Assessing and Building Capacity

We believe all organizations can derive value from their data. We conduct assessments of your organization’s readiness to embrace 21st Century analytics. Our assessments engage your personnel and identify gaps, highlight opportunities, and provide recommendations to help you reach your data and analytics goals. Our findings and recommendations integrate our knowledge and expertise into your organization’s day-to-day operations so that your organization can use analytics to drive and meet performance goals.

Why conduct a Gap Analysis?

Becoming a data-driven organization takes more than new IT and software. Your organization’s culture, structure, personnel, and processes need to be ready as well. Assessing your organization’s readiness to incorporate analytics into your work is a proactive step to identify potential roadblocks, challenges, and opportunities to make the most of your data. Our Gap Analysis will provide you with answers to the questions you need in order to get you to where you want to be.

1. What are your personnel’s perceptions about data?

2. Do personnel have access to the data they need?

3. What skills does your organization need to reach its data goals?

4. What is your organization’s culture around data?

5. How is your organization currently using data?

6. How does leadership use data?

7. Is your organization structured to incorporate data-driven decision making?

8. Are you collecting the right data, in the right way?

9. Is your data valid and reliable? Are there threats to your data’s validity and reliability?

10. What tools do you need to meet your organization’s goals?

11. Are your analyses answering the right questions?

The Gap Analysis Process

We assess your organization’s overall ability to implement analytics and data-driven decision making through a series of informational interviews and an in-depth document review. The length of this process depends on your organization’s size, needs, and availability. Our interviews can be conducted virtually or in-person as needed.

Step 1: The process starts with identifying the goals of the project and gathering critical background information.

Step 2: We review documentation and conduct interviews with relevant personnel, external vendors, leadership,
and other stakeholders to understand current data processes, system designs, and critical uses of data.

Step 3: We begin drafting our findings while providing regular opportunities for feedback.

Step 4: We deliver our findings and present them as needed to the relevant stakeholders.