Over the last twenty years, several complementary trends have revolutionized the role of data in nonprofit organizations.
The exponential growth ofcomputing power,
the ready availability ofcustomizable databases,
the accessibility ofcloud-based data systems and services,
and the explosion inelectronic communication channels.
All of which open new opportunities that were previously out of reach for most nonprofits. Today, even small organizations can gather data about constituents, segment them across geographic, demographic, and psychographic dimensions, and understand important metrics for various constituent groups.
This kind of digital,data-drivenmeasurement and engagement strategy requires organizations to developnew internal capacities,learn new skills, anddevelop novel viewsof their data, constituents, and opportunities. Completing the digital transformation requires the evolution and maturation of many aspects of an organization.
What does a mature data-informed organization look like? How does expertise in data management lead to better decision-making, improved internal functioning, better client engagement, and higher ROI?
At a mature organization, data is gatheredconsistently and efficientlyinto integrated warehouses, not segregated silos. All constituent interactions with the organization aretracked togetherand relationships to other constituents are also recorded,providing a 360-degree viewof the constituent. Information capture and retention is held to a level of quality and completeness that is in alignment with the reporting and segmentation needs of the whole organization.
Senior leadershiprelies on metricsto evaluate organizational performance relative to outcomes, middle management have reporting onprocess effectiveness, and line staff have access to data and reports tosupport their day-to-day operations. Staff at all levels can use data to initiate process improvements, and a Data Leader drives ongoing, iterative improvements from a senior leadership position.
They further ensure that new investments in technology align with the existing constellation of systems and integrations at the organization, and offers strategic guidance to the senior leadership team for how to continue to leverage data technology to drive the organizational mission forward. The organization has clear Key Performance Indicators (KPIs) and established recurring reports that are analyzed to turn data into insights.
At adata-driven nonprofit organization, every person is both a producer and consumer of data, and relevant data provides insight into decision-making at every level, from the front desk to the C-Suite.
This vision for ongoing and effective innovation driven by data technology is a process ofmaturation, not a sudden metamorphosis. There is no cocoon an organization can enter into as a manual-entry caterpillar, and emerge a short while later as a fully integrated data butterfly. The maturation process is an iterative process that requiresfocus,leadership, andinvestmentto move the organization from one stage to the next.
At its core,digital maturationis the management offive discrete functional areasrelated to data, which we call the building blocks of data leadership, as per the diagram below:
Data Maturity Model
The purpose of aData Maturity Modelis to provide organizations withvisionanddirection. The direction is explored below, as we provide characteristics of the four different stages of data maturity. Individual organizations can, through a brief self-assessment, find themselves on the maturity curve, and can quickly identify steps that will drive them forward.
Transitioning to the next level requiresresources,expertise, andattention. As an organization progresses on the maturity model, different building blocks will begin to take a more central role. For example, in the early stages, managing data and the platforms it lives on are the heart of the work. As an organization grows and progresses, issues of data governance and policy become central. Over time, organizations will extend control over all of these building blocks.
Organizations that focus and make incremental progress will achieve long-term success.