Jan. 12, 2026 · isinulat na salin

TUNGKOL SA EPISODE NA ITO

If you’re a data analyst (or an ops-minded founder) who keeps getting stuck in “fix the process” mode but suspects the real issue is bigger than a checklist, this episode is for you.

I’m joined by Will Stewart, founder of Empower Core Solutions, to break down systems thinking in plain language: a process is linear, but a system is a living network of people, tools, feedback loops, and invisible bottlenecks.

We talk through how to spot the leverage point that actually changes outcomes (instead of polishing the wrong thing), and why “the data is clear” still isn’t enough if the human side isn’t accounted for.

Will also shares practical ways to diagnose operational chaos, improve decision-making, and communicate change so stakeholders don’t resist it, plus how to build systems that scale without you becoming the bottleneck.

Topics:

The Power of Systems Thinking
Understanding Business Systems
Human Elements in Systems
Responsibility in System Maintenance
Feedback Loops and Organizational Culture
Understanding Feedback Loops in Business
Challenges in System Organization
The Human Element in System Changes
The Role of Data Analysts in Persuasion
Accepting Limitations in Change
Mental Models and Resistance to Change
Holistic Approach to Systems Thinking

Listen on YouTube: https://www.youtube.com/@quietlyambitiousanalyst
Follow Will Stewart: Website - www.empower-core.com
LinkedIn - https://www.linkedin.com/in/willhstewart2/

Quietly Ambitious Analyst
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The Quietly Ambitious Analyst–where business context meets data communication.

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SA EPISODE NA ITO

Will Stewart

analytics

business

communication

data

systems

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KOPYA NG SALIN 🔗

WEBVTT
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00:00:00.200 --> 00:00:04.320
Welcome to the Quietly Ambitious Analyst, a podcast about data,
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00:00:04.360 --> 00:00:08.439
communication and business. I'MSEB Forbes, and in each episode will
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unpack what it really takes to influence decisions with data,
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from framing business problems to communicating insights with confidence. Because
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data alone doesn't drive change.
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00:00:19.559 --> 00:00…

See full transcript

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