In the nonprofit and social sector, data is everywhere—whether it’s survey responses, attendance records, financial data, or program outcomes.

But numbers alone don’t drive change. It’s how you interpret and apply them that makes the difference.

As part of a three-part series, we previously discussed the strategist, and now we’re focusing on the analyst—the person who turns data into clear insights that inform decisions.

Funders want proof that your programs are efficient and impactful. 

But pulling together data to show your impact feels challenging when you don’t have the tools, systems, or extra staff to make it happen.

Your team is likely piecing together metrics with limited capacity, resulting in reports that fall short and reinforce the cycle of underfunding. 

Today’s episode is about breaking that cycle.

Have you ever wondered what it takes to be a successful data-driven leader?

In this episode, we’re diving into the three roles every data-driven leader must play and how mastering them can drive your organization forward.

Drew explains the three essential roles of a data-driven leader: the strategist, the analyst, and the storyteller. He shares how these roles help leaders make informed decisions, communicate data effectively, and drive strategic initiatives.

This episode is a must-listen for anyone who wants to break free from the cycle of reactive leadership and start building a sustainable, impact-driven organization.

Building a strong data culture in nonprofits and public sector organizations can bring big advantages. When leaders focus on using data, they save time, raise more money, and make better choices for their organizations.

Even though it might seem tough to invest in data with limited budgets, the long-term benefits make it worthwhile. By using data to guide their actions, organizations improve how they work and make a bigger impact on the people they serve.

In this episode, Drew shares exactly how creating a culture of data can lead to these positive changes. You’ll also hear real examples of organizations using data to make smarter choices, improve their programs, and build long-term success.

For many organizations, the challenge isn't just in collecting or analyzing data—it's in making data a core part of the decision-making process. Leaders often find it difficult to embed a culture where data-driven decisions are not just encouraged but are the norm. Despite having access to valuable data, teams may hesitate to use it due to a lack of confidence, unclear expectations, or insufficient support from leadership.

In a previous episode, we explored what defines a strong culture of data, including leadership commitment, data literacy, and governance. But today, we're taking it a step further by discussing the practical strategies you can implement to cultivate this culture within your own organization.

What is a data culture? When we talk about culture, it's about an environment. It's about practices. It's about habits. It's kind of like the air you breathe—the part of an organization that's sometimes hard to pinpoint but is always there.

A data culture means creating an environment where the use of data is a priority in decision-making and is part of everything you do. You gather evidence, collect data, evaluate programs, and use this information to make decisions about management, fundraising, and more.

A data culture has several key elements, and we’ll cover five of them so you can understand what’s important for building an organization that uses data in everything it does. Data should not be an afterthought but a central part of how an organization operates, makes decisions, and evaluates its impact.