As part of the Strategico Consulting team focused on enterprise-level data strategy, I spend a great deal of time helping nonprofit organizations make sense of their data. Across projects, one theme consistently emerges: organizations are not lacking data; they are struggling to trust and use what they already have. 

This is especially true in the spring, when we typically think about cleaning out closets, offices, and inboxes. But we rarely apply the same discipline to our data systems that clutter our digital workspaces, create friction with all the disorganization, and far too often leads to anemic business decision-making. 

In my previous Strategico blogs, I’ve written about the importance of understanding your data ecosystem and asking better questions before building dashboards . I’ve also encouraged organizations to “show their data a little love” by keeping what matters and letting go of what doesn’t. Spring is the perfect time to bring those ideas together into action. 

For most nonprofits running a basic CRM and an event management application within an Office 365 environment. Here are five core data cleaning activities that can dramatically improve clarity, confidence, and control.

1. Deduplicate and Establish the “Golden Record” 

At the heart of every effective data system is a simple concept: one trusted version of the truth. 

In practice, this is often missing. 

Nonprofits frequently have multiple records for the same individual: one from an event registration, another from a donation form, and yet another from a newsletter signup. Over time, these duplicates fragment the story of your members. 

This is where the golden record becomes essential. 

A golden record is your organization’s agreed-upon, most accurate, and complete version of a member. Establishing it requires: 

• identifying duplicate records

• determining which fields are authoritative

• deciding which system “owns” the data 

Without this step, even the most sophisticated reporting will produce misleading results. You may think you have three engaged donors when you actually have one highly engaged individual. 

More importantly, duplicates erode trust. Staff begin to question reports, hesitate to act, and ultimately rely on intuition instead of data.

2. Standardize Data for Consistency and Meaning 

Once duplicates are addressed, the next challenge is consistency. 

Nonprofit data is often filled with small variations that create large analytical problems: 

• “CA” vs. “California” 

• inconsistent campaign names 

• changing event titles year to year 

• multiple formats for phone numbers or dates 

These inconsistencies make it difficult to aggregate, compare, or interpret data. More importantly, they undermine your ability to define meaningful metrics, something I’ve emphasized as critical for decision-making . 

Standardization is not a technical exercise; it is an organizational agreement. 

It requires teams to align on:

• naming conventions

• data definitions

• coding structures

• shared expectations across systems 

When organizations invest in this alignment, they create a foundation where reports are not just produced—but trusted. 

3. Archive and Let Go of What No Longer Serves You 

One of the most overlooked aspects of data cleaning is knowing what to keep and what to release. 

In earlier writing, I compared this to applying a “Marie Kondo” approach to data: keep what serves a purpose and make intentional decisions about the rest. 

Nonprofits accumulate data rapidly:

• outdated event lists

• inactive contacts

• legacy spreadsheets in SharePoint or in one’s OneDrive or laptop

• old survey files with no clear use 

While storage may be inexpensive, unmanaged data creates noise. Staff waste time searching, second-guessing relevance, and navigating outdated information. 

Spring cleaning is an opportunity to: 

• archive historical data

• appropriately remove redundant files 

• document what is retained and why 

This is not about deleting everything, it is about restoring clarity. When your systems contain only purposeful data, your team can move faster and with greater confidence.

4. Validate Contact Data to Strengthen Engagement 

Nonprofits rely heavily on communication: email campaigns, event invitations, donor outreach. Yet contact data is one of the fastest areas to degrade. 

People change jobs. They move. They update email addresses. 

Without regular validation, your systems quietly lose effectiveness:

• emails bounce 

• engagement declines 

• segmentation becomes unreliable 

Validating contact data means: 

• confirming email accuracy 

• updating addresses and phone numbers 

• reviewing communication preferences and consent 

This work may feel operational, but its impact is strategic. Clean contact data directly improves engagement, fundraising outcomes, and member experience. 

It also reinforces trust internally. When staff see that outreach efforts are reaching the right people, confidence in the system grows.

5. Reconcile Data Across Systems 

Perhaps the most complex and most important activity is ensuring your systems work together. 

Most nonprofits operate across multiple platforms:

• Customer Relationship Management (CRM) or Association Management Software (AMS) 

• Event management tools 

• Website/Content Management Systems(CMS) forms 

• Excel and SharePoint environments 

These systems rarely integrate perfectly. The result is a fragmented data ecosystem: 

• event participation not reflected in the CRM 

• website leads not captured consistently 

• spreadsheets becoming “shadow systems” 

In my consulting work, I often find that organizations understand parts of their data ecosystem, but not how those parts connect . 

Spring cleaning is the time to map and reconcile: 

• how data flows between systems 

• where manual processes introduce risk 

• which system serves as the source of truth 

This step is critical for building the golden record at scale. Without it, inconsistencies will continue to reappear, no matter how much cleaning you do within individual systems. 

Clean Data Is About Trust, Not Perfection 

It is tempting to think of data cleaning as a technical task, that it is just something to fix in the background. In reality, it is foundational to how organizations function. 

When data is clean:

• leaders trust reports 

• staff make faster decisions 

• teams align around shared information 

• strategy becomes evidence-based 

When it is not, uncertainty creeps in. People revert to instinct, duplicate work increases, and opportunities are missed. 

Clean data is not about achieving perfection. As I often remind organizations, we should not let perfection prevent progress . Instead, it is about building simple, repeatable practices that improve confidence over time. 

Ultimately, spring cleaning your data is an investment in organizational trust. 

And trust, internally and externally, is what allows nonprofits to turn information into insight, and insight into meaningful impact.