Data analytics are the key your nonprofit needs to unlock personalized communications, stronger donor relationships, maximized revenue, and efficient operations. For instance, you might leverage data about your work and impact to tell compelling stories that inspire more donations and supporter engagement.
However, as the computer science adage goes, “garbage in, garbage out” (GIGO). In other words, data insights are only as reliable as the raw data you start with. To use your data to its fullest advantage, you’ll need to ensure your database is clean, consolidated, and up to date.
This guide explains the importance of data hygiene for your nonprofit and explores four tips to keep your data healthy.
Why Data Hygiene Matters
Data hygiene is the process of keeping your database up to date, comprehensive, and free of errors (e.g., duplicate records). It is often pushed to the back burner so nonprofits can tackle more urgent tasks, but neglecting data can have a cumulative negative impact.
Consistent data hygiene practices benefit your nonprofit by:
- Future-proofing for migrations: Your nonprofit will likely need to upgrade its software at some point, but messy data can significantly increase the cost and complexity of that migration. Maintaining a clear database now paves the way for simpler upgrades in the future.
- Enabling personalized communications: Donors are seeking personalized experiences that make them feel seen and valued for their individual contributions. However, you can’t segment your audience or send personalized messages if your fields are empty or incorrect. Clean data deepens donor relationships by ensuring you send targeted messages to the right person.
- Enhancing AI outputs: Outputs from AI models are only as good as the information they are trained on. When your records are accurate, AI tools can provide reliable predictive insights, generate relevant content, and automate tasks with a much lower risk of hallucinating based on bad data.
- Boosting transparency: Maintaining a single source of truth allows you to pull reports with full confidence that they will be accurate and as up to date as possible. You can provide updates to your board, report on specific financial requirements (e.g., fund accounting), and share impact reports or updates with supporters to increase transparency.
- Accurate forecasting: Clean data enables accurate forecasting for fundraising and program capacity. This ensures your reports provide leadership with a reliable look at your organization’s future, supporting more informed budgetary decisions.
Additionally, frequent data audits and cleanup activities can help you identify gaps in your database that can be closed through data enrichment or appends. Supplementing your existing records enhances targeting, improves segmentation, and helps you develop more meaningful donor relationships.
4 Tips for Prioritizing Your Data
Establish Clear Data Governance and Entry Standards
A common source of dirty data is inconsistent entry. For example, if one staff member enters “Street” while another enters “St.” and a third enters “St,” you’ll have three variations that could hamper automated reporting or duplicate detection.
Create a standardized data entry policy for your organization by:
- Standardizing naming conventions: Outline specific rules for abbreviations, titles, addresses, phone numbers, etc.
- Using validation rules: Set validation rules in your CRM to prevent users from saving a record if it doesn’t meet specific criteria (e.g., ensuring an email address contains an @ symbol).
- Limiting free-text fields: Wherever possible, use drop-down menus instead of open text boxes. This can significantly reduce spelling errors and formatting inconsistencies.
- Implementing automated matching and cleaning rules: If you sync data from other platforms, like event data, into your CRM, don’t let it flow in unchecked. Use duplicate management rules to prevent multiple records for the same supporter, and use background automation to format text to match your internal standards without manual intervention.
Integrate Your Tech Stack to Eliminate Silos
Siloed data can also cause data decay. If your volunteer data, email marketing records, and fundraising data live on separate platforms, changes made in one system (e.g., a donor updating their address) likely won’t be reflected across all of them.
Choosing a robust CRM that unifies your tech stack is integral to building a single source of truth. As Fíonta explains, investing in one of these systems will centralize your data on one platform, helping you track donors’ history, enable smarter segmentation, accurately measure program outcomes, and create personalized experiences.
To eliminate and prevent silos, consolidate as many functions as possible onto your core CRM platform. Before adding a new third-party tool, check whether your CRM has native functionality that meets your needs and can replace a disconnected app. This minimizes the number of potential failure points in your data flow and ensures the bulk of your donor engagement data is captured directly in your main database.
Leverage AI and Automation for Routine Maintenance
Today, AI and automation tools can handle the heavy lifting of data hygiene, so you no longer have to manually clean data row by row.
- NCOA automation: The National Change of Address (NCOA) registry is a USPS system that collects updated address information for people who have recently moved. Use tools that automatically compare your mailing against the NCOA registry every quarter. This will keep your direct mail lists accurate, allowing you to continue connecting with your supporters.
- AI-assisted deduplication: AI can automatically identify and remove duplicate records. Some advanced tools can identify similar or partial matches (i.e., records that look similar but not identical, like “Rob Smith” and “Robert Smith” at the same address) and suggest merges.
- Quick AI-powered updates: If your team gets data from sources that can’t be automatically synced with your database, like a phone call or in-person meeting, it might fall through the cracks. Using an AI-powered agent makes it faster for your staff to update your records. For example, ask the agent to, “Update the ‘Last Gift Date’ and ‘Gift Amount’ on Michael Smith’s contact record to reflect the $1,000 donation from this morning.”
- Bot protection: If you use online forms, ensure you have automated CAPTCHA or spam traps to prevent fake entries from bots from entering your database.
Schedule Regular Audits and Deduplication
Set a recurring schedule for high-level data audits to assess your database, identify major areas for improvement, and catch any issues that went unnoticed in routine data hygiene checks. NPOInfo’s guide to data hygiene breaks the auditing process into the following steps:
- Identify problems. Determine the main issues your organization is facing with data collection and management. Then, outline the main objectives you’re looking to achieve with the audit.
- Pinpoint unhelpful information. Identify and remove inaccurate or outdated information. If you notice trends or patterns, such as dozens of outdated emails, you may need to update your data entry guidelines or implement new automation tools.
- Identify inconsistencies. Your organization may have cycled through multiple methods for entering information, potentially leading to inconsistencies between old and new records. Note any inconsistencies, remind your team to follow your data entry standards, and update older entries to meet current standards.
- Share findings with your team. Share insights from your audit with your board of directors and any relevant stakeholders. Outline your next steps and whether you will be changing any of your data management practices.
A high-level audit of your database gives you a better sense of how to make significant improvements and fill in any gaps. Think of them as a learning experience for you and your staff, and offer consistent refreshers on data management best practices.
Keeping your database in peak condition takes continuous effort, but it’s worth it. You’ll see a return on investment through better donor engagement, deeper relationships, and decisions backed by real data. By standardizing your data entry processes, integrating your tech stack, and leveraging AI, your nonprofit can build a reliable database that furthers your mission.