Data & Tech. Solutions
Data strategy, data management, and automation
A data strategy in a non-profit organization needs to meet at least four benchmarks:
Generates evidence: Data is reliable, accessible, actionable, and can answer the right questions.
Efficient & affordable: The data strategy should save time and money.
User-friendly: Interacting with data should not require a high technical acumen.
With the University of Chicago’s Center for Data Science and Public Policy, our data strategy assessment process helps organizations assess the organizational and technical readiness for evidence-based data analysis.
A data strategy assessment is a good starting place for strengthening evidence-based practices and policies.
Are you maximizing your existing data and technology solutions? Are there easy steps you can take to greatly improve monitoring/reporting, decision-making, and communication?
We can help you assess your existing data strategy and make recommendations based on necessary requirements, goals, stage of development, and knowledge gained from the data maturity framework.
A common question we receive is what platforms, databases, and SAAS tools we use and recommend. Our commitment is to remain tool agnostic. Most medium-sized or larger organizations that we work do not replace their core database or CRM system. Often, after the data strategy assessment, our work is focused on maximizing and supplementing their existing technology toward the four benchmarks. This may include adding some automation, interactive and customized dashboards that answer their specific questions and are built with their planned reporting in mind, or spatial analysis with web applications.
When organizations do not have a database or automated data pipeline, we can help implement a solution and provide training and support.