

Oct 16 • 

We Dig Data

Trends You Can Trust: Beyond the Basics

Trends grab attention fast - ‘donations doubled,’ ‘sales spiked,' ‘engagement soared.’ But without knowing how to analyze them, you risk chasing noise.

Oct 2 • 

We Dig Data

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September 2025

AI at Work: Frame the Problem

Successfully leveraging AI tools starts with the very human task of clarifying the problem and judging whether AI is the right tool for the job.

Sep 26 • 

We Dig Data

3

AI at Work: The Human Factor

Problem framing, input intelligence, results assessment, and clear communication - these essential skills put human judgment at the center of deploying…

Sep 19 • 

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3

Is This Data Worth It? How to Vet a New Feed Before You Leap

New data sources can be shiny, exciting, and yet totally wrong. This is a practical method to quickly evaluate a new data feed. No SQL required.

Sep 12 • 

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Process Before Platforms

Understand the problem before you invest in the fix.

Sep 5 • 

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August 2025

Becoming Data-Informed: Small Habits, Big Impact

Practical strategies for weaving data into your work.

Aug 26 • 

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July 2025

Your Tech Partner’s Love Language Isn’t a Jira Ticket

An effective relationship with your data or technical partner can be one of your most rewarding - if you bring the right mindset.

Jul 29 • 

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June 2025

Automate with Purpose

Streamline Your Data Workflow Without Losing Control

Jun 16 • 

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Trends You Can Trust: Foundations

Simple habits to help you spot misleading numbers and make smarter decisions.

Jun 16 • 

We Dig Data

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