For this 3 lesson series, which will equip you with the critical concepts necessary to accelerate your organization’s
ability to use data to increase audience engagement and real-world impact.
Is your data helping you answer questions that will improve your outreach and increase donations?
For many mission driven organizations, the answer is no.
Why is that?
Just a few of the roadblocks we’ve heard about when speaking at conferences and other events, are featured in the bulleted list below (and even more are given in this blog post).
If some of the answers feel familiar, we can help you clear some of these obstacles and get on the path to developing a data driven culture in your organization.
This series has been designed to focus on a critical aspect of data strategy each day.
Together we’ll dive into:
- Three core components of leading with data
- Three steps to unlocking the real value of Google Analytics
- Data across systems: from website analytics & email metrics to CRM data, donations, advocacy actions and beyond.
By the end of the series, our goal is for you to have a powerful framework for improving data strategy at your organization, enabling you to use your data to make a measurable impact on the world.
One of our project managers frequently says: “Answers get all the credit, but questions do all the work.” Think about it… The right questions can enable you to use your data to make a measurable impact on the world. So what you need to ask yourself is:
Is your data helping you answer the right questions?
All too often the answer is no. Why is that?
Perhaps you don’t know what tools you need or aren’t aware of all that your current tools can do for you. Who in your organization has time to do all the research to learn that stuff?
And speaking of “ain’t nobody got time for that”, does your organization have a Chief Analytics Officer, or are there data heroes scattered across departments? Do you need to have a designated person to effectively execute a data strategy?
Are you even aware of what types of data you are collecting? In many organizations, data ends up siloed in various departments rather than being looked at holistically.